ScottBot is an AI-powered chatbot that simulates conversations with Scott, providing information about Scott's background, skills, and experiences. It uses a combination of natural language processing and a knowledge base derived from Scott's information to answer user queries.
- Interactive chat interface
- AI-powered responses based on Scott's background
- Drag-and-drop chat window
- Responsive design
- File upload capability for training data
- Backend: FastAPI (Python)
- Frontend: HTML, CSS, JavaScript
- AI/ML: LangChain, OpenAI GPT models
- Vector Database: FAISS
- PDF Processing: PyPDF2
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Clone the repository:
git clone https://github.com/yourusername/scottbot.git cd scottbot -
Install dependencies:
pip install -r requirements.txt -
Set up environment variables: Create a
.envfile in the root directory and add your OpenAI API key:OPENAI_API_KEY=your_api_key_here -
Run the application:
python -m uvicorn app:app --host 0.0.0.0 --port 8000 -
Open a web browser and navigate to
http://localhost:8000to use the chatbot.
You can also run ScottBot using Docker:
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Build the Docker image:
docker build -t scottbot . -
Run the Docker container:
docker run -p 8000:8000 -e OPENAI_API_KEY=your_api_key_here scottbot
- Click on the chat widget to open the chat interface.
- Type your questions about Scott in the input field and press Enter or click the send button.
- The AI will respond with relevant information based on Scott's background.
To customize ScottBot for a different individual:
- Replace the PDF file in the
upload_filesfunction with a document containing the desired person's information. - Update the profile picture and name in the
script.jsfile. - Modify the introduction message in
script.jsto reflect the new individual.
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.