End-To-End-Youtube-Video-Transcribe-Summarizer

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End-To-End-Youtube-Video-Transcribe-Summarizer

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End-To-End-Youtube-Video-Transcribe-Summarizer-LLM-App-With-Google-Gemini-Pro

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End To End YouTube Video Transcribe Summarizer LLM App With Google Gemini Pro
Welcome to the repository for the End To End YouTube Video Transcribe Summarizer LLM App With Google Gemini Pro. This application leverages the capabilities of Google Gemini Pro to transcribe and summarize YouTube videos, providing an efficient way to digest video content quickly and effectively.

Features
Automated Transcription: Converts spoken content from YouTube videos into text.
Summarization: Generates concise summaries of the transcribed text using advanced NLP techniques.
User-Friendly Interface: Easy-to-use web interface for uploading and managing videos.
Scalability: Built to handle large volumes of video data efficiently.
Table of Contents
Installation
Usage
Configuration
Architecture
Contributing
License
Installation
Clone the repository:

bash
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git clone https://github.com/yourusername/yt-transcribe-summarizer.git
cd yt-transcribe-summarizer
Set up the virtual environment:

bash
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python -m venv venv
source venv/bin/activate   # On Windows, use `venv\Scripts\activate`
Install the required dependencies:

bash
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pip install -r requirements.txt
Set up environment variables:
Create a .env file in the root directory and add your Google Gemini Pro API key:

makefile
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GOOGLE_GEMINI_PRO_API_KEY=your_api_key_here
Usage
Run the application:

bash
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streamlit run app.py
Upload a YouTube video:

Access the web interface at http://localhost:8501.
Upload your video by providing the YouTube URL.
Get Transcription and Summary:

The application will automatically transcribe the video.
View the generated transcript and summary on the web interface.
Configuration
Customize the application by modifying the config.py file. Key configuration options include:

TRANSCRIPTION_SERVICE_URL: URL of the transcription service.
SUMMARIZATION_MODEL: Specify the summarization model to use (default is Google Gemini Pro).
OUTPUT_DIR: Directory to save the output files.
Architecture
The application is structured as follows:

app.py: Main application file.
transcription.py: Handles the transcription process using Google Gemini Pro.
summarization.py: Summarizes the transcribed text.
config.py: Configuration settings.
requirements.txt: Lists all the dependencies.
Contributing
We welcome contributions! Please follow these steps:

Fork the repository.
Create a new branch:
bash
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git checkout -b feature-branch
Make your changes and commit them:
bash
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git commit -m 'Add some feature'
Push to the branch:
bash
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git push origin feature-branch
Create a pull request.
License
This project is licensed under the MIT License. See the LICENSE file for details.

Feel free to open an issue or contact us if you have any questions or need further assistance. Happy transcribing and summarizing!

End-To-End-Youtube-Video-Transcribe-Summarizer

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