Image Analysis API with FastAPI and OpenAI

Description

This is a FastAPI application that allows users to upload an image file and receive a response from OpenAI's GPT-4 model describing the contents of the image. This is a FastAPI application that allows users to upload an image file and receive a response from OpenAI's GPT-4 model describing the contents of the image. The file-uploader folder contains a react application which you can build and run locally along with the main.py which happens to be the server.

cd file-uploader
npm install
npm start

Endpoints

GET /

Returns a simple "Hello World" message to test the API.

POST /uploadfile/

Accepts an image file upload and returns a response from OpenAI's GPT-4 model describing the contents of the image.

Environment Variables

• OPENAI_API_KEY: Your OpenAI API key, loaded from a .env file.

Dependencies

• FastAPI
• OpenAI
• dotenv
• cors

Usage

1. Create a .env file with your OpenAI API key: OPENAI_API_KEY=your_api_key_here
2. Run the application with uvicorn main:app --reload or fastapi dev main.py
3. Use a tool like curl or a web browser to upload an image file to the /uploadfile/ endpoint

Example Request

curl -X POST -F "file=@/path/to/image.jpg" http://localhost:8000/uploadfile/