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speech | Speech recognition agents

 by   jaivox Java Version: Current License: Non-SPDX

 by   jaivox Java Version: Current License: Non-SPDX

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kandi X-RAY | speech Summary

speech is a Java library. speech has no bugs, it has no vulnerabilities and it has high support. However speech build file is not available and it has a Non-SPDX License. You can download it from GitHub.
Speech Recognition Agents, mainly implemented in Java. Relesed versions in "archive". jaivox_0.1 July 16, 2012. jaivox_0.2 September 29, 2012. jaivox_0.3 December 26, 2012. jaivox_0.4 May 5, 2013.
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kandi-support Support

  • speech has a highly active ecosystem.
  • It has 11 star(s) with 4 fork(s). There are 6 watchers for this library.
  • It had no major release in the last 12 months.
  • speech has no issues reported. There are no pull requests.
  • It has a positive sentiment in the developer community.
  • The latest version of speech is current.
speech Support
Best in #Java
Average in #Java
speech Support
Best in #Java
Average in #Java

quality kandi Quality

  • speech has 0 bugs and 0 code smells.
speech Quality
Best in #Java
Average in #Java
speech Quality
Best in #Java
Average in #Java

securitySecurity

  • speech has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • speech code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
speech Security
Best in #Java
Average in #Java
speech Security
Best in #Java
Average in #Java

license License

  • speech has a Non-SPDX License.
  • Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
speech License
Best in #Java
Average in #Java
speech License
Best in #Java
Average in #Java

buildReuse

  • speech releases are not available. You will need to build from source code and install.
  • speech has no build file. You will be need to create the build yourself to build the component from source.
speech Reuse
Best in #Java
Average in #Java
speech Reuse
Best in #Java
Average in #Java
Top functions reviewed by kandi - BETA

kandi has reviewed speech and discovered the below as its top functions. This is intended to give you an instant insight into speech implemented functionality, and help decide if they suit your requirements.

  • Loads data from the infonode
    • This method prints the examples .
      • Determine the minimum value between two int values .
        • Play a sound .

          Get all kandi verified functions for this library.

          Get all kandi verified functions for this library.

          speech Key Features

          Speech recognition agents

          Enable use of images from the local library on Kubernetes

          copy iconCopydownload iconDownload
          containers:
            - name: test-container
              image: testImage:latest
              imagePullPolicy: Never
          
          # Start minikube and set docker env
          minikube start
          eval $(minikube docker-env)
          
          # Build image
          docker build -t foo:1.0 .
          
          # Run in minikube
          kubectl run hello-foo --image=foo:1.0 --image-pull-policy=Never
          
              image: wm/hello-openfaas2:0.1
              imagePullPolicy: Always
          

          IndexError: tuple index out of range when I try to create an executable from a python script using auto-py-to-exe

          copy iconCopydownload iconDownload
          42681 INFO: PyInstaller: 4.6
          42690 INFO: Python: 3.10.0
          
          else:
              arg = None
              extended_arg = 0 
          yield (i, op, arg)
          
          extended_arg = 0
          

          Google Actions Builder stops execution when selecting a visual item from a List

          copy iconCopydownload iconDownload
          @Component()
          export class WelcomeComponent extends BaseComponent {
            async START(): Promise<void> {
              const isNewUser = true;
              if (isNewUser && this.$device.supports(Capability.Screen)) {
                return this.$send(NextSceneOutput, {
                  name: 'HelpScene',
                  message: 'Hi, I noticed you are a new user, let me walk you through some options.',
                });
              }
          
              return this.$send('Welcome!');
            }
          
            @Handle(GoogleAssistantHandles.onScene('HelpScene'))
            help() {
              const sessionData = this.$request.getSession();
              if (sessionData && sessionData.prompt_option) {
                return this.$send(NextSceneOutput, {
                  name: 'MainScene',
                  message: `You picked option ${sessionData.prompt_option}. This is some info about it ... What do you want to do now?`,
                });
              }
          
              return this.$send({
                platforms: {
                  googleAssistant: {
                    nativeResponse: {
                      session: {
                        id: 'session_id',
                        languageCode: '',
                        params: {},
                        typeOverrides: [
                          {
                            name: 'HelpOptionType',
                            typeOverrideMode: 'TYPE_REPLACE',
                            synonym: {
                              entries: [
                                {
                                  name: 'ITEM_1',
                                  synonyms: ['Item 1', 'First item'],
                                  display: {
                                    title: 'Item #1',
                                    description: 'Description of Item #1',
                                    image: {
                                      alt: 'Google Assistant logo',
                                      height: 0,
                                      url: 'https://developers.google.com/assistant/assistant_96.png',
                                      width: 0,
                                    },
                                  },
                                },
                                {
                                  name: 'ITEM_2',
                                  synonyms: ['Item 2', 'Second item'],
                                  display: {
                                    title: 'Item #2',
                                    description: 'Description of Item #2',
                                    image: {
                                      alt: 'Google Assistant logo',
                                      height: 0,
                                      url: 'https://developers.google.com/assistant/assistant_96.png',
                                      width: 0,
                                    },
                                  },
                                },
                                {
                                  name: 'ITEM_3',
                                  synonyms: ['Item 3', 'Third item'],
                                  display: {
                                    title: 'Item #3',
                                    description: 'Description of Item #3',
                                    image: {
                                      alt: 'Google Assistant logo',
                                      height: 0,
                                      url: 'https://developers.google.com/assistant/assistant_96.png',
                                      width: 0,
                                    },
                                  },
                                },
                                {
                                  name: 'ITEM_4',
                                  synonyms: ['Item 4', 'Fourth item'],
                                  display: {
                                    title: 'Item #4',
                                    description: 'Description of Item #4',
                                    image: {
                                      alt: 'Google Assistant logo',
                                      height: 0,
                                      url: 'https://developers.google.com/assistant/assistant_96.png',
                                      width: 0,
                                    },
                                  },
                                },
                              ],
                            },
                          },
                        ],
                      },
                      prompt: {
                        override: false,
                        content: {
                          list: {
                            items: [
                              {
                                key: 'ITEM_1',
                              },
                              {
                                key: 'ITEM_2',
                              },
                              {
                                key: 'ITEM_3',
                              },
                              {
                                key: 'ITEM_4',
                              },
                            ],
                            subtitle: 'List subtitle',
                            title: 'List title',
                          },
                        },
                        firstSimple: {
                          speech: 'This is a list.',
                          text: 'This is a list.',
                        },
                      },
                    },
                  },
                },
              });
            }
          
