insight | Repository for Project Insight : NLP as a Service | Natural Language Processing library
kandi X-RAY | insight Summary
kandi X-RAY | insight Summary
Project Insight is designed to create NLP as a service with code base for both front end GUI (streamlit) and backend server (FastApi) the usage of transformers models on various downstream NLP task.
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Top functions reviewed by kandi - BETA
- Summarize the text
- Run inference on the given text
- Preprocess the text
- Tokenize text
- Computes the sentiment of an item
- Return the value corresponding to a predicate
- Infer the sentiment of the input text
- Tokenize the input text
- Convenience function for classification
- Return the value corresponding to a pred
- Infer topic class
- Tokenize input_text
- Performs named entity classification
- Preprocess the text
- Run spacy inference
- Runs an inference endpoint
- Generate dynamic element
- Get list of models
- List of static elements
insight Key Features
insight Examples and Code Snippets
Community Discussions
Trending Discussions on insight
QUESTION
I am having trouble tracking down documentation on this, so hoping someone knows as I am not able to get application insights to capture telemetry on starttrackevent and stopstrackevent across pages. This is an asp.net mvc application, so SPA is not in play here.
I am worried I may be doing something incorrectly, however the likely case is it doesn't support it.
Flow:
- user hits site for the first time
- user does action that triggers startTrackEvent("eventName");
- user navigates to a new page
- user does action that triggers stopTrackEvent("eventName");
-- from the appInsights readme https://github.com/microsoft/ApplicationInsights-JS/blob/master/README.md
appInsights.startTrackEvent("event");
appInsights.stopTrackEvent("event", null, {customProp1: "some value"});
ANSWER
Answered 2021-Jun-15 at 22:35Not per documentation, but via testing, can confirm that when a new page loads, appInsights will not persist start/stoptrackevent.
QUESTION
There are multiple development teams in an area of the organization that work closely together. Each has its own Azure DevOps board under the same Azure DevOps project. All boards inherit from the same Azure DevOps process.
One team would like to add a field to a work item type, but only show that field on their board. The field would not appear on the same work item type on the other teams' boards.
Is this possible? Microsoft has good documentation for Azure DevOps but I can't find anything that speaks to this, and I can't accomplish it myself in the UI. Thank you for any insights.
...ANSWER
Answered 2021-Jun-15 at 20:13If you add a new field to a work item type of some team project, this field will be available for all project teams.
Each team can customize the card view on each board (backlog or sprint): Add fields to cards, Customize fields
Additionally, you can use process rules to hide fields (Hide or restrict modification of a field based on a user or group) as Matt mentioned. You can find each team as a group [Team Project]\Team Name
in the conditions section.
QUESTION
I am writing a program in python to have a user input multiple websites then request and scrape those websites for their titles and output it. However, when the program surpasses 8 websites the program crashes every time. I am not sure if it is a memory problem, but I have been looking all over and can't find any one who has had the same problem. The code is below (I added 9 lists so all you have to do is copy and paste the code to see the issue).
...ANSWER
Answered 2021-Jun-15 at 19:45To avoid the page from crashing, add the user-agent
header to the headers=
parameter in requests.get()
, otherwise, the page thinks that your a bot and will block you.
QUESTION
How can I paste the data (row and column) passed by the function makeRequest
to google sheet.
I am retrieving the data from HTML storing that into an object and passing that object like this makeRequest(facebookAccountData)
.
I can use something like this below to paste data (row and column) to sheet but in my case user will define which fields he requires. So I want to make this dynamic which I am not able do so.
...ANSWER
Answered 2021-Jun-11 at 07:25In your situation, how about the following modification? I thought that when setValues
is used instead of appendRow
, the process cost will be able to be reduced a little. Ref
QUESTION
I am working on extending a Vue.js frontend application. I am currently inspecting a render function within a functional component. After looking over the docs, I had the current understanding that the render function within the functional component will return a single VNode created with CreateElement aka h. My confusion came when I saw a VNode being returned as an element in an array. I could not find any reference to this syntax in the docs. Does anyone have any insight?
...ANSWER
Answered 2021-Jun-15 at 15:37It seems this was implemented in:
https://github.com/vuejs/vue/commit/c7c13c2a156269d29fd9c9f8f6a3e53a2f2cac3d
This was a result of an issue raised in 2018 (https://github.com/vuejs/vue/issues/8056) , because this.$scopedSlots.default() returned both a VNode or an array of VNodes depending on the content.
