extend whisp output + translate

app.py

@@ -13,6 +13,7 @@ from utils.logger import ChatLogger
 from pathlib import Path
 from huggingface_hub import CommitScheduler, HfApi
 import os 
+
 # fetch tokens from Gradio secrets
 SPACES_LOG = os.environ.get("EUDR_SPACES_LOG")
 if not SPACES_LOG:
@@ -113,12 +114,7 @@ async def chat_response(query, history, method, country, uploaded_file, request=
             history[-1] = (query, warning_message)
             yield history, ""
             return
-    # else:  # "Talk to Reports"
-    #     if not country:
-    #         warning_message = "⚠️ **No se ha seleccionado ningún país.** Seleccione un país para analizar los informes."
-    #         history[-1] = (query, warning_message)
-    #         yield history, ""
-    #         return
+ 
     
     # Handle GeoJSON upload → use cached results
     if method == "Subir GeoJson" and uploaded_file:

utils/whisp_api.py

@@ -8,7 +8,7 @@ def get_value(df, colname):
         match = df.loc[df["Column"] == colname, "Value"]
         if not match.empty:
             return match.values[0]
-    return "Not available"
+    return "No disponible"
     
 def format_whisp_statistics(df):
     """Format WhispAPI statistics into readable text for end-users"""
@@ -36,13 +36,13 @@ def format_whisp_statistics(df):
         try:
             area_num = float(area_raw)
             if area_num < 1:
-                area_text = f"{area_num:.3f} hectares"
+                area_text = f"{area_num:.3f} hectáreas"
             elif area_num < 100:
-                area_text = f"{area_num:.2f} hectares"
+                area_text = f"{area_num:.2f} hectáreas"
             else:
-                area_text = f"{area_num:,.1f} hectares"
+                area_text = f"{area_num:,.1f} hectáreas"
         except:
-            area_text = str(area_raw) if area_raw != "Not available" else "Not available"
+            area_text = str(area_raw) if area_raw != "Not available" else "No disponible"
 
         risk_level = get_value(df, "risk_level")
         risk_pcrop = get_value(df, "risk_pcrop")
@@ -53,19 +53,19 @@ def format_whisp_statistics(df):
         # Helper function to format risk levels with colors/emojis
         def format_risk(risk_val):
             if not risk_val or risk_val in ["Not available", "not available"]:
-                return "🔍 **Not Available** *(Analysis pending)*"
+                return "**No disponible**"
             elif isinstance(risk_val, str):
                 risk_lower = risk_val.lower().strip()
                 if risk_lower == "low":
-                    return "🟢 **Low Risk**"
+                    return "🟢 *riesgo bajo*"
                 elif risk_lower == "medium":
-                    return "🟡 **Medium Risk**"
+                    return "🟡 *riesgo medio*"
                 elif risk_lower == "high":
-                    return "🟠 **High Risk**"
+                    return "🟠 *riesgo alto*"
                 elif risk_lower == "very high":
-                    return "🔴 **Very High Risk**"
+                    return "🔴 *riesgo muy alto*"
                 elif risk_lower == "more_info_needed":
-                    return "📊 **Assessment Pending** *(More data needed)*"
+                    return "*❓Se necesita más información.*"
                 else:
                     return f"ℹ️ **{risk_val.title()}**"
             return str(risk_val)
@@ -73,15 +73,15 @@ def format_whisp_statistics(df):
         # Format deforestation data
         def format_deforestation(def_val):
             if not def_val or def_val in ["Not available", "not available"]:
-                return "🔍 **No Data Available**"
+                return "*No disponible*"
             try:
                 def_num = float(def_val)
                 if def_num == 0:
-                    return "✅ **No Recent Deforestation Detected**"
+                    return "* 🌳 No se detectó deforestación después de 2020.*"
                 elif def_num < 0.1:
-                    return f"⚠️ **{def_num:.3f} hectares detected**"
+                    return f"🌳 *{def_num:.3f} hectáreas de deforestación detectadas después de 2020*"
                 else:
-                    return f"⚠️ **{def_num:.2f} hectares detected**"
+                    return f" 🌳*{def_num:.2f} hectáreas de deforestación detectadas después de 2020*"
             except:
                 return f"ℹ️ **{def_val}**"
 
@@ -90,40 +90,39 @@ def format_whisp_statistics(df):
             try:
                 def_num = float(def_after_2020)
                 if def_num == 0:
-                    return "✅ **COMPLIANT** - No recent deforestation detected"
+                    return "**No se detectó deforestación después de 2020.**"
                 elif def_num > 0:
-                    return "⚠️ **REQUIRES ATTENTION** - Recent deforestation detected"
+                    return "**Deforestación reciente detectada**"
             except:
-                return "🔍 **ASSESSMENT NEEDED** - Insufficient data for compliance determination"
+                return "**Datos insuficientes para determinar el cumplimiento"
 
         deforestation_formatted = format_deforestation(def_after_2020_raw)
         compliance_status = get_compliance_status(def_after_2020_raw)
 
         output = f""" **AI-Generated Response:** \n\n
         
-🌍 **Geographic Analysis Results**  \n\n
+**Resultados del análisis geográfico**  \n\n
 
-📍 **Location Details**   
-- **Country**: {country}   \n\n
-- **Administrative Region**: {admin_level}   \n\n
-- **Total Area**: {area_text}  \n\n    
+La siguiente información ha sido generada por la [WhispAPI creada por Forest Data Partnership (FDaP)](https://openforis.org/solutions/whisp/).
 
-⚠️ **Deforestation Risk Assessment**    
-*Risk levels are based on historical patterns, environmental factors, and land use data*    \n\n
+📍 **Detalles de la ubicación**   
+- **País**: {country}   \n\n
+- **Región administrativa**: {admin_level}   \n\n
+- **Área total**: {area_text}  \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
-  *Soy, corn, rice, vegetables* \n\n 
-- **Timber Extraction**: {format_risk(risk_timber)}    \n\n
-  *Logging and wood harvesting* \n\n 
+⚠️ **Evaluación del riesgo de deforestación**    
+*Los niveles de riesgo se basan en patrones históricos, factores ambientales y datos sobre el uso del suelo. Si una zona tenía bosques saludables antes de 2020 y muestra deforestación después, se clasificará como de "alto riesgo".*    \n\n
 
-🌳 **Recent Deforestation (2020-Present):** {deforestation_formatted}     \n\n 
+**Cultivos permanentes** (Café, cacao, aceite de palma, árboles frutales):  \n\n
+- {format_risk(risk_pcrop)} \n\n
+**Cultivos anuales** (Soja, maíz, arroz, verduras):  \n\n
+- {format_risk(risk_acrop)}    \n\n
+**Extracción de madera** (Tala y recolección de madera):  \n\n
+- {format_risk(risk_timber)}    \n\n
+
+**Deforestación reciente (2020-presente):** \n\n
+- {deforestation_formatted}     \n\n 
 
-💡 **Key Insights**  
-- **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
-- **Next Steps**: {"Conduct additional due diligence if recent deforestation is detected" if "ATTENTION" in compliance_status else "Continue monitoring and maintain documentation"} \n\n 
 """
         return output
     except Exception as e: