added gradio based interface for the application

app.py

@@ -0,0 +1,155 @@
+#gradio app
+
+import gradio as gr
+import json
+from Agent import create_environmental_analyzer
+
+def analyze_environmental_impact(product_description):
+    """Main analysis function that processes input and returns formatted results"""
+    
+    if not product_description.strip():
+        return "Please enter a product description to analyze.", "", "", ""
+    
+    # Initialize the analyzer
+    analyzer = create_environmental_analyzer()
+    
+    # Run the analysis
+    initial_state = {
+        "messages": [],
+        "product_description": product_description,
+        "extracted_data": {},
+        "carbon_footprint": 0.0,
+        "environmental_score": 0.0,
+        "recommendations": [],
+        "analysis_complete": False
+    }
+    
+    # Process through the workflow
+    final_state = analyzer.invoke(initial_state)
+    
+    # Format results for display
+    score_display, status_message, details_json, recommendations_text = format_results(final_state)
+    
+    return score_display, status_message, details_json, recommendations_text
+
+def format_results(state):
+    """Format the analysis results for Gradio display"""
+    
+    # Environmental Score Display
+    score = state['environmental_score']
+    carbon = state['carbon_footprint']
+    
+    score_display = f"""
+    ## Environmental Impact Score
+    
+    **Score: {score}/100**
+    
+    **Carbon Footprint: {carbon:.2f} kg CO2e**
+    """
+    
+    # Status Message based on score
+    if score >= 80:
+        status_message = "🌟 **Excellent environmental performance!**\n\nThis product demonstrates outstanding sustainability practices."
+    elif score >= 60:
+        status_message = "⚡ **Good, but room for improvement**\n\nThis product has decent environmental performance with potential for enhancement."
+    else:
+        status_message = "🚨 **High environmental impact**\n\nThis product has significant environmental concerns that should be addressed."
+    
+    # Analysis Details as JSON
+    details_json = state['extracted_data']
+    
+    # Recommendations as formatted text
+    recommendations_text = "## Sustainability Recommendations\n\n"
+    if state['recommendations']:
+        for i, rec in enumerate(state['recommendations'], 1):
+            recommendations_text += f"{i}. {rec}\n\n"
+    else:
+        recommendations_text += "No specific recommendations available."
+    
+    return score_display, status_message, details_json, recommendations_text
+
+def create_gradio_interface():
+    """Create the Gradio interface"""
+    
+    with gr.Blocks(
+        title="🌱 AI Environmental Impact Analyzer",
+        theme=gr.themes.Soft()
+    ) as interface:
+        
+        # Header
+        gr.Markdown("# 🌱 AI Environmental Impact Analyzer")
+        gr.Markdown("Analyze the environmental footprint of consumer products using AI")
+        
+        with gr.Row():
+            with gr.Column(scale=2):
+                # Input section
+                product_input = gr.Textbox(
+                    label="Product Description",
+                    placeholder="e.g., Organic cotton t-shirt manufactured in India, packaged in recyclable materials...",
+                    lines=4,
+                    max_lines=8
+                )
+                
+                analyze_btn = gr.Button(
+                    "🔍 Analyze Environmental Impact",
+                    variant="primary",
+                    size="lg"
+                )
+            
+            with gr.Column(scale=3):
+                # Results section
+                with gr.Group():
+                    score_output = gr.Markdown(
+                        label="Environmental Score",
+                        value="Enter a product description and click analyze to see results."
+                    )
+                    
+                    status_output = gr.Markdown(
+                        label="Performance Status"
+                    )
+        
+        # Detailed results in tabs
+        with gr.Tabs():
+            with gr.Tab("📊 Analysis Details"):
+                details_output = gr.JSON(
+                    label="Extracted Environmental Data",
+                    value={}
+                )
+            
+            with gr.Tab("💡 Recommendations"):
+                recommendations_output = gr.Markdown(
+                    label="Sustainability Recommendations",
+                    value="Analysis results will appear here..."
+                )
+        
+        # Event handlers
+        analyze_btn.click(
+            fn=analyze_environmental_impact,
+            inputs=[product_input],
+            outputs=[score_output, status_output, details_output, recommendations_output],
+            show_progress=True
+        )
+        
+        # Optional: Add examples
+        gr.Examples(
+            examples=[
+                ["Organic cotton t-shirt manufactured in India, packaged in recyclable cardboard"],
+                ["Plastic water bottle made from recycled materials, shipped internationally"],
+                ["Local handmade wooden furniture using sustainable forest wood"],
+                ["Electronic smartphone with aluminum body, manufactured in China"]
+            ],
+            inputs=[product_input],
+            label="Example Products to Analyze"
+        )
+    
+    return interface
+
+def main():
+    """Launch the Gradio application"""
+    interface = create_gradio_interface()
+    
+    # Launch with custom settings
+    interface.launch()
+
+if __name__ == "__main__":
+    main()