The main argument was that this is inconsistent with how regular slots behave in render functions, and means any render function component rendering scoped slots as children needs to type check the result of invoking the slot to decide if it needs to be wrapped in an array
So Evan comments on the issue thread here, explaining that this.$scopedSlots.default would always return Arrays beginning v2.6 to allow for consistency, but to avoid breaking changes for how $scopedSlots was being used, the update would also allow return of an Array of a single VNode from render functions as well.
QUESTION
I'm using glutin
and so have a move closure for my program's main loop and I'm trying to play an audio file with the rodio
crate. With the following code everything works and I get one beep every time the program loops:
ANSWER
Answered 2021-Jun-15 at 16:27Basically, the problem at hand is that rodio::Decoder::new
consumes the value which it reads from (well, actually it is already consumed by BufReader::new
). So, if you have a loop or a closure that can be called multiple times, you have to come up with a fresh value each time. This what File::open
does in your first code snipped.
In your second code snipped, you only create a File
once, and then try to consume it multiple times, which Rust's ownership concept prevents you from doing.
Also notice, that using reference is sadly not really an option with rodio
since the decoders must be 'static
(see for instance the Sink::append
trait bound on S
).
If you think your file system is a bit slow, and you want to optimize this, then you might actually want to read the entire file up-front (which File::open
doesn't do). Doing this should also provide you with a buffer (e.g. a Vec
) that you can clone, and thus allows to repeatedly create fresh values that can be consumed by the Decoder
. Here is an example doing this:
QUESTION
In my app I want the user to mention how many columns he wants for the table and then enter the data for those columns and create a table with those values. Here is what I have:
...ANSWER
Answered 2021-Jun-15 at 15:01You can name your input-fields as an array like:
And get it with
var_dump($_POST['col_name']);
In your example you could do like this:
QUESTION
I have a numpy array of shape (120,1). The second dimension is a string of numbers for example:
...ANSWER
Answered 2021-Jun-14 at 10:15Cast a string as a list and it will give you a list of characters, then you can use list comprehension like this:
QUESTION
Starting with the sample from https://docs.gradle.org/current/samples/sample_jvm_multi_project_with_code_coverage.html (i.e., the code here https://github.com/gradle/gradle/tree/master/subprojects/docs/src/samples/java/jvm-multi-project-with-code-coverage ) and simply adding Spring Boot by changing application/build.gradle
to
ANSWER
Answered 2021-Jun-01 at 20:54Just do that and you will be fine (all external classes will be excluded):
QUESTION
I am new to AWS VPC and exploring everything about it. I understood that VPC is majorly used to have a secure and isolated environment. What are the different use cases for AWS VPC in the area of Data Analytics? I have a data lake pipeline currently which is as follows:
- Extract data using APIs
- Store raw data in S3
- Create Lambda functions or Glue Jobs to perform business metrics
- Store metric outputs in S3
- Create tables in Athena for all the data stored in S3
- Import tables in Quicksight to produce business insights from visuals
In this process how can VPC be used or make this process efficient/better?
...ANSWER
Answered 2021-Jun-15 at 07:40The services you mention (mostly) live outside of VPCs.
VPCs are used for services that use virtual computers, such as Amazon EC2 computers and Amazon RDS databases.
By using services that don't involve specific 'computers' (such as Amazon S3, Athena, QuickSight) you can take advantage of much lower costs, paying only what you use. These services do not mimic traditional servers and therefore don't need VPCs. All the networking complexity is hidden and you can concentrate on using the service instead of running a network.
Yes, VPCs add extra security, but that's only because resources on a VPC need securing due to potential security holes. The services you mention are all secured via IAM and do not expose themselves outside the published APIs.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install insight
Run the Docker Compose to spin up the Fastapi based backend service.
Run the Streamlit app with the streamlit run command.
Access to Fastapi Documentation: Since this is a microservice based design, every NLP task has its own seperate documentation.
Download the models Download the models from here Save them in the specific model folders inside the src_fastapi folder.
Running the backend service. Go to the src_fastapi folder Run the Docker Compose comnand $ cd src_fastapi src_fastapi:~$ sudo docker-compose up -d
Running the frontend app. Go to the src_streamlit folder Run the app with the streamlit run command $ cd src_streamlit src_streamlit:~$ streamlit run NLPfily.py
Access to Fastapi Documentation: Since this is a microservice based design, every NLP task has its own seperate documentation News Classification: http://localhost:8080/api/v1/classification/docs Sentiment Analysis: http://localhost:8080/api/v1/sentiment/docs NER: http://localhost:8080/api/v1/ner/docs Summarization: http://localhost:8080/api/v1/summary/docs
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