Update app.py

app.py

@@ -15,7 +15,22 @@ class EnhancedOceanClimateAgent:
         self.anomaly_threshold = 2.0
         self.critical_temp_change = 1.5
         
-        # API endpoints
+        # API endpoints* Running on local URL:  http://0.0.0.0:7860, with SSR ⚡ (experimental, to disable set `ssr_mode=False` in `launch()`)
+* To create a public link, set `share=True` in `launch()`.
+Traceback (most recent call last):
+  File "/usr/local/lib/python3.10/site-packages/gradio/queueing.py", line 626, in process_events
+    response = await route_utils.call_process_api(
+  File "/usr/local/lib/python3.10/site-packages/gradio/route_utils.py", line 322, in call_process_api
+    output = await app.get_blocks().process_api(
+  File "/usr/local/lib/python3.10/site-packages/gradio/blocks.py", line 2230, in process_api
+    data = await self.postprocess_data(block_fn, result["prediction"], state)
+  File "/usr/local/lib/python3.10/site-packages/gradio/blocks.py", line 2012, in postprocess_data
+    prediction_value = block.postprocess(prediction_value)
+  File "/usr/local/lib/python3.10/site-packages/gradio/components/file.py", line 227, in postprocess
+    size=Path(value).stat().st_size,
+  File "/usr/local/lib/python3.10/pathlib.py", line 1097, in stat
+    return self._accessor.stat(self, follow_symlinks=follow_symlinks)
+ 
         self.noaa_base_url = "https://api.tidesandcurrents.noaa.gov/api/prod/datagetter"
         self.noaa_stations_url = "https://api.tidesandcurrents.noaa.gov/mdapi/prod/webapi/stations.json"
         
@@ -191,7 +206,7 @@ class EnhancedOceanClimateAgent:
             analysis['water_level_trend'] = wl_trend * 24  # per day
             
             if abs(wl_trend * 24) > 5:  # >5cm per day change
-                alerts.append(f"🟡 Significant water level change: {wl_trend*24:.1f}cm/day at {station_name}")
+                alerts.append(f"Significant water level change: {wl_trend*24:.1f}cm/day at {station_name}")
         
         # Temperature analysis
         if 'water_temp' in data.columns:
@@ -199,7 +214,7 @@ class EnhancedOceanClimateAgent:
             analysis['water_temp_trend'] = temp_trend * 24  # per day
             
             if temp_trend * 24 > 0.5:  # >0.5°C per day
-                alerts.append(f"🔴 Rapid water temperature rise: {temp_trend*24:.2f}°C/day at {station_name}")
+                alerts.append(f"Rapid water temperature rise: {temp_trend*24:.2f}°C/day at {station_name}")
         
         # Anomaly detection
         for col in ['water_level', 'water_temp', 'wind_speed']:
@@ -209,7 +224,7 @@ class EnhancedOceanClimateAgent:
                 analysis[f'{col}_anomaly_frequency'] = anomaly_pct
                 
                 if anomaly_pct > 10:
-                    alerts.append(f"🟡 High {col.replace('_', ' ')} anomaly frequency: {anomaly_pct:.1f}% at {station_name}")
+                    alerts.append(f"High {col.replace('_', ' ')} anomaly frequency: {anomaly_pct:.1f}% at {station_name}")
         
         if not alerts:
             alerts.append(f"✅ No significant anomalies detected at {station_name}")
@@ -229,20 +244,20 @@ def analyze_real_ocean_data(station_name, days_back, anomaly_sensitivity, use_re
         raw_data, status_msg = agent.get_comprehensive_station_data(station_name, days_back)
         
         if raw_data is None:
-            return None, None, None, f"❌ Error: {status_msg}", "No alerts - data unavailable", None
+            return None, None, None, f"Error: {status_msg}", "No alerts - data unavailable", None
         
         # Process the data
         data = agent.process_noaa_data(raw_data)
         
         if data is None or data.empty:
-            return None, None, None, "❌ No processable data available", "No alerts - data unavailable", None
+            return None, None, None, "No processable data available", "No alerts - data unavailable", None
         
-        data_source = f"📡 Real NOAA data from {station_name} ({status_msg})"
+        data_source = f"Real NOAA data from {station_name} ({status_msg})"
         
     else:
         # Use synthetic data for demonstration
         data = generate_synthetic_data(days_back)
-        data_source = f"🔬 Synthetic demonstration data ({days_back} days)"
+        data_source = f"Synthetic demonstration data ({days_back} days)"
     
     # Generate analysis and alerts
     analysis, alerts = agent.generate_climate_analysis(data, station_name)
@@ -257,9 +272,19 @@ def analyze_real_ocean_data(station_name, days_back, anomaly_sensitivity, use_re
     alerts_text = "\n".join([f"- {alert}" for alert in alerts])
     
     # Create CSV for download
-    csv_data = data.to_csv(index=False) if data is not None else ""
+    import tempfile
+
+    #Create CSV
+    def save_csv_temp(data):
+        tmp = tempfile.NamedTemporaryFile(delete=False, suffix=".csv", mode='w', newline='', encoding='utf-8')
+        data.to_csv(tmp.name, index=False)
+        tmp.close()
+        return tmp.name
+
     
-    return fig1, fig2, fig3, analysis_text, alerts_text, csv_data
+    csv_file_path = save_csv_temp(data)
+    return fig1, fig2, fig3, analysis_text, alerts_text, csv_file_path
+
 
 def generate_synthetic_data(days):
     """Generate synthetic data for demonstration"""
@@ -407,9 +432,9 @@ def format_analysis_results(analysis, data_source):
     return result
 
 # Create Gradio interface
-with gr.Blocks(title="🌊 Enhanced Ocean Climate Monitoring AI Agent", theme=gr.themes.Ocean()) as demo:
+with gr.Blocks(title="Enhanced Ocean Climate Monitoring AI Agent", theme=gr.themes.Ocean()) as demo:
     gr.Markdown("""
-    # 🌊 Enhanced Ocean Climate Monitoring AI Agent
+    # Enhanced Ocean Climate Monitoring AI Agent
     ### Real-time Analysis with NOAA Data Integration
     
     This enhanced AI agent can fetch real ocean data from NOAA stations or use synthetic data for demonstration.
@@ -443,7 +468,7 @@ with gr.Blocks(title="🌊 Enhanced Ocean Climate Monitoring AI Agent", theme=gr
                 value=True,
                 info="Uncheck to use synthetic data"
             )
-            analyze_btn = gr.Button("🔍 Analyze Ocean Data", variant="primary")
+            analyze_btn = gr.Button("Analyze Ocean Data", variant="primary")
         
         with gr.Column(scale=2):
             gr.Markdown("### Climate Alerts")