https://github.com/subhayudutta/talk2websites
Talk2Websites is a sophisticated AI-powered chatbot designed to provide comprehensive and insightful responses by accessing and interpreting information from the website link given by user.
https://github.com/subhayudutta/talk2websites
beautifulsoup faiss-vector-database gemini-api langchain streamlit
Last synced: 11 days ago
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Talk2Websites is a sophisticated AI-powered chatbot designed to provide comprehensive and insightful responses by accessing and interpreting information from the website link given by user.
- Host: GitHub
- URL: https://github.com/subhayudutta/talk2websites
- Owner: subhayudutta
- License: gpl-3.0
- Created: 2024-06-26T07:25:40.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-27T06:28:57.000Z (almost 2 years ago)
- Last Synced: 2025-03-17T01:02:39.349Z (about 1 year ago)
- Topics: beautifulsoup, faiss-vector-database, gemini-api, langchain, streamlit
- Language: Python
- Homepage: https://talk2websites-lfjzq4aifwsj5aujvcycog.streamlit.app/
- Size: 171 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Talk2Websites
Talk2Websites is a sophisticated AI-powered chatbot designed to provide comprehensive and insightful responses by accessing and interpreting information from the website link given by user.
Visit the live app: [Talk2Websites](https://talk2websites-lfjzq4aifwsj5aujvcycog.streamlit.app/)
## Features
- Chat with an AI-powered virtual assistant.
- Supports multiple GEMINI models: gemini-1.5, gemini-1.5-pro, gemini-1.0-pro, and gemini-1.5-flash.
- Adjustable temperature setting to control response randomness.
- User-friendly interface built with Streamlit.
## Technologies Used:
- LangChain
- Streamlit
- Google Generative AI
- Faiss
- Beautiful Soup
## Installation:
1. Clone the repository: `git clone https://github.com/subhayudutta/Talk2Websites.git`
2. Navigate to the project directory: `cd Talk2Websites`
3. Install dependencies: `pip install -r requirements.txt`
## Usage:
1. Run the Streamlit app: `streamlit run app.py`
2. Access the app in your browser at `http://localhost:8501`
## Usage:
1. Open the app in your browser.
2. Enter your Gemini API key if you have one.
3. Adjust the temperature setting using the sidebar slider.
4. Select the desired GEMINI model from the dropdown menu.
5. Start chatting!
## Example:
Enter a message in the chat box and the website link and receive a response from the AI assistant based on the selected model and settings.
## Configure the following settings in the sidebar:
1. Gemini API Key: Enter your Gemini API key for AI model access.
2. Temperature: Adjust the temperature slider for response generation.
3. Model Selection: Choose the appropriate AI model for data analysis.
## Contribution:
Contributions are welcome! Feel free to open an issue or submit a pull request.
## License:
This project is licensed under the [GPL-3.0 license](LICENSE).
Feel free to customize the README according to your project's specifics!