            // ...other intents...
          
          "conditionalEvents":
            - "condition": "scene.slots.status == \"FINAL\""
              "handler":
                "webhookHandler": "Jovo"
          "slots":
            - "commitBehavior":
                "writeSessionParam": "prompt_option"
              "name": "prompt_option"
              "promptSettings":
                "initialPrompt":
                  "webhookHandler": "Jovo"
              "required": true
              "type":
                "name": "HelpOptionType"
          
          @Component()
          export class WelcomeComponent extends BaseComponent {
            async START(): Promise<void> {
              const isNewUser = true;
              if (isNewUser && this.$device.supports(Capability.Screen)) {
                return this.$send(NextSceneOutput, {
                  name: 'HelpScene',
                  message: 'Hi, I noticed you are a new user, let me walk you through some options.',
                });
              }
          
              return this.$send('Welcome!');
            }
          
            @Handle(GoogleAssistantHandles.onScene('HelpScene'))
            help() {
              const sessionData = this.$request.getSession();
              if (sessionData && sessionData.prompt_option) {
                return this.$send(NextSceneOutput, {
                  name: 'MainScene',
                  message: `You picked option ${sessionData.prompt_option}. This is some info about it ... What do you want to do now?`,
                });
              }
          
              return this.$send({
                platforms: {
                  googleAssistant: {
                    nativeResponse: {
                      session: {
                        id: 'session_id',
                        languageCode: '',
                        params: {},
                        typeOverrides: [
                          {
                            name: 'HelpOptionType',
                            typeOverrideMode: 'TYPE_REPLACE',
                            synonym: {
                              entries: [
                                {
                                  name: 'ITEM_1',
                                  synonyms: ['Item 1', 'First item'],
                                  display: {
                                    title: 'Item #1',
                                    description: 'Description of Item #1',
                                    image: {
                                      alt: 'Google Assistant logo',
                                      height: 0,
                                      url: 'https://developers.google.com/assistant/assistant_96.png',
                                      width: 0,
                                    },
                                  },
                                },
                                {
                                  name: 'ITEM_2',
                                  synonyms: ['Item 2', 'Second item'],
                                  display: {
                                    title: 'Item #2',
                                    description: 'Description of Item #2',
                                    image: {
                                      alt: 'Google Assistant logo',
                                      height: 0,
                                      url: 'https://developers.google.com/assistant/assistant_96.png',
                                      width: 0,
                                    },
                                  },
                                },
                                {
                                  name: 'ITEM_3',
                                  synonyms: ['Item 3', 'Third item'],
                                  display: {
                                    title: 'Item #3',
                                    description: 'Description of Item #3',
                                    image: {
                                      alt: 'Google Assistant logo',
                                      height: 0,
                                      url: 'https://developers.google.com/assistant/assistant_96.png',
                                      width: 0,
                                    },
                                  },
                                },
                                {
                                  name: 'ITEM_4',
                                  synonyms: ['Item 4', 'Fourth item'],
                                  display: {
                                    title: 'Item #4',
                                    description: 'Description of Item #4',
                                    image: {
                                      alt: 'Google Assistant logo',
                                      height: 0,
                                      url: 'https://developers.google.com/assistant/assistant_96.png',
                                      width: 0,
                                    },
                                  },
                                },
                              ],
                            },
                          },
                        ],
                      },
                      prompt: {
                        override: false,
                        content: {
                          list: {
                            items: [
                              {
                                key: 'ITEM_1',
                              },
                              {
                                key: 'ITEM_2',
                              },
                              {
                                key: 'ITEM_3',
                              },
                              {
                                key: 'ITEM_4',
                              },
                            ],
                            subtitle: 'List subtitle',
                            title: 'List title',
                          },
                        },
                        firstSimple: {
                          speech: 'This is a list.',
                          text: 'This is a list.',
                        },
                      },
                    },
                  },
                },
              });
            }
          
            // ...other intents...
          
