DataStreaming with LangChain & FastAPI
Learn how to use data streaming with LangChain and FastAPI. Includes a demonstration of streaming on its own and integrating it with FastAPI in the front end.
00:00:00 Learn how to use data streaming with LangChain and FastAPI. Includes a demonstration of streaming on its own and integrating it with FastAPI in the front end.
👋 This video demonstrates how to use data streaming with openai Lang chain and fast API.
💻 The process involves importing classes, loading the openai API key, and creating an instance of chat open Ai.
📝 By using the chat function, users can make requests and receive responses from the model.
00:01:19 This video demonstrates data streaming with LangChain and FastAPI. It shows how to generate text token by token and implement streaming with FastAPI.
🎵 Streaming allows for generating text token by token instead of waiting for the whole text to be created.
💻 FastAPI provides a basic endpoint for streaming with OpenAI, utilizing classes like AsyncIteratorCallbackHandler.
🔑 API key is loaded and app instance is created in FastAPI.
00:02:39 Create an async function in FastAPI to record a message, instantiate a chat model, and use async IO to generate content asynchronously.
📚 Adding course middleware and creating a pedantic class.
⚙️ Creating an async function for recording messages and setting up streaming.
🔧 Using async IO to generate content and utilizing the Callback Handler.
00:03:58 Create a post endpoint in LangChain & FastAPI for streaming data with a message input. Use uvr-corn web server on Port 6677.
🔑 The video explains the process of data streaming using LangChain and FastAPI.
⚙️ The process involves looping over tokens and checking if there are any more tokens to return.
📡 The video also demonstrates how to create a post endpoint for sending messages and using a generator in combination with streaming response.
00:05:20 Learn how to stream data in an application using LangChain & FastAPI. Use request library to send a message in correct format and loop over the chunks to see the response.
🔍 Using the Swagger UI to view the application, but it doesn't work with streaming responses.
💻 Explaining how to use the request library to stream responses and loop over the data.
🌐 Briefly mentioning the structure of the index.html file for website integration.
00:06:41 Creating a message button that triggers a post request to localhost with a text input field value and updates the DOM for each token.
Creating a message and button that triggers a post request with the value from a text input field.
Using the get reader functionality and text decoder to display and decode tokens.
Checking if a token is a stop symbol and updating the DOM accordingly.
00:07:59 This video demonstrates data streaming using LangChain & FastAPI. It showcases the use of a framework for handling streaming and provides a simple front end for testing. Subscribe and like if you enjoyed!
🔑 Using a framework can handle data streaming more efficiently.
💻 Changing the port to match the API and testing the front end.
📺 Streaming data and creating new lines for improved display.
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