Update README.md

README.md

@@ -3,81 +3,8 @@ title: Production Data Analysis with AI
 emoji: 🏭
 colorFrom: blue
 colorTo: green
-sdk: streamlit
-sdk_version: 1.28.0
-app_file: app.py
+sdk: docker
+app_port: 7860
 pinned: false
 license: mit
----
-
-# Production Data Analysis Dashboard with AI Assistant
-
-A comprehensive Streamlit application for analyzing production data with integrated Google Gemini AI assistant for intelligent insights.
-
-## ✨ Features
-
-### 📊 Data Analysis
-- **Production Overview**: Total production, daily averages, and trends
-- **Material Analysis**: Breakdown by material types with detailed statistics
-- **Time Patterns**: Weekly and monthly production patterns
-- **Anomaly Detection**: Automatic detection of production outliers
-- **Interactive Visualizations**: Plotly charts for deep data exploration
-
-### 🤖 AI Assistant
-- **Intelligent Q&A**: Ask questions about your production data in natural language
-- **Quick Insights**: Pre-built questions for common analysis needs
-- **Data-Driven Recommendations**: AI-powered optimization suggestions
-- **Context-Aware**: AI understands your specific production data context
-
-## 🚀 Quick Start
-
-1. **Upload Data**: Upload your production CSV file
-2. **View Analysis**: Explore automated charts and statistics
-3. **Ask AI**: Use the AI assistant for deeper insights
-4. **Get Recommendations**: Receive optimization suggestions
-
-## 📋 Data Format
-
-Your CSV file should contain:
-- `date`: Date in MM/DD/YYYY format
-- `weight_kg`: Production weight in kilograms
-- `material_type`: Type of material (liquid, solid, waste_water, etc.)
-- `shift`: Shift number (optional)
-
-File should be tab-separated (TSV format with .csv extension).
-
-## 🔧 Setup for Development
-
-1. Clone the repository
-2. Install dependencies: `pip install -r requirements.txt`
-3. Add your Google API key to `.streamlit/secrets.toml`
-4. Run: `streamlit run app.py`
-
-## 🔑 API Configuration
-
-To enable AI features, add your Google Gemini API key:
-
-1. Get API key from [Google AI Studio](https://makersuite.google.com/app/apikey)
-2. In Hugging Face Spaces: Go to Settings → Secrets → Add `GOOGLE_API_KEY`
-3. For local development: Add to `.streamlit/secrets.toml`
-
-## 🛠️ Technology Stack
-
-- **Frontend**: Streamlit
-- **Data Processing**: Pandas, NumPy
-- **Visualizations**: Plotly
-- **AI Integration**: Google Gemini 1.5
-- **Deployment**: Hugging Face Spaces
-
-## 📈 Sample Insights
-
-The AI assistant can help you understand:
-- Production efficiency patterns
-- Material type correlations
-- Seasonal trends and anomalies
-- Optimization opportunities
-- Quality control recommendations
-
-## 🤝 Contributing
-
-Feel free to submit issues and enhancement requests!
+---