          "conditionalEvents":
            - "condition": "scene.slots.status == \"FINAL\""
              "handler":
                "webhookHandler": "Jovo"
          "slots":
            - "commitBehavior":
                "writeSessionParam": "prompt_option"
              "name": "prompt_option"
              "promptSettings":
                "initialPrompt":
                  "webhookHandler": "Jovo"
              "required": true
              "type":
                "name": "HelpOptionType"
          

          How to use muti-language in 'gTTS' for single input line?

          copy iconCopydownload iconDownload
          from googletrans import Translator
          from gtts import gTTS
          
          input_text = "Welcome to gtts! আজ একটি ভাল দিন। tumi kemon acho? ٱلْحَمْدُ لِلَّٰه"
          words = input_text.split(" ")
          translator = Translator()
          language, sentence = None, ""
          
          lang_code_table = {"sd": "ar"}
          
          with open('output.mp3', 'wb') as ff:
              for word in words:
                  if word == " ":
                      continue
                  # Detect language of current word
                  word_language = translator.detect(word).lang
          
                  if word_language == language:
                      # Same language, append word to the sentence
                      sentence += " " + word
                  else:
                      if language is None:
                          # No language set yet, initialize and continue
                          language, sentence = word_language, word
                          continue
          
                      if word.endswith(("?", ".", "!")):
                          # If word endswith one of the punctuation marks, it should be part of previous sentence
                          sentence += " " + word
                          continue
          
                      # We have whole previous sentence, translate it into speech and append to mp3 file
                      gTTS(text=sentence, lang=lang_code_table.get(language, language), slow=False).write_to_fp(ff)
          
                      # Continue with other language
                      language, sentence = word_language, word
          
              if language and sentence:
                  # Append last detected sentence
                  gTTS(text=sentence, lang=lang_code_table.get(language, language), slow=False).write_to_fp(ff)
          

          Assigning True/False if a token is present in a data-frame

          copy iconCopydownload iconDownload
          df["trumpMention"] = df["keywords"].apply(lambda x: "Trump, Donald J" in x)
          
          df['trumpMention'] = df['keywords'].apply(lambda x: 'Trump, Donald J' in set(x))
          
            articleID                                           keywords  trumpMention
          0  58b61d1d                    [Second Avenue (Manhattan, NY)]         False
          1  58b6393b                                [Crossword Puzzles]         False
          2  58b6556e  [Workplace Hazards and Violations, Trump, Dona...          True
          3  58b657fa         [Trump, Donald J, Speeches and Statements]          True
          
          np.where(any(df['keywords']) == 'Trump, Donald J', True, False) 
          
          df['keywords'].apply(lambda x: any(token == 'Trump, Donald J') for token in x) 
          
          df['keywords'].apply(lambda x: ([ True for token in x if any(token in lst)]))  
          
          any(token in lst)
          
          df['trumpMention'] = df['keywords'].apply(lambda x: 'Trump, Donald J' in set(x))
          
            articleID                                           keywords  trumpMention
          0  58b61d1d                    [Second Avenue (Manhattan, NY)]         False
          1  58b6393b                                [Crossword Puzzles]         False
          2  58b6556e  [Workplace Hazards and Violations, Trump, Dona...          True
          3  58b657fa         [Trump, Donald J, Speeches and Statements]          True
          
          np.where(any(df['keywords']) == 'Trump, Donald J', True, False) 
          
          df['keywords'].apply(lambda x: any(token == 'Trump, Donald J') for token in x) 
          
          df['keywords'].apply(lambda x: ([ True for token in x if any(token in lst)]))  
          
          any(token in lst)
          
          df['trumpMention'] = df['keywords'].apply(lambda x: 'Trump, Donald J' in set(x))
          
            articleID                                           keywords  trumpMention
          0  58b61d1d                    [Second Avenue (Manhattan, NY)]         False
          1  58b6393b                                [Crossword Puzzles]         False
          2  58b6556e  [Workplace Hazards and Violations, Trump, Dona...          True
          3  58b657fa         [Trump, Donald J, Speeches and Statements]          True
          
          np.where(any(df['keywords']) == 'Trump, Donald J', True, False) 
          
          df['keywords'].apply(lambda x: any(token == 'Trump, Donald J') for token in x) 
          
          df['keywords'].apply(lambda x: ([ True for token in x if any(token in lst)]))  
          
          any(token in lst)
          
          df['trumpMention'] = df['keywords'].apply(lambda x: 'Trump, Donald J' in set(x))
          
            articleID                                           keywords  trumpMention
          0  58b61d1d                    [Second Avenue (Manhattan, NY)]         False
          1  58b6393b                                [Crossword Puzzles]         False
          2  58b6556e  [Workplace Hazards and Violations, Trump, Dona...          True
          3  58b657fa         [Trump, Donald J, Speeches and Statements]          True
          
          np.where(any(df['keywords']) == 'Trump, Donald J', True, False) 
          
          df['keywords'].apply(lambda x: any(token == 'Trump, Donald J') for token in x) 
          
          df['keywords'].apply(lambda x: ([ True for token in x if any(token in lst)]))  
          
          any(token in lst)
          
          df['trumpMention'] = df['keywords'].apply(lambda x: 'Trump, Donald J' in set(x))
          
            articleID                                           keywords  trumpMention
          0  58b61d1d                    [Second Avenue (Manhattan, NY)]         False
          1  58b6393b                                [Crossword Puzzles]         False
          2  58b6556e  [Workplace Hazards and Violations, Trump, Dona...          True
          3  58b657fa         [Trump, Donald J, Speeches and Statements]          True
          
          np.where(any(df['keywords']) == 'Trump, Donald J', True, False) 
          
          df['keywords'].apply(lambda x: any(token == 'Trump, Donald J') for token in x) 
          
          df['keywords'].apply(lambda x: ([ True for token in x if any(token in lst)]))  
          
          any(token in lst)
          
          df['trumpMention'] = df['keywords'].apply(lambda x: 'Trump, Donald J' in set(x))
          
