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https://github.com/raghul-m/q-a_chat_assistant
A Q-A Chat Assistant based on the FAQ
https://github.com/raghul-m/q-a_chat_assistant
faiss googlepalm langchain-python llm
Last synced: about 2 months ago
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A Q-A Chat Assistant based on the FAQ
- Host: GitHub
- URL: https://github.com/raghul-m/q-a_chat_assistant
- Owner: Raghul-M
- License: mit
- Created: 2023-12-26T14:48:35.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-01-06T09:18:30.000Z (about 1 year ago)
- Last Synced: 2024-01-06T10:27:03.661Z (about 1 year ago)
- Topics: faiss, googlepalm, langchain-python, llm
- Language: Python
- Homepage:
- Size: 273 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# QA-Chat_Assistant based on FAQ
QA-Chat Assistant is an AI chatbot using FAQ built with Python, langchain, Streamlit, FAISS Vectordb and the Google Palm API's This application allows users to engage in conversations with an artificial intelligence-powered chatbot to response the end user based on the frequently asked question.
## Getting Started
To run QA-Chat_Assistant locally, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com/Raghul-M/Q-A_Chat_Assistant.git
```
2. Navigate to the project directory:
```bash
cd Q-A-_Chat_Assistant
```
3. Install the required dependencies:
```bash
pip install -r requirements.txt
```
4. Run the Streamlit app:
```bash
streamlit run app.py
```
5. Open your web browser and visit [http://localhost:8501](http://localhost:8501) to interact with QA-Chat_Assistant locally.
## Usage
- Open the application in your web browser.
- Input your question in the chatbox to engage with the AI chatbot based on your FAQ.
- Experience dynamic responses generated by the Google Palm API's
## Contributing
If you would like to contribute to QA-Chat_Assistant, feel free to submit pull requests or open issues on the GitHub repository.
## Credits
- QA_Chat-Assistant is powered by the Google Palm API's.
- Developed with [Streamlit](https://streamlit.io/), a powerful Python framework for creating web applications.
- **[Langchain](https://langchain.ai/):** A natural language processing platform used for robust question-answering.
- **Faiss :** A library for efficient similarity search and clustering of dense vectors.
## Contributing
Contributions are welcome! If you have suggestions, bug reports, or want to add new features, feel free to submit a pull request.
Feel free to explore, contribute, and adapt this project to suit your needs. If you encounter any issues or have suggestions for improvement, please raise them in the GitHub repository's issues section. Happy coding! 🚀
Connect with me on linkedin: [Raghul M](https://www.linkedin.com/in/m-raghul/)