Update app.py

app.py

@@ -92,24 +92,28 @@ def analyze():
 
         text = data["text"]
 
-        # Chama o modelo de emoção do Hugging Face
-        response = client.text_classification(
-            text,
-            model="pysentimiento/robertuito-emotion-analysis"
+        print(f"\n🧠 Recebido texto para análise: {text}\n")
+
+        # Chamada segura via API genérica
+        response = client.post(
+            json={"inputs": text},
+            model="pysentimiento/robertuito-emotion-analysis",
+            task="text-classification"
         )
 
-        if not response or len(response) == 0:
-            raise ValueError("Resposta vazia da API do Hugging Face")
+        print(f"📩 Resposta bruta do modelo:\n{json.dumps(response, indent=2, ensure_ascii=False)}\n")
+
+        if not isinstance(response, list) or len(response) == 0:
+            raise ValueError("Resposta inesperada da API do Hugging Face")
 
-        # Mapeia e organiza as probabilidades
+        # Processa probabilidades
         probabilities = {}
         for item in response:
-            label = item["label"]
-            score = round(float(item["score"]), 4)
+            label = item.get("label", "").lower()
+            score = round(float(item.get("score", 0.0)), 4)
             emotion_pt = map_emotion(label, score)
             probabilities[emotion_pt] = score
 
-        # Identifica a emoção dominante
         dominant_emotion = max(probabilities, key=probabilities.get)
         suggestion = get_suggestion(dominant_emotion)
 
@@ -121,7 +125,9 @@ def analyze():
             "suggestion": suggestion,
         }
 
-        # Armazena no Firestore
+        print(f"✅ Resultado final: {json.dumps(result, indent=2, ensure_ascii=False)}\n")
+
+        # Salva no Firestore
         if db:
             db.collection("emotions").add({
                 "text": text,
@@ -132,7 +138,7 @@ def analyze():
         return jsonify(result)
 
     except Exception as e:
-        print(f"❌ Erro na rota /analyze: {e}")
+        print(f"❌ Erro detalhado na rota /analyze: {e}")
         return jsonify({"error": str(e)}), 500
 
 # =============================