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https://github.com/seekai-786/ai-chatbot-with-different-llms
I have created a new AI Chatbot with Hugging Face to allow users to interact with different chatbot and soon I will implement fine tuning on these models to works more efficiently on one specific domain
https://github.com/seekai-786/ai-chatbot-with-different-llms
Last synced: 29 days ago
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I have created a new AI Chatbot with Hugging Face to allow users to interact with different chatbot and soon I will implement fine tuning on these models to works more efficiently on one specific domain
- Host: GitHub
- URL: https://github.com/seekai-786/ai-chatbot-with-different-llms
- Owner: SeekAI-786
- License: apache-2.0
- Created: 2024-12-02T06:43:59.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-12-02T08:11:14.000Z (about 1 month ago)
- Last Synced: 2024-12-02T09:20:28.332Z (about 1 month ago)
- Language: Python
- Size: 23.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# AI Chat Interface with Hugging Face & Gemini Models
This project provides an interactive web application built with **Streamlit**, allowing users to chat with various AI models, including those hosted on Hugging Face and Google's Gemini. It features a user-friendly interface, supports multiple AI models, and maintains a conversation history with the option to download prompts and responses.
---
## 🚀 Features
- **Model Selection**: Choose from a range of AI models, including Hugging Face-hosted models and Gemini.
- **Dynamic Response Generation**: Send prompts to selected models and receive AI-generated responses.
- **Conversation History**: Maintain a log of all conversations within a session.
- **Download Capability**: Download individual prompts and responses as `.txt` files.
- **Responsive UI**: A clean and intuitive interface for seamless interaction.
- **Error Handling**: Handles API request errors gracefully, providing user-friendly error messages.
---
## 🛠️ Tech Stack
- **Frontend**: Streamlit
- **APIs**:
- Hugging Face Inference API
- Gemini Model API
- **Languages**: Python
- **Dependencies**:
- `streamlit`
- `huggingface_hub`
- `requests`
---
## 📦 Installation
### 1. Clone the Repository
```bash
git clone https://github.com/yourusername/ai-chat-interface.git
cd ai-chat-interface
```
### 2. Set Up a Virtual Environment
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
### 3. Install Dependencies
```bash
pip install -r requirements.txt
```
### 4. Set Up API Keys
- Create a `.env` file in the root directory and add your API keys:
```
HF_API_KEY=
GEMINI_API_KEY=
```
---
## ▶️ Usage
### 1. Run the Application
```bash
streamlit run app.py
```
### 2. Interact with the App
- **Select a Model**: Use the sidebar to choose your desired AI model.
- **Enter a Query**: Type your prompt into the input box and click "Generate Response."
- **View Responses**: Generated responses are displayed alongside the prompts.
- **Download Logs**: Save individual prompts and responses using the download buttons.
---
## 🎨 App Design
### Light Theme
- White background with light gray accents for text areas and containers.
- Clear contrast between components for a professional look.
---
## 📖 API Information
### Hugging Face Inference API
- Used for querying various Hugging Face-hosted AI models.
- Requires a valid Hugging Face API key.
### Gemini API
- Integrated with the Gemini language model for AI content generation.
- Requires a valid Gemini API key.
---
## 🛡️ Error Handling
- Checks for empty inputs or API errors.
- Displays informative messages to guide users when something goes wrong.
---
---
## 🔧 Future Enhancements
- Add support for additional AI models.
- Implement Fine Tuning For Custom Dataset.
- Provide advanced settings for customizing API parameters.
---
## 🤝 Contributing
Contributions are welcome! Feel free to submit a pull request or raise issues for improvements.
---
## 📜 License
This project is licensed under the MIT License. See the `LICENSE` file for details.
---
## 👤 Author
**Your Name**
- [GitHub](https://github.com/yourusername)
- [LinkedIn](https://linkedin.com/in/yourlinkedin)
---