Update app.py

app.py

@@ -1,92 +1,87 @@
 import gradio as gr
-from datetime import datetime
+import pandas as pd
 
-with gr.Blocks(theme=gr.themes.Soft(primary_hue="emerald"), title="CropSeek-LLM") as demo:
-    # ----------------------
-    # Enhanced Header
-    # ----------------------
+def get_crop_recommendation(soil_type, climate, history):
+    # Replace with your actual model inference logic
+    recommendations = {
+        "soil": soil_type,
+        "climate": climate,
+        "recommended_crops": ["Pepper", "Tomato", "Chilli"],
+        "confidence": [0.85, 0.76, 0.68]
+    }
+    return pd.DataFrame(recommendations)
+
+def analyze_conditions(query, history):
+    # Condition analysis handler (connect to your LLM)
+    response = f"🌱 CropAI Analysis: Optimal cultivation patterns suggest {get_crop_recommendation('Loam', 'Tropical', '').iloc[0]['recommended_crops'][0]} for these conditions."
+    return response
+
+with gr.Blocks(theme=gr.themes.Soft(), title="CropSeek-LLM") as demo:
     gr.HTML("""
-    <div style="text-align:center; background: linear-gradient(to right, #2c5f2d, #97bc62); padding: 20px; border-radius: 10px; box-shadow: 0 4px 6px rgba(0,0,0,0.1);">
+    <div style="text-align:center"; background: linear-gradient(to right, #2c5f2d, #97bc62); padding: 20px; border-radius: 10px; box-shadow: 0 4px 6px rgba(0,0,0,0.1);">
         <img src="https://huggingface.co/spaces/DARJYO/CropSeek-LLM/resolve/main/assets/logo.png" 
              style="height:80px; margin-bottom:20px;">
-     </div>
+    </div>
     """)
-
-    # ----------------------
-    # Main Analysis Interface
-    # ----------------------
+    
+    gr.Markdown("### 🌾 Agricultural Intelligence System")
+    
     with gr.Tab("🌱 Field Analysis Console"):
         with gr.Row():
             with gr.Column(scale=2):
                 analysis_log = gr.Chatbot(
                     label="Crop Diagnosis History",
                     avatar_images=("🧑🌾", "🤖"),
-                    height=450,
-                    show_label=True,
-                    container=True
+                    height=400
                 )
-                
             with gr.Column(scale=1):
-                gr.Markdown("### 🌦️ Environmental Parameters")
                 field_input = gr.Textbox(
-                    label="Describe Conditions:",
-                    placeholder="e.g. 'Clay soil in tropical climate with 1200mm rainfall...'",
-                    lines=3
-                )
-                
-                gr.Examples(
-                    examples=[
-                        ["Sandy loam soil with temperate climate and irrigation access"],
-                        ["Arid region with limited water resources and alkaline soil"],
-                        ["Volcanic soil in subtropical highland climate"]
-                    ],
-                    inputs=field_input,
-                    label="💡 Try Example Scenarios:"
+                    label="Describe Soil & Climate Conditions:",
+                    placeholder="e.g. 'Clay soil in tropical climate with moderate rainfall...'"
                 )
-
-    # ----------------------
-    # Data Visualization Interface
-    # ----------------------
-    with gr.Tab("📈 Yield Optimization"):
+                analyze_btn = gr.Button("🌦️ Analyze Agricultural Patterns", variant="primary")
+        
+        analyze_btn.click(
+            analyze_conditions, 
+            [field_input, analysis_log], 
+            [field_input, analysis_log]
+        )
+    
+    with gr.Tab("📈 Yield Optimization Advisor"):
         with gr.Row():
             soil_dd = gr.Dropdown(
-                ["Loamy", "Clay", "Sandy", "Volcanic", "Peaty"],
+                ["Loamy", "Clay", "Sandy"], 
                 label="Soil Composition",
-                info="USDA soil classification"
+                info="Select predominant soil type"
             )
             climate_dd = gr.Dropdown(
-                ["Tropical", "Temperate", "Arid", "Mediterranean", "Continental"],
+                ["Tropical", "Temperate", "Arid"], 
                 label="Climate Profile",
-                info="Köppen climate classification"
+                info="Select regional climate pattern"
             )
+        farm_data = gr.File(
+            label="Upload Field Sensor Data (CSV)",
+            file_types=[".csv"]
+        )
+        simulate_btn = gr.Button("🚜 Generate Cultivation Plan", variant="primary")
+        results = gr.Dataframe(
+            headers=["Parameter", "Value", "Recommendation"],
+            interactive=False,
+            wrap=True,
+            datatype=["str", "number", "str"]
+        )
         
-        with gr.Row():
-            gr.Markdown("### Cultivation Plan Preview")
-            results = gr.DataFrame(
-                value={
-                    "Parameter": ["Soil Type", "Climate", "Top Crop"],
-                    "Value": ["Loamy", "Tropical", "Pepper"],
-                    "Recommendation": ["Ideal for roots", "Optimal temp range", "High market demand"]
-                },
-                headers=["Parameter", "Value", "Recommendation"],
-                interactive=False,
-                wrap=True
-            )
+        simulate_btn.click(
+            fn=get_crop_recommendation,
+            inputs=[soil_dd, climate_dd, farm_data],
+            outputs=results
+        )
 
-    # ----------------------
-    # Footer & Status
-    # ----------------------
-    gr.Markdown("---")
-    with gr.Row():
-        gr.Markdown(f"**Last Updated:** {datetime.now().strftime('%Y-%m-%d %H:%M')}")
-        gr.Markdown("**System Status:** 🟢 Operational")
-        gr.Markdown("**Version:** 2.1.0")
-        
-    gr.Markdown("""
+   gr.Markdown("""
     <div style="text-align: center; padding: 15px; background-color: #f8f9fa; border-radius: 8px; margin-top: 20px;">
         <small>© 2025 DARJYO/CropSeek-LLM</small>
     </div>
     """)
 
-if __name__ == "__main__":
-    demo.launch()
+
+demo.launch()