Update app.py

app.py

@@ -39,10 +39,11 @@ class ModelHandler:
 
     def analyze_emotion(self, input_text):
         # Analiza la emoción del texto proporcionado
-        client = InferenceClient("microsoft/xtremedistil-l6-h384-uncased", token=hf_token)
         try:
-            response = client.sentiment(input_text)
-            return response
+            client = InferenceClient("bhadresh-savani/distilbert-base-uncased-emotion", token=hf_token)
+            response = client.text_classification(input_text)
+            emotions = [f"{label['label']}: {label['score']:.2f}" for label in response]
+            return "\n".join(emotions)
         except Exception as e:
             return f"Error al analizar la emoción: {e}"
 
@@ -116,7 +117,7 @@ with gr.Blocks(title="Multi-Model LLM Chatbot with Image Generation and Emotion
                 return last_status, last_image
             elif selected_action == "Análisis de Emociones":
                 emotion_result = model_handler.analyze_emotion(user_input)
-                return f"Emoción detectada: {emotion_result}", None
+                return f"Emoción detectada:\n{emotion_result}", None
             else:
                 model_handler.switch_model(selected_action)
                 response = model_handler.generate_response(user_input)