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https://github.com/bniladridas/geekle-aibot
Generate intelligent, context-aware responses in real-time.
https://github.com/bniladridas/geekle-aibot
backend flask frontend huggingface python transformer
Last synced: about 1 month ago
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Generate intelligent, context-aware responses in real-time.
- Host: GitHub
- URL: https://github.com/bniladridas/geekle-aibot
- Owner: bniladridas
- License: mit
- Created: 2024-06-26T14:18:36.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-09-09T06:42:16.000Z (4 months ago)
- Last Synced: 2024-10-20T05:40:51.701Z (2 months ago)
- Topics: backend, flask, frontend, huggingface, python, transformer
- Language: HTML
- Homepage:
- Size: 52.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# ✨ Banking Interface – A Premium AI-Powered Chat Experience ✨
Experience the future of AI-powered banking with a sleek, intuitive web interface built using **Flask** and **Transformers**. Interact with cutting-edge AI in real-time, enjoy a beautifully designed chat interface, and toggle between light and dark modes with ease. Designed for clarity, performance, and reliability, this interface ensures a smooth user experience.
## 🔥 Key Features
- 💬 **Interactive Chat**: Engage with an AI model in a seamless, real-time conversation.
- 🌙 **Dark Mode**: Switch between light and dark themes effortlessly for a customizable experience.
- 🚀 **Robust Error Handling**: Experience smoother interactions with enhanced error recovery mechanisms.
- 🖥️ **Sleek Design**: A clean, modern interface built for clarity and ease of use.
## 📸 Visual Highlights
_Hackathon Visuals_
## 💻 Technical Breakdown
### 🧠 Backend
- **Framework**: Flask, a powerful yet lightweight Python framework.
- **AI Model**: Leveraging the **Transformers** library for intelligent, context-aware responses.
- **API Endpoint**: Send and receive user inputs at the `/ask` endpoint, delivering fast and accurate AI responses.
### 🎨 Frontend
- **Technologies**: Built with HTML, CSS, and JavaScript (including jQuery).
- **Design**: Responsive chat interface, optimized for both desktop and mobile.
- **Dark Mode**: One-click toggle between light and dark themes for better user experience.
## 🚀 Project Roadmap
1. **Project Setup**
- Install necessary libraries: Flask, transformers.
- Initialize a Flask application.
2. **Create Routes**
- Define a home route to render the main page.
- Define an `/ask` route to handle POST requests for generating responses.
3. **Implement Text Generation**
- Use Hugging Face's `pipeline` for text generation.
- Process user input and generate a response using the text generation model.
4. **Error Handling**
- Implement error handling to manage exceptions during text generation.
5. **Testing and Debugging**
- Test the application to ensure it generates appropriate responses.
- Debug any issues that arise during testing.
6. **Deployment**
- Deploy the Flask application to a web server or cloud platform.
### 🏗️ Code Architecture
- **`app.py`**: The core of the Flask application, managing AI interactions and error handling.
- **`templates/index.html`**: HTML template that brings the chat interface to life.
- **`static/style.css`**: Custom CSS for styling, including dark mode support.
- **`static/script.js`**: JavaScript to manage chat input, communication with the AI backend, and real-time updates.
## 🚀 Get Started
1. Install the dependencies:
```bash
pip install flask transformers
```
2. Launch the application:
```bash
python app.py
```
3. Visit `http://localhost:5000` in your browser.
4. Start chatting with the AI!
## 🛠️ Requirements
- **Python** 3.7 or newer
- **Flask**:
```bash
pip install flask
```
- **Transformers**:
```bash
pip install transformers
```
## 📄 License
This project is licensed under the **MIT License**. See the `LICENSE` file for more details.
## 🤝 Contribute to the Future of AI
We welcome your contributions! If you're interested in improving this interface or adding new features, feel free to submit a pull request. Together, we can make this project even better.