            articleID                                           keywords  trumpMention
          0  58b61d1d                    [Second Avenue (Manhattan, NY)]         False
          1  58b6393b                                [Crossword Puzzles]         False
          2  58b6556e  [Workplace Hazards and Violations, Trump, Dona...          True
          3  58b657fa         [Trump, Donald J, Speeches and Statements]          True
          
          np.where(any(df['keywords']) == 'Trump, Donald J', True, False) 
          
          df['keywords'].apply(lambda x: any(token == 'Trump, Donald J') for token in x) 
          
          df['keywords'].apply(lambda x: ([ True for token in x if any(token in lst)]))  
          
          any(token in lst)
          
          def mentioned_Trump(s, lst):
              if s in lst:
                  return True
              else:
                  return False
          s = [[1,['Second Avenue (Manhattan, NY)']],[2,['Crossword Puzzles']],
              [3, ['Workplace Hazards and Violations', 'Trump, Donald J']],
              [4, ['Trump, Donald J', 'Speeches and Statements']]]
          
          import pandas as pd
          df = pd.DataFrame(s)
          df.columns =['ID','keywords']
          
          s = list( df['keywords'])
          s1 = [mentioned_Trump('Trump, Donald J',x) for x in s]
          
          df['trumpMention']= s1 
          print(df)
          
          df.keywords.astype(str).str.contains("Trump, Donald J")
          

          Yielding values from consecutive parallel parse functions via meta in Scrapy

          copy iconCopydownload iconDownload
          from scrapy import Item, Field
          
          
          class MvItem(Item):
              name = Field()
              party = Field()
              bill_prop_count = Field()
              res_prop_count = Field()
              speech_count = Field()
          
          from your_project.items import MvItem
          
          ...
          
          # COUNTING FUNCTIONS
          def bill_prop_counter(self,response):
              name = response.meta.get('name')
              party = response.meta.get('party')
          
              billproposals = response.xpath("//tr[@valign='TOP']")
          
              yield MvItem(**{ 'bill_prop_count': len(billproposals),
                      'name': name,
                      'party': party})
          
          def quest_prop_counter(self, response):
              name = response.meta.get('name')
              party = response.meta.get('party')
          
              researchproposals = response.xpath("//tr[@valign='TOP']")
          
              yield MvItem(**{'res_prop_count': len(researchproposals),
                     'name': name,
                     'party': party})
          
          def speech_counter(self, response):
              name = response.meta.get('name')
              party = response.meta.get('party')
          
              speeches = response.xpath("//tr[@valign='TOP']")
          
              yield MvItem(**{ 'speech_count' : len(speeches),
                     'name': name,
                     'party': party})
          
          bill_prop_count,name,party,res_prop_count,speech_count
          ,Abdullah DOĞRU,AK Parti,,11
          ,Mehmet Şükrü ERDİNÇ,AK Parti,,3
          ,Muharrem VARLI,MHP,,13
          ,Muharrem VARLI,MHP,0,
          ,Jülide SARIEROĞLU,AK Parti,,3
          ,İbrahim Halil FIRAT,AK Parti,,7
          20,Burhanettin BULUT,CHP,,
          ,Ünal DEMİRTAŞ,CHP,,22
          ...
          
          from scrapy import Item, Field
          
          
          class MvItem(Item):
              name = Field()
              party = Field()
              bill_prop_count = Field()
              res_prop_count = Field()
              speech_count = Field()
          
          from your_project.items import MvItem
          
          ...
          
          # COUNTING FUNCTIONS
          def bill_prop_counter(self,response):
              name = response.meta.get('name')
              party = response.meta.get('party')
          
              billproposals = response.xpath("//tr[@valign='TOP']")
          
              yield MvItem(**{ 'bill_prop_count': len(billproposals),
                      'name': name,
                      'party': party})
          
          def quest_prop_counter(self, response):
              name = response.meta.get('name')
              party = response.meta.get('party')
          
              researchproposals = response.xpath("//tr[@valign='TOP']")
          
              yield MvItem(**{'res_prop_count': len(researchproposals),
                     'name': name,
                     'party': party})
          
          def speech_counter(self, response):
              name = response.meta.get('name')
              party = response.meta.get('party')
          
              speeches = response.xpath("//tr[@valign='TOP']")
          
              yield MvItem(**{ 'speech_count' : len(speeches),
                     'name': name,
                     'party': party})
          
          bill_prop_count,name,party,res_prop_count,speech_count
          ,Abdullah DOĞRU,AK Parti,,11
          ,Mehmet Şükrü ERDİNÇ,AK Parti,,3
          ,Muharrem VARLI,MHP,,13
          ,Muharrem VARLI,MHP,0,
          ,Jülide SARIEROĞLU,AK Parti,,3
          ,İbrahim Halil FIRAT,AK Parti,,7
          20,Burhanettin BULUT,CHP,,
          ,Ünal DEMİRTAŞ,CHP,,22
          ...
          
          from scrapy import Item, Field
          
          
          class MvItem(Item):
              name = Field()
              party = Field()
              bill_prop_count = Field()
              res_prop_count = Field()
              speech_count = Field()
          
          from your_project.items import MvItem
          
          ...
          
