Update app.py

app.py

@@ -29,7 +29,6 @@ class ChatRequest(BaseModel):
 
 def generate_chat_response(request, llm):
     try:
-        # Normalización del mensaje para manejo robusto
         user_input = normalize_input(request.message)
         response = llm.create_chat_completion(
             messages=[{"role": "user", "content": user_input}],
@@ -43,11 +42,10 @@ def generate_chat_response(request, llm):
         return {"response": f"Error: {str(e)}", "literal": user_input}
 
 def normalize_input(input_text):
-    # Implementar aquí cualquier lógica de normalización que sea necesaria
     return input_text.strip()
 
 def select_best_response(responses, request):
-    coherent_responses = filter_by_coherence([resp['response'] for resp in responses], request)
+    coherent_responses = filter_by_coherence(responses, request)
     best_response = filter_by_similarity(coherent_responses)
     return best_response
 
@@ -77,16 +75,22 @@ async def generate_chat(request: ChatRequest):
             response = future.result()
             responses.append(response)
     
+    # Verifica si alguna respuesta contiene un error y maneja el error si es necesario
     if any("Error" in response['response'] for response in responses):
         error_response = next(response for response in responses if "Error" in response['response'])
         raise HTTPException(status_code=500, detail=error_response['response'])
     
-    best_response = select_best_response([resp['response'] for resp in responses], request)
+    # Extrae las respuestas y las entradas literales
+    response_texts = [resp['response'] for resp in responses]
+    literal_inputs = [resp['literal'] for resp in responses]
+    
+    # Selecciona la mejor respuesta
+    best_response = select_best_response(response_texts, request)
     
     return {
         "best_response": best_response,
-        "all_responses": [resp['response'] for resp in responses],
-        "literal_inputs": [resp['literal'] for resp in responses]
+        "all_responses": response_texts,
+        "literal_inputs": literal_inputs
     }
 
 if __name__ == "__main__":