Video Uploader with Transcript and Summary Generator

This application allows users to upload a video through a Streamlit interface. Once uploaded, the backend processes the video by extracting audio, generating a transcript using OpenAI's Whisper API, and then creating a summary using OpenAI's GPT-4 model. The application is built using Streamlit for the frontend and FastAPI for the backend.

Features

• Upload a video file through the Streamlit interface.
• Generate a transcript of the audio from the video using OpenAI Whisper.
• Generate a summary of the transcript using OpenAI's GPT-4 model.
• The backend provides JSON responses with both the transcript and summary.

Getting Started

Deployment

To deploy this project run:

First install the requirements

  pip install -r requirements.txt

Add your OpenAI API key to the .env file

  OPENAI_API_KEY=your_openai_api_key

Running the Application

To start the fastapi backend:

  fastapi run app.py

To start the Streamlit:

  streamlit run streamlit.py