          # COUNTING FUNCTIONS
          def bill_prop_counter(self,response):
              name = response.meta.get('name')
              party = response.meta.get('party')
          
              billproposals = response.xpath("//tr[@valign='TOP']")
          
              yield MvItem(**{ 'bill_prop_count': len(billproposals),
                      'name': name,
                      'party': party})
          
          def quest_prop_counter(self, response):
              name = response.meta.get('name')
              party = response.meta.get('party')
          
              researchproposals = response.xpath("//tr[@valign='TOP']")
          
              yield MvItem(**{'res_prop_count': len(researchproposals),
                     'name': name,
                     'party': party})
          
          def speech_counter(self, response):
              name = response.meta.get('name')
              party = response.meta.get('party')
          
              speeches = response.xpath("//tr[@valign='TOP']")
          
              yield MvItem(**{ 'speech_count' : len(speeches),
                     'name': name,
                     'party': party})
          
          bill_prop_count,name,party,res_prop_count,speech_count
          ,Abdullah DOĞRU,AK Parti,,11
          ,Mehmet Şükrü ERDİNÇ,AK Parti,,3
          ,Muharrem VARLI,MHP,,13
          ,Muharrem VARLI,MHP,0,
          ,Jülide SARIEROĞLU,AK Parti,,3
          ,İbrahim Halil FIRAT,AK Parti,,7
          20,Burhanettin BULUT,CHP,,
          ,Ünal DEMİRTAŞ,CHP,,22
          ...
          

          Rails. Puma stops working when instantiating a client of Google Cloud Text-to-Speech (Windows)

          copy iconCopydownload iconDownload
          sudo gem uninstall ruby-debug
          sudo gem install ruby-debug
          
          rm -rf Gemfile.lock
          bundle install
          
          sudo gem uninstall ruby-debug
          sudo gem install ruby-debug
          
          rm -rf Gemfile.lock
          bundle install
          

          R - Regular Expression to Extract Text Between Parentheses That Contain Keyword

          copy iconCopydownload iconDownload
          str_extract_all(filtered_df$named_entities, "\\([^()]*'LOC'[^()]*\\)")
          
          library(stringr)
          x <- "[('one', 'CARDINAL'), ('Castro', 'PERSON'), ('Latin America', 'LOC'), ('Somoza', 'PERSON')]"
          str_extract_all(x, "\\([^()]*'LOC'[^()]*\\)")
          # => [1] "('Latin America', 'LOC')"
          
          str_extract_all(x, "[^']+(?=',\\s*'LOC'\\))")
          # => [1] "Latin America"
          
          str_extract_all(filtered_df$named_entities, "\\([^()]*'LOC'[^()]*\\)")
          
          library(stringr)
          x <- "[('one', 'CARDINAL'), ('Castro', 'PERSON'), ('Latin America', 'LOC'), ('Somoza', 'PERSON')]"
          str_extract_all(x, "\\([^()]*'LOC'[^()]*\\)")
          # => [1] "('Latin America', 'LOC')"
          
          str_extract_all(x, "[^']+(?=',\\s*'LOC'\\))")
          # => [1] "Latin America"
          
          str_extract_all(filtered_df$named_entities, "\\([^()]*'LOC'[^()]*\\)")
          
          library(stringr)
          x <- "[('one', 'CARDINAL'), ('Castro', 'PERSON'), ('Latin America', 'LOC'), ('Somoza', 'PERSON')]"
          str_extract_all(x, "\\([^()]*'LOC'[^()]*\\)")
          # => [1] "('Latin America', 'LOC')"
          
          str_extract_all(x, "[^']+(?=',\\s*'LOC'\\))")
          # => [1] "Latin America"
          

          Huawei ML Kit Text to Speech Conversion Error

          copy iconCopydownload iconDownload
          .setPerson(MLTtsConstants.TTS_SPEAKER_FEMALE_ZH)
          
          .setPerson(MLTtsConstants.TTS_SPEAKER_MALE_EN)
          
          .setPerson(MLTtsConstants.TTS_SPEAKER_FEMALE_ZH)
          
          .setPerson(MLTtsConstants.TTS_SPEAKER_MALE_EN)
          

          RecognitionService: call for recognition service without RECORD_AUDIO permissions; extending RecognitionService

          copy iconCopydownload iconDownload
          <application
              android:name=".App"
              android:allowBackup="true"
              android:icon="@mipmap/ic_launcher"
              android:label="@string/app_name"
              android:roundIcon="@mipmap/ic_launcher_round"
              android:supportsRtl="true"
              android:theme="@style/AppTheme">
              <activity android:name=".MainActivity">
                  <intent-filter>
                      <action android:name="android.intent.action.MAIN" />
          
                      <category android:name="android.intent.category.LAUNCHER" />
                  </intent-filter>
              </activity>
              <service android:name=".SampleSpeechRecognizerService"
                  android:exported="true"
                  android:foregroundServiceType="microphone"
                  android:process=":speechProcess"
                  android:permission="android.permission.RECORD_AUDIO">
                  <intent-filter>
                      <action android:name="android.speech.RecognitionService" />
                      <category android:name="android.intent.category.DEFAULT" />
                  </intent-filter>
              </service>
          </application>
          

          Community Discussions

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          QUESTION

          Enable use of images from the local library on Kubernetes

          Asked 2022-Mar-20 at 13:23

          I'm following a tutorial https://docs.openfaas.com/tutorials/first-python-function/,

          currently, I have the right image

          $ docker images | grep hello-openfaas
          wm/hello-openfaas                                     latest                          bd08d01ce09b   34 minutes ago      65.2MB
          $ faas-cli deploy -f ./hello-openfaas.yml 
          Deploying: hello-openfaas.
          WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
          
          Deployed. 202 Accepted.
          URL: http://IP:8099/function/hello-openfaas
          

          there is a step that forewarns me to do some setup(My case is I'm using Kubernetes and minikube and don't want to push to a remote container registry, I should enable the use of images from the local library on Kubernetes.), I see the hints

          see the helm chart for how to set the ImagePullPolicy
          

          I'm not sure how to configure it correctly. the final result indicates I failed.

