conversational-ai | Natural Language Processing library
kandi X-RAY | conversational-ai Summary
kandi X-RAY | conversational-ai Summary
conversational-ai
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Top functions reviewed by kandi - BETA
- Parse gin configuration files
- Parse gin config file
- Configure logging
- Interactively interactively chat a conversation
- Post - process prediction
- Predict from model_dir
- Run an image
- Generate compound conversations
- Load a chat dataset
- Runs an image
- Generate the conversations as strings
conversational-ai Key Features
conversational-ai Examples and Code Snippets
Community Discussions
Trending Discussions on conversational-ai
QUESTION
I had everything working until a few days ago. After latest update of VS, VS is not able to discover tests. I have tried updating MSTest.TestFramework, MSTest.TestAdapter, Microsoft.Net.Test.sdk nuget pacakges as well but VS studio is still not able to discover the tests.
...ANSWER
Answered 2020-Apr-24 at 04:23It was runsettings file which I had to uncheck "Run settings file" from "configure run setting" option under test menu.
QUESTION
I am trying to update the value of one of the config values in Configure(IWebJobsBuilder builder) method, it works fine when running locally but when deployed in azure function throws exception.
Exception:
...ANSWER
Answered 2019-Apr-21 at 05:52I was able to fix the issue by adding the values to the in memory provider.
Config[“”] = value statement tries to add/update the config to every config provider and I could see that ChainedConfigProvider have few providers in the chain which are not registered if they are not being used in the code. ChainedConfigProvider has different set of providers when using locally vs when used in Azure. Due to which statement fails with exception in azure.
Here is the final code:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install conversational-ai
You can use conversational-ai like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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