AlphaChat is a chatbot with a GUI and console interface for real-time conversations, Q&A management, and AI-driven features like voice interaction, image generation, and PDF Summarization.
Admin.Features.Demo.mp4
- Console App for Testing: A straightforward console-based chatbot for feature testing.
- Customizable Q&A Content: Import questions and answers via CSV files. Edit and manage questions/answers using CLI arguments.
- Basic Functionalities: Handles compound and variant questions. Suggests questions based on keywords.
- Logging and Debugging: File-based logging with configurable levels (
INFO,WARNING). Unit testing to isolate and debug potential issues. - Web Management Interface: Centralized web page with actionable elements such as viewing, editing, deleting and searching Q&A lists. Accessing app logs and user activity.
User.Features.Demo.1.mp4
- Interactive Chatbot: Welcoming messages and opening questions. Handles CLI arguments to skip initial prompts.
- Trivia Game: Built-in trivia game with multiple-choice questions. Displays progress indicators and ✅/❌ symbols for answers.
- Weather Integration: Provides weather conditions for specific locations or events.
- Error Handling: Gracefully handles crashes with detailed logs and chat history.
User.Feature.Demo.2.mp4
- Audio Assistance: Users can interact with the chatbot using voice commands. Processes spoken input and provides appropriate responses.
- Image Generation: Generates images based on user-provided text prompts. Leverages an AI-based image generation model.
- Web Scraping: Extracts data from online sources based on user queries. Collects structured data for analysis or display.
- Web Search: Enables users to search the web directly from the chatbot. Fetches results using an external search engine API.
- PDF Summarization: Processes and summarizes the content of PDF documents. Extracts key insights for quick understanding.
- LED Matrix Symbols: Displays app status, trivia progress, and results.
- Gesture & Sensor Support: Potential support for Raspberry Pi motion and environmental sensors.
- System Administrator: Manages system settings and Q&A.
- User (Students): Interacts with the chatbot to play games, request weather updates and ask questions.
- Chatbot System: Processes user interactions, handles questions and manages system logs.
- Service Providers (Admin): Ideal for testing chatbot features and enhancing user experience. Easily manage and expand the chatbot's knowledge base.
- End Users (Staff, Student): Engaging tool for Q&A, trivia, and real-time updates. Simple and efficient web-based interaction.
- Educational Use: Interactive learning and knowledge testing with trivia features. Saves time and effort.
- Console-based chatbot app.
- Supports CLI arguments for advanced functionality.
- CSV import/export for managing Q&A content.
- Raspberry Pi Sense HAT integration for enhanced UX.
- Centralized web interface for comprehensive management.
- Audio assistance for voice interaction.
- AI-powered image generation.
- Web scraping and integrated search functionality.
- Web searching for real-time information retrieval.
- PDF summarization for quick document insights.
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Unzip / Clone the File: Extract the contents of the downloaded file.
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Set Up APIs:
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OpenWeatherAPI: (Weather Forecast) Sign up at OpenWeatherAPI to get an API key.
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Hugging Face: (Image Generation) Register at Hugging Face and obtain your API token.
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ChatGroq: (PDF Summarization) Access the ChatGroq API at ChatGroq.
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Tavily: (Web Search) Register at Tavily to get access to their APIs.
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Install Dependencies: Run the command: pip install -e . (Do not forget the . at the end.)
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Run the Project (Console): Execute the command: myproject
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Run the User Interface (Web): Navigate to the src directory and run the following command in the terminal: cd src python index.py
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Run the Admin Dashboard (Web): Navigate to the src directory and run the following command in the terminal: cd src python dashboard.py
- Python 3.x
- Raspberry Pi with Sense HAT (for LED matrix features) (optional)
- CSV files for importing questions and answers (optional)
Developed by Darshan Shah. Connect with me:
- LinkedIn: Darshan Shah
- Facebook: DarshanScripts
- GitHub: DarshanScripts
- Quora: Darshan Shah
- Medium: DarshanScripts
- Fiverr: DarshanScripts