          Unsurprisingly, I couldn't access the function service, I find some clues in https://docs.openfaas.com/deployment/troubleshooting/#openfaas-didnt-start which might help to diagnose the problem.

          $ kubectl logs -n openfaas-fn deploy/hello-openfaas
          Error from server (BadRequest): container "hello-openfaas" in pod "hello-openfaas-558f99477f-wd697" is waiting to start: trying and failing to pull image
          
          $ kubectl describe -n openfaas-fn deploy/hello-openfaas
          Name:                   hello-openfaas
          Namespace:              openfaas-fn
          CreationTimestamp:      Wed, 16 Mar 2022 14:59:49 +0800
          Labels:                 faas_function=hello-openfaas
          Annotations:            deployment.kubernetes.io/revision: 1
                                  prometheus.io.scrape: false
          Selector:               faas_function=hello-openfaas
          Replicas:               1 desired | 1 updated | 1 total | 0 available | 1 unavailable
          StrategyType:           RollingUpdate
          MinReadySeconds:        0
          RollingUpdateStrategy:  0 max unavailable, 1 max surge
          Pod Template:
            Labels:       faas_function=hello-openfaas
            Annotations:  prometheus.io.scrape: false
            Containers:
             hello-openfaas:
              Image:      wm/hello-openfaas:latest
              Port:       8080/TCP
              Host Port:  0/TCP
              Liveness:   http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
              Readiness:  http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
              Environment:
                fprocess:  python3 index.py
              Mounts:      <none>
            Volumes:       <none>
          Conditions:
            Type           Status  Reason
            ----           ------  ------
            Available      False   MinimumReplicasUnavailable
            Progressing    False   ProgressDeadlineExceeded
          OldReplicaSets:  <none>
          NewReplicaSet:   hello-openfaas-558f99477f (1/1 replicas created)
          Events:
            Type    Reason             Age   From                   Message
            ----    ------             ----  ----                   -------
            Normal  ScalingReplicaSet  29m   deployment-controller  Scaled up replica set hello-openfaas-558f99477f to 1
          

          hello-openfaas.yml

          version: 1.0
          provider:
            name: openfaas
            gateway: http://IP:8099
          functions:
            hello-openfaas:
              lang: python3
              handler: ./hello-openfaas
              image: wm/hello-openfaas:latest
              imagePullPolicy: Never
          

          I create a new project hello-openfaas2 to reproduce this error

          $ faas-cli new --lang python3 hello-openfaas2 --prefix="wm"
          Folder: hello-openfaas2 created.
          # I add `imagePullPolicy: Never` to `hello-openfaas2.yml`
          $ faas-cli build -f ./hello-openfaas2.yml 
          $ faas-cli deploy -f ./hello-openfaas2.yml 
          Deploying: hello-openfaas2.
          WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
          
          Deployed. 202 Accepted.
          URL: http://192.168.1.3:8099/function/hello-openfaas2
          
          
          $ kubectl logs -n openfaas-fn deploy/hello-openfaas2
          Error from server (BadRequest): container "hello-openfaas2" in pod "hello-openfaas2-7c67488865-7d7vm" is waiting to start: image can't be pulled
          
          $ kubectl get pods --all-namespaces
          NAMESPACE              NAME                                        READY   STATUS             RESTARTS         AGE
          kube-system            coredns-64897985d-kp7vf                     1/1     Running            0                47h
          ...
          openfaas-fn            env-6c79f7b946-bzbtm                        1/1     Running            0                4h28m
          openfaas-fn            figlet-54db496f88-957xl                     1/1     Running            0                18h
          openfaas-fn            hello-openfaas-547857b9d6-z277c             0/1     ImagePullBackOff   0                127m
          openfaas-fn            hello-openfaas-7b6946b4f9-hcvq4             0/1     ImagePullBackOff   0                165m
          openfaas-fn            hello-openfaas2-7c67488865-qmrkl            0/1     ImagePullBackOff   0                13m
          openfaas-fn            hello-openfaas3-65847b8b67-b94kd            0/1     ImagePullBackOff   0                97m
          openfaas-fn            hello-python-554b464498-zxcdv               0/1     ErrImagePull       0                3h23m
          openfaas-fn            hello-python-8698bc68bd-62gh9               0/1     ImagePullBackOff   0                3h25m
          

          from https://docs.openfaas.com/reference/yaml/, I know I put the imagePullPolicy in the wrong place, there is no such keyword in its schema.

          I also tried eval $(minikube docker-env and still get the same error.


          I've a feeling that faas-cli deploy can be replace by helm, they all mean to run the image(whether from remote or local) in Kubernetes cluster, then I can use helm chart to setup the pullPolicy there. Even though the detail is not still clear to me, This discovery inspires me.


