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https://github.com/m15kh/fastapi_ai


https://github.com/m15kh/fastapi_ai

fastapi fastapi-ai-agent-langchain-startup

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# FastAPI for AI Model Development

FastAPI is a modern, fast (high-performance) web framework for building APIs with Python. It is particularly well-suited for serving AI models due to its asynchronous capabilities and ease of use.

## Example: Connecting a Large Language Model (LLM) with FastAPI

Below is an example of how you can use FastAPI to serve an LLM model:

1. Load your AI model (e.g., an LLM) using a library like `transformers`.
2. Create FastAPI endpoints to interact with the model.
3. Deploy the FastAPI app to make the model accessible.

### Visual Representation

The following diagram illustrates the connection between FastAPI and an LLM model:


LLM Model with FastAPI Connection
Vision Generator Model with FastAPI Connection

This setup allows you to send requests to the FastAPI app, which processes the input and returns the model's response.

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## How to Run the Application

Follow these steps to run the FastAPI server and Streamlit client:

1. **Start the FastAPI Server**
Open a terminal and run the following command:
```bash
uvicorn server:app --reload

2. Start the streamlit Server
```bash
streamlit run client.py