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| title: LLM Data Analyst Agent | |
| emoji: 🤖 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: streamlit | |
| sdk_version: 1.32.0 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| # 🤖 LLM-powered Data Analyst Agent | |
| An intelligent data analysis assistant that helps you explore and understand customer support datasets using advanced language models. | |
| ## 🌟 Features | |
| - **Interactive Data Analysis**: Ask questions in natural language and get intelligent responses | |
| - **Multiple Planning Modes**: Choose between pre-planning and reactive dynamic planning | |
| - **Beautiful UI**: Modern, responsive interface with custom styling | |
| - **Real-time Conversations**: Chat-like interface for seamless interaction | |
| - **Dataset Insights**: Automatic analysis of customer support conversations | |
| ## 🚀 How to Use | |
| 1. **Ask Questions**: Type your question about the customer support data | |
| 2. **Get Insights**: The AI will analyze the data and provide detailed answers | |
| 3. **Explore Further**: Follow up with additional questions for deeper analysis | |
| ### Example Questions: | |
| - "What are the most common customer issues?" | |
| - "Show me examples of billing problems" | |
| - "What's the distribution of customer intents?" | |
| - "Summarize the main categories of support requests" | |
| ## 🛠️ Technology Stack | |
| - **Frontend**: Streamlit with custom CSS styling | |
| - **AI Model**: Nebius API (Qwen/Qwen3-30B-A3B) | |
| - **Data Processing**: Pandas for data manipulation | |
| - **Dataset**: Bitext Customer Support Dataset | |
| ## 📊 Dataset | |
| This app analyzes the [Bitext Customer Support Dataset](https://huggingface.co/datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset) which contains real customer support conversations with: | |
| - **Categories**: Different types of customer issues | |
| - **Intents**: Specific customer intentions | |
| - **Customer Messages**: Original customer inquiries | |
| - **Agent Responses**: Support agent replies | |
| ## 🔧 Configuration | |
| The app requires a Nebius API key to function. This has been configured as an environment variable for this Space. | |
| ## 💡 Tips | |
| - **Be Specific**: More specific questions often yield better insights | |
| - **Explore Different Angles**: Try both quantitative ("how many") and qualitative ("why") questions | |
| - **Use Follow-ups**: Build on previous answers for deeper analysis | |
| ## 🎯 Planning Modes | |
| - **Pre-planning**: The agent first classifies your question, then executes analysis | |
| - **Reactive Planning**: The agent dynamically decides how to approach your question | |
| Choose the mode that works best for your analysis style! | |
| --- | |
| *Built with ❤️ using Streamlit and powered by advanced language models* |