          So far, after eval $(minikube docker-env)

          $ docker images
          REPOSITORY                                TAG        IMAGE ID       CREATED             SIZE
          wm/hello-openfaas2                        0.1        03c21bd96d5e   About an hour ago   65.2MB
          python                                    3-alpine   69fba17b9bae   12 days ago         48.6MB
          ghcr.io/openfaas/figlet                   latest     ca5eef0de441   2 weeks ago         14.8MB
          ghcr.io/openfaas/alpine                   latest     35f3d4be6bb8   2 weeks ago         14.2MB
          ghcr.io/openfaas/faas-netes               0.14.2     524b510505ec   3 weeks ago         77.3MB
          k8s.gcr.io/kube-apiserver                 v1.23.3    f40be0088a83   7 weeks ago         135MB
          k8s.gcr.io/kube-controller-manager        v1.23.3    b07520cd7ab7   7 weeks ago         125MB
          k8s.gcr.io/kube-scheduler                 v1.23.3    99a3486be4f2   7 weeks ago         53.5MB
          k8s.gcr.io/kube-proxy                     v1.23.3    9b7cc9982109   7 weeks ago         112MB
          ghcr.io/openfaas/gateway                  0.21.3     ab4851262cd1   7 weeks ago         30.6MB
          ghcr.io/openfaas/basic-auth               0.21.3     16e7168a17a3   7 weeks ago         14.3MB
          k8s.gcr.io/etcd                           3.5.1-0    25f8c7f3da61   4 months ago        293MB
          ghcr.io/openfaas/classic-watchdog         0.2.0      6f97aa96da81   4 months ago        8.18MB
          k8s.gcr.io/coredns/coredns                v1.8.6     a4ca41631cc7   5 months ago        46.8MB
          k8s.gcr.io/pause                          3.6        6270bb605e12   6 months ago        683kB
          ghcr.io/openfaas/queue-worker             0.12.2     56e7216201bc   7 months ago        7.97MB
          kubernetesui/dashboard                    v2.3.1     e1482a24335a   9 months ago        220MB
          kubernetesui/metrics-scraper              v1.0.7     7801cfc6d5c0   9 months ago        34.4MB
          nats-streaming                            0.22.0     12f2d32e0c9a   9 months ago        19.8MB
          gcr.io/k8s-minikube/storage-provisioner   v5         6e38f40d628d   11 months ago       31.5MB
          functions/markdown-render                 latest     93b5da182216   2 years ago         24.6MB
          functions/hubstats                        latest     01affa91e9e4   2 years ago         29.3MB
          functions/nodeinfo                        latest     2fe8a87bf79c   2 years ago         71.4MB
          functions/alpine                          latest     46c6f6d74471   2 years ago         21.5MB
          prom/prometheus                           v2.11.0    b97ed892eb23   2 years ago         126MB
          prom/alertmanager                         v0.18.0    ce3c87f17369   2 years ago         51.9MB
          alexellis2/openfaas-colorization          0.4.1      d36b67b1b5c1   2 years ago         1.84GB
          rorpage/text-to-speech                    latest     5dc20810eb54   2 years ago         86.9MB
          stefanprodan/faas-grafana                 4.6.3      2a4bd9caea50   4 years ago         284MB
          
          $ kubectl get pods --all-namespaces
          NAMESPACE              NAME                                        READY   STATUS             RESTARTS        AGE
          kube-system            coredns-64897985d-kp7vf                     1/1     Running            0               6d
          kube-system            etcd-minikube                               1/1     Running            0               6d
          kube-system            kube-apiserver-minikube                     1/1     Running            0               6d
          kube-system            kube-controller-manager-minikube            1/1     Running            0               6d
          kube-system            kube-proxy-5m8lr                            1/1     Running            0               6d
          kube-system            kube-scheduler-minikube                     1/1     Running            0               6d
          kube-system            storage-provisioner                         1/1     Running            1 (6d ago)      6d
          kubernetes-dashboard   dashboard-metrics-scraper-58549894f-97tsv   1/1     Running            0               5d7h
          kubernetes-dashboard   kubernetes-dashboard-ccd587f44-lkwcx        1/1     Running            0               5d7h
          openfaas-fn            base64-6bdbcdb64c-djz8f                     1/1     Running            0               5d1h
          openfaas-fn            colorise-85c74c686b-2fz66                   1/1     Running            0               4d5h
          openfaas-fn            echoit-5d7df6684c-k6ljn                     1/1     Running            0               5d1h
          openfaas-fn            env-6c79f7b946-bzbtm                        1/1     Running            0               4d5h
          openfaas-fn            figlet-54db496f88-957xl                     1/1     Running            0               4d19h
          openfaas-fn            hello-openfaas-547857b9d6-z277c             0/1     ImagePullBackOff   0               4d3h
          openfaas-fn            hello-openfaas-7b6946b4f9-hcvq4             0/1     ImagePullBackOff   0               4d3h
          openfaas-fn            hello-openfaas2-5c6f6cb5d9-24hkz            0/1     ImagePullBackOff   0               9m22s
          openfaas-fn            hello-openfaas2-8957bb47b-7cgjg             0/1     ImagePullBackOff   0               2d22h
          openfaas-fn            hello-openfaas3-65847b8b67-b94kd            0/1     ImagePullBackOff   0               4d2h
          openfaas-fn            hello-python-6d6976845f-cwsln               0/1     ImagePullBackOff   0               3d19h
          openfaas-fn            hello-python-b577cb8dc-64wf5                0/1     ImagePullBackOff   0               3d9h
          openfaas-fn            hubstats-b6cd4dccc-z8tvl                    1/1     Running            0               5d1h
          openfaas-fn            markdown-68f69f47c8-w5m47                   1/1     Running            0               5d1h
          openfaas-fn            nodeinfo-d48cbbfcc-hfj79                    1/1     Running            0               5d1h
          openfaas-fn            openfaas2-fun                               1/1     Running            0               15s
          openfaas-fn            text-to-speech-74ffcdfd7-997t4              0/1     CrashLoopBackOff   2235 (3s ago)   4d5h
          openfaas-fn            wordcount-6489865566-cvfzr                  1/1     Running            0               5d1h
          openfaas               alertmanager-88449c789-fq2rg                1/1     Running            0               3d1h
          openfaas               basic-auth-plugin-75fd7d69c5-zw4jh          1/1     Running            0               3d2h
          openfaas               gateway-5c4bb7c5d7-n8h27                    2/2     Running            0               3d2h
          openfaas               grafana                                     1/1     Running            0               4d8h
          openfaas               nats-647b476664-hkr7p                       1/1     Running            0               3d2h
          openfaas               prometheus-687648749f-tl8jp                 1/1     Running            0               3d1h
          openfaas               queue-worker-7777ffd7f6-htx6t               1/1     Running            0               3d2h
          
