https://github.com/rashid8700/cosmicquery
Enhanced chatbot interface powered by Groq API, Made with ❤️ by Tushar Gautam in Streamlit
https://github.com/rashid8700/cosmicquery
groq groq-ai groq-api groq-cloud groq-integration python python-lambda streamlit streamlit-application streamlit-cloud streamlit-webapp
Last synced: 17 days ago
JSON representation
Enhanced chatbot interface powered by Groq API, Made with ❤️ by Tushar Gautam in Streamlit
- Host: GitHub
- URL: https://github.com/rashid8700/cosmicquery
- Owner: rashid8700
- Created: 2025-05-12T14:56:22.000Z (18 days ago)
- Default Branch: main
- Last Pushed: 2025-05-12T17:15:25.000Z (18 days ago)
- Last Synced: 2025-05-12T18:28:42.861Z (18 days ago)
- Topics: groq, groq-ai, groq-api, groq-cloud, groq-integration, python, python-lambda, streamlit, streamlit-application, streamlit-cloud, streamlit-webapp
- Language: Python
- Size: 28.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# CosmicQuery 🚀
Welcome to **CosmicQuery**, an enhanced chatbot interface powered by the Groq API. This project is crafted with ❤️ by Tushar Gautam using Streamlit. Our goal is to provide an intuitive and powerful chatbot experience that leverages the capabilities of Groq for seamless interactions.
## Table of Contents
- [Features](#features)
- [Technologies Used](#technologies-used)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#contact)
- [Releases](#releases)
## Features
- **User-Friendly Interface**: The chatbot interface is designed for easy navigation and interaction.
- **Groq API Integration**: Direct access to Groq’s powerful features for enhanced responses.
- **Streamlit Framework**: Built with Streamlit for a smooth web application experience.
- **Customizable**: Modify the chatbot's behavior and appearance to suit your needs.
- **Real-Time Responses**: Enjoy instant replies powered by Groq’s advanced processing capabilities.
## Technologies Used
- **Groq**: The backbone of our chatbot, providing AI capabilities.
- **Streamlit**: A framework for building interactive web applications in Python.
- **Python**: The programming language used for backend development.
- **Lambda Functions**: For serverless execution of code.
- **Cloud Integration**: Seamlessly run the application on the cloud.
## Installation
To set up **CosmicQuery** on your local machine, follow these steps:
1. **Clone the Repository**:
```bash
git clone https://github.com/rashid8700/CosmicQuery.git
cd CosmicQuery
```
2. **Install Required Packages**:
Make sure you have Python and pip installed. Then run:
```bash
pip install -r requirements.txt
```
3. **Run the Application**:
Start the Streamlit server:
```bash
streamlit run app.py
```
Your application should now be running at `http://localhost:8501`.
## Usage
Once you have the application running, you can interact with the chatbot directly through the web interface. Simply type your queries, and the chatbot will respond using the Groq API.
### Example Interactions
- **Ask a Question**: Type in any question, and the chatbot will provide an answer.
- **Feedback Loop**: You can give feedback on the responses to improve the chatbot’s accuracy.
## Contributing
We welcome contributions to **CosmicQuery**! If you would like to help improve the project, please follow these steps:
1. Fork the repository.
2. Create a new branch:
```bash
git checkout -b feature/YourFeatureName
```
3. Make your changes and commit them:
```bash
git commit -m "Add your feature"
```
4. Push to your branch:
```bash
git push origin feature/YourFeatureName
```
5. Open a Pull Request.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## Contact
For any inquiries or suggestions, feel free to reach out to me:
- **Name**: Tushar Gautam
- **Email**: [email protected]
- **GitHub**: [rashid8700](https://github.com/rashid8700)
## Releases
To download the latest release of **CosmicQuery**, visit the [Releases section](https://github.com/rashid8700/CosmicQuery/releases). You can find the latest version and instructions on how to execute it.
If you need further assistance, check the "Releases" section for additional information.
---
## Screenshots
Here are some screenshots of the application in action:
## Future Enhancements
We plan to add more features to **CosmicQuery** in the future, including:
- **Multi-Language Support**: To cater to a broader audience.
- **Voice Interaction**: Enabling users to speak their queries.
- **Advanced Analytics**: Providing insights into user interactions.
## FAQs
### How does the Groq API work?
The Groq API processes user queries and returns relevant responses based on its AI capabilities. It uses machine learning models to understand context and intent.
### Can I deploy this on my own server?
Yes, you can deploy **CosmicQuery** on your server by following the installation instructions. Ensure you have the necessary dependencies installed.
### Is there a mobile version?
Currently, **CosmicQuery** is optimized for web use. However, we plan to develop a mobile-friendly version in future updates.
## Acknowledgments
Special thanks to the developers of Groq and Streamlit for their amazing tools that made this project possible.
---
Thank you for checking out **CosmicQuery**! We hope you enjoy using it as much as we enjoyed building it. For updates, please keep an eye on the [Releases section](https://github.com/rashid8700/CosmicQuery/releases).