added formattor

app.py

@@ -24,23 +24,30 @@ SAMPLE_QUESTIONS = {
     ]
 }
 
+def get_value(df, colname):
+    """Fetch value from WhispAPI-style Column/Value dataframe"""
+    if "Column" in df.columns and "Value" in df.columns:
+        match = df.loc[df["Column"] == colname, "Value"]
+        if not match.empty:
+            return match.values[0]
+    return "Not available"
 def format_whisp_statistics(df):
-    """Format WhispAPI statistics into a standardized, readable text"""
+    """Format WhispAPI statistics into readable text for end-users"""
     try:
-        # Extract required indicators from API response
-        country = df['Country'].iloc[0]
-        admin_level = df['Admin_Level_1'].iloc[0]
-        area = round(float(df['Area'].iloc[0]), 2) if 'Area' in df.columns else "Not available"
-
-        risk_level = df['risk_level'].iloc[0] if 'risk_level' in df.columns else "Not available"
-        risk_pcrop = df['risk_pcrop'].iloc[0] if 'risk_pcrop' in df.columns else "Not available"
-        risk_acrop = df['risk_acrop'].iloc[0] if 'risk_acrop' in df.columns else "Not available"
-        risk_timber = df['risk_timber'].iloc[0] if 'risk_timber' in df.columns else "Not available"
+        country = get_value(df, "Country")
+        admin_level = get_value(df, "Admin_Level_1")
+        area = get_value(df, "Area")
+        try:
+            area = round(float(area), 2)
+        except:
+            pass  # keep as string if not convertible
 
-        # TMF_def_after_2020 is a risk category, not hectares
-        def_after_2020 = df['TMF_def_after_2020'].iloc[0] if 'TMF_def_after_2020' in df.columns else "Not available"
+        risk_level = get_value(df, "risk_level")
+        risk_pcrop = get_value(df, "risk_pcrop")
+        risk_acrop = get_value(df, "risk_acrop")
+        risk_timber = get_value(df, "risk_timber")
+        def_after_2020 = get_value(df, "TMF_def_after_2020")
 
-        # Format the text output
         output = f"""📊 Analysis Results for Your Plot
 
 Plot Information:
@@ -61,40 +68,6 @@ Deforestation Analysis:
     except Exception as e:
         return f"Error formatting statistics: {str(e)}"
 
-# def format_whisp_statistics(df):
-#     """Format WhispAPI statistics into a standardized, readable text"""
-#     try:
-#         # Extract required indicators from API response
-#         country = df['Country'].iloc[0]
-#         admin_level = df['Admin_Level_1'].iloc[0]
-#         area = round(df['Area'].iloc[0], 2)
-#         risk_level = df['risk_level'].iloc[0] if 'risk_level' in df.columns else "Not available"
-#         risk_pcrop = df['risk_pcrop'].iloc[0] if 'risk_pcrop' in df.columns else "Not available"
-#         risk_acrop = df['risk_acrop'].iloc[0] if 'risk_acrop' in df.columns else "Not available"
-#         risk_timber = df['risk_timber'].iloc[0] if 'risk_timber' in df.columns else "Not available"
-#         deforestation_after_2020 = df['TMF_def_after_2020'].iloc[0] if 'TMF_def_after_2020' in df.columns else 0
-        
-#         # Format the text output
-#         output = f"""📊 Analysis Results for Your Plot
-
-# Plot Information:
-# - Country: {country}
-# - Administrative Region: {admin_level}
-# - Total Area: {area} hectares
-
-# Risk Assessment:
-# - Overall Risk Level: {risk_level}
-# - Permanent Crop Risk: {risk_pcrop}
-# - Annual Crop Risk: {risk_acrop}
-# - Timber Risk: {risk_timber}
-
-# Deforestation Analysis:
-# - Deforestation after 2020: {round(deforestation_after_2020, 2)} hectares
-# """
-#         return output
-#     except Exception as e:
-#         return f"Error formatting statistics: {str(e)}"
-
 def handle_geojson_upload(file):
     """Handle GeoJSON file upload and call WHISP API"""
     if file is not None:
@@ -139,7 +112,7 @@ def retrieve_paragraphs(query):
 
     try:        
         # Call the API with the uploaded file
-        client = Client("https://giz-eudr-retriever.hf.space/")
+        client = Client("https://giz-chatfed-retriever.hf.space/")
         result = client.predict(
                 query=query,
                 reports_filter="",