          
          $ kubectl get -o yaml -n openfaas-fn deploy/hello-openfaas2
          apiVersion: apps/v1
          kind: Deployment
          metadata:
            annotations:
              deployment.kubernetes.io/revision: "6"
              prometheus.io.scrape: "false"
            creationTimestamp: "2022-03-17T12:47:35Z"
            generation: 6
            labels:
              faas_function: hello-openfaas2
            name: hello-openfaas2
            namespace: openfaas-fn
            resourceVersion: "400833"
            uid: 9c4e9d26-23af-4f93-8538-4e2d96f0d7e0
          spec:
            progressDeadlineSeconds: 600
            replicas: 1
            revisionHistoryLimit: 10
            selector:
              matchLabels:
                faas_function: hello-openfaas2
            strategy:
              rollingUpdate:
                maxSurge: 1
                maxUnavailable: 0
              type: RollingUpdate
            template:
              metadata:
                annotations:
                  prometheus.io.scrape: "false"
                creationTimestamp: null
                labels:
                  faas_function: hello-openfaas2
                  uid: "969512830"
                name: hello-openfaas2
              spec:
                containers:
                - env:
                  - name: fprocess
                    value: python3 index.py
                  image: wm/hello-openfaas2:0.1
                  imagePullPolicy: Always
                  livenessProbe:
                    failureThreshold: 3
                    httpGet:
                      path: /_/health
                      port: 8080
                      scheme: HTTP
                    initialDelaySeconds: 2
                    periodSeconds: 2
                    successThreshold: 1
                    timeoutSeconds: 1
                  name: hello-openfaas2
                  ports:
                  - containerPort: 8080
                    name: http
                    protocol: TCP
                  readinessProbe:
                    failureThreshold: 3
                    httpGet:
                      path: /_/health
                      port: 8080
                      scheme: HTTP
                    initialDelaySeconds: 2
                    periodSeconds: 2
                    successThreshold: 1
                    timeoutSeconds: 1
                  resources: {}
                  securityContext:
                    allowPrivilegeEscalation: false
                    readOnlyRootFilesystem: false
                  terminationMessagePath: /dev/termination-log
                  terminationMessagePolicy: File
                dnsPolicy: ClusterFirst
                enableServiceLinks: false
                restartPolicy: Always
                schedulerName: default-scheduler
                securityContext: {}
                terminationGracePeriodSeconds: 30
          status:
            conditions:
            - lastTransitionTime: "2022-03-17T12:47:35Z"
              lastUpdateTime: "2022-03-17T12:47:35Z"
              message: Deployment does not have minimum availability.
              reason: MinimumReplicasUnavailable
              status: "False"
              type: Available
            - lastTransitionTime: "2022-03-20T12:16:56Z"
              lastUpdateTime: "2022-03-20T12:16:56Z"
              message: ReplicaSet "hello-openfaas2-5d6c7c7fb4" has timed out progressing.
              reason: ProgressDeadlineExceeded
              status: "False"
              type: Progressing
            observedGeneration: 6
            replicas: 2
            unavailableReplicas: 2
            updatedReplicas: 1
          

          In one shell,

          docker@minikube:~$ docker run  --name wm -ti wm/hello-openfaas2:0.1
          2022/03/20 13:04:52 Version: 0.2.0  SHA: 56bf6aac54deb3863a690f5fc03a2a38e7d9e6ef
          2022/03/20 13:04:52 Timeouts: read: 5s write: 5s hard: 0s health: 5s.
          2022/03/20 13:04:52 Listening on port: 8080
          ...
          
          

          and another shell

          docker@minikube:~$ docker ps | grep wm
          d7796286641c   wm/hello-openfaas2:0.1             "fwatchdog"              3 minutes ago       Up 3 minutes (healthy)   8080/tcp   wm
          

          ANSWER

          Answered 2022-Mar-16 at 08:10

          If your image has a latest tag, the Pod's ImagePullPolicy will be automatically set to Always. Each time the pod is created, Kubernetes tries to pull the newest image.

          Try not tagging the image as latest or manually setting the Pod's ImagePullPolicy to Never. If you're using static manifest to create a Pod, the setting will be like the following:

          containers:
            - name: test-container
              image: testImage:latest
              imagePullPolicy: Never
          

          Source https://stackoverflow.com/questions/71493306

          Community Discussions, Code Snippets contain sources that include Stack Exchange Network

          Vulnerabilities

          No vulnerabilities reported

          Install speech

          You can download it from GitHub.
          You can use speech like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the speech component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

          Support

          For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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