removed complaince text and added disclaimer

app.py

@@ -27,6 +27,9 @@ SAMPLE_QUESTIONS = {
     ]
 }
 
+# Spanish disclaimer text
+DISCLAIMER_TEXT = "\n\n---\n ⚠️ **Descargo de responsabilidad:** El chatbot EUDR puede cometer errores. Verifique la información importante con fuentes oficiales. \n"
+
 # Global variable to cache API results and prevent double calls
 geojson_analysis_cache = {}
 
@@ -88,10 +91,14 @@ async def chat_response(query, history, method, country, uploaded_file):
             
         except Exception as e:
             response = f"Error retrieving information: {str(e)}"
+
+    # Add disclaimer to the response
+    response_with_disclaimer = response + DISCLAIMER_TEXT
     
+
     displayed_response = ""     
     
-    for i, char in enumerate(response):         
+    for i, char in enumerate(response_with_disclaimer):         
         displayed_response += char        
         history[-1] = (query, displayed_response)         
         yield history, "**Sources:** Sample source documents would appear here..."         
@@ -100,13 +107,6 @@ async def chat_response(query, history, method, country, uploaded_file):
             await asyncio.sleep(0.02)
  
 
-    # # Stream response word by word into the chat
-    # words = response.split()
-
-    # for i in range(len(words)):
-    #     history[-1] = (query, " ".join(words[:i+1]))
-    #     yield history, "**Sources:** Sample source documents would appear here..."
-    #     await asyncio.sleep(0.05)
 
 def auto_analyze_file(file, history):
     """Automatically analyze uploaded GeoJSON file and add results to chat"""
@@ -122,11 +122,11 @@ def auto_analyze_file(file, history):
             
             # Add analysis results directly to chat (no intermediate message)
             analysis_query = "📄 Análisis del GeoJSON cargado"
-            cached_result = geojson_analysis_cache[file_key]
+            cached_result = geojson_analysis_cache[file_key] + DISCLAIMER_TEXT
             
             # Add both query and response to history
             history = history + [(analysis_query, cached_result)]
-            return history, "**Sources:** WhispAPI Analysis Results"
+            return history, "**Sources:** WhispAPI Analysis Results" 
             
         except Exception as e:
             error_msg = f"❌ Error processing GeoJSON file: {str(e)}"

utils/whisp_api.py

@@ -109,7 +109,7 @@ def format_whisp_statistics(df):
 ⚠️ **Deforestation Risk Assessment**    
 *Risk levels are based on historical patterns, environmental factors, and land use data*    \n\n
 
-- **Overall Risk**: {format_risk(risk_level)}     \n\n
+- Overall Risk**: {format_risk(risk_level)}     \n\n
 - **Permanent Crops** : {format_risk(risk_pcrop)}    \n\n
   *Coffee, cocoa, palm oil, fruit trees*     \n\n
 - **Annual Crops**: {format_risk(risk_acrop)}    \n\n
@@ -117,16 +117,11 @@ def format_whisp_statistics(df):
 - **Timber Extraction**: {format_risk(risk_timber)}    \n\n
   *Logging and wood harvesting* \n\n 
 
-🌳 **EUDR Compliance Analysis**    \n\n 
-*Based on Tropical Moist Forest satellite monitoring*     \n\n 
-
-**Recent Deforestation (2020-Present):** {deforestation_formatted}     \n\n 
-
-**EUDR Compliance Status:** {compliance_status}    \n\n 
+🌳 **Recent Deforestation (2020-Present):** {deforestation_formatted}     \n\n 
 
 ---
-💡 **Key Insights**
-\t **For Suppliers**: {compliance_status.split(' - ')[1] if ' - ' in compliance_status else 'Review compliance requirements carefully'} \n\n 
+💡 **Key Insights**  
+\t
 \t **Risk Factors**: Focus on {', '.join([t.split('*')[1].strip('*') for t in [risk_pcrop, risk_acrop, risk_timber] if 'High' in format_risk(t)])} if any high-risk activities detected \n\n 
 \t **Next Steps**: {"Conduct additional due diligence if recent deforestation is detected" if "ATTENTION" in compliance_status else "Continue monitoring and maintain documentation"} \n\n 
 """