This is a Flask application that utilizes a chatbot to interact with YouTube video transcripts. Users can input a YouTube video URL, and the chatbot will generate responses based on the content of the video transcript.

• Fetches YouTube video transcripts using the YouTubeTranscriptApi library.
• Implements a chatbot capable of generating responses to user queries based on the provided transcript.
• Utilizes natural language processing (NLP) techniques such as tokenization, TF-IDF vectorization, and cosine similarity for generating relevant responses.
• Integrates a Generative AI model provided by Google GenAI for enhanced response generation.
• Provides a simple web interface for users to interact with the chatbot.

1. Clone the repository:

   git clone https://github.com/AdarshMishra26/TranscriptBot.git

2. Install the required dependencies:

   pip install -r requirements.txt

3. Set up the configuration:

   • Create a config.json file in the project root directory with the following structure:

   {
       "param": {
           "API_Key": "your_google_generativeai_api_key"
       }
   }

   Replace "your_google_generativeai_api_key" with your Google GenerativeAI API key.

1. Run the Flask application:

   python app.py

2. Access the application in your web browser at http://localhost:5000.

3. Enter a YouTube video URL and start chatting with the chatbot.

• For checking the working of the project you can visit at

    https://drive.google.com/file/d/1AfrwrjXphI8zMTE80i8TA-49pno2KE9O/view?usp=drivesdk

• For local development, you can run the chatbot directly from the command line using the TranscriptBot class in transcript_bot.py. Use the run_chatbot() method to interact with the chatbot via the command line.

Contributions are welcome! If you find any bugs or have suggestions for improvement, please open an issue or submit a pull request.