GITHUB: github.com/ronidas39/LLMtutor...
TELEGRAM: t.me/ttyoutubediscussion
*Title: Integrating FastAPI with LangChain and OpenAI GPT-4*
Welcome back to Total Technology Zone! This is tutorial 80, where Ronnie delves into integrating FastAPI with LangChain and OpenAI's GPT-4 Omni model. Building on the previous tutorial, where we integrated external APIs, today we'll focus on integrating your own FastAPI endpoints.
Objective:
The main goal is to enable interaction with custom-developed APIs using natural language, bypassing traditional coding, client development, or tools like Postman. This is particularly useful for non-technical users within an organization who need to access API data easily.
Steps Covered:
1. *Setting Up FastAPI:*
- First, Ronnie demonstrates creating a FastAPI endpoint using VS Code. The endpoint will read from a CSV file containing ZIP code data for various US cities.
- He initializes a FastAPI app and defines a route that accepts a city name and returns the corresponding ZIP code.
2. *Creating the Endpoint:*
- Import necessary modules and read the CSV file using pandas.
- Define a route that filters the DataFrame based on the city name provided in the request.
- Return the ZIP code as a response.
3. *Testing the Endpoint:*
- Run the FastAPI server and use the interactive docs to test the endpoint with various city names.
- Ensure that the correct ZIP codes are returned for the cities.
4. *Integrating with LangChain:*
- Use the same LangChain code from the previous tutorial to integrate with the new FastAPI endpoint.
- Define the API documentation and create an API chain to interact with the endpoint.
- Test the integration by asking for ZIP codes of different cities and confirming that the responses are correct.
Key Points:
- The tutorial emphasizes the ease of interacting with APIs using natural language, making it accessible for non-technical users.
- The integration process is straightforward and builds on the previous tutorial, showcasing the flexibility of LangChain and OpenAI's models.
- Ronnie addresses common concerns about AI replacing jobs, highlighting that AI can create new opportunities and enhance existing roles.
Conclusion:
Ronnie wraps up by encouraging viewers to learn and embrace AI technologies to secure their positions and improve their skills. He announces plans for future tutorials, focusing on advanced use cases and deeper integrations.
If you enjoyed the video, don't forget to like, subscribe, and share it with your friends and family. Stay tuned for more exciting content and happy learning!
Негізгі бет FastAPI with Langchain & gpt-4o|Tutorial:80
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