Update app.py

app.py

@@ -41,6 +41,50 @@ except Exception as e:
     print(f"ERRO ao inicializar o cliente Groq: {e}.")
 
 
+# --- NOVA ROTA PARA LISTAR MODELOS DINAMICAMENTE ---
+@app.route('/list-models')
+def list_models():
+    available_models = []
+    # CORREÇÃO: Lista de modelos Groq para geração de texto foi atualizada.
+    groq_text_models = [
+        "llama-3.1-8b-instant", 
+        "llama-3.3-70b-versatile", 
+        "openai/gpt-oss-120b",
+        "openai/gpt-oss-20b"
+    ]
+
+    try:
+        # Busca modelos Gemini
+        if genai_client:
+            for m in genai_client.list_models():
+                if 'generateContent' in m.supported_generation_methods:
+                    model_name = m.name.replace("models/", "")
+                    if "flash" in model_name or "pro" in model_name:
+                         available_models.append({
+                            "value": f"gemini:{model_name}",
+                            "name": m.display_name
+                        })
+
+        # Adiciona modelos Groq
+        if groq_client:
+            for model_id in groq_text_models:
+                 display_name = model_id.split('/')[-1].replace('-instant', '').replace('-versatile', '')
+                 available_models.append({
+                    "value": f"groq:{model_id}",
+                    "name": f"Groq: {display_name}"
+                })
+                
+    except Exception as e:
+        print(f"Erro ao listar modelos: {e}")
+        # Retorna uma lista de fallback em caso de erro na API
+        return jsonify([
+            {"value": "gemini:gemini-2.5-flash-latest", "name": "Gemini 2.5 Flash (Fallback)"},
+            {"value": "groq:llama-3.1-8b-instant", "name": "Llama 3.1 8B (Fallback)"}
+        ])
+
+    return jsonify(available_models)
+
+
 # --- ROTAS PRINCIPAIS ---
 
 @app.route('/tts-proxy', methods=['POST'])
@@ -84,7 +128,7 @@ def explain_proxy():
             prompt = f"Analyze '{word}' in context: '{context}'. Generate a JSON for a flashcard. The 'gapped_sentence' must replace '{word}' with '______________'. You must strictly follow the JSON schema and provide valid, non-empty values for all fields."
             return jsonify(get_ai_text_response(model_provider, model_name, system_instruction_base, prompt, json_schema=schema))
         
-        else: # Quick translation logic (not currently used in UI, but kept for potential future use)
+        else:
             prompt = f"Analyze '{word}' in context: '{context}'. Provide a one-sentence English explanation, then '---', then the Portuguese translation."
             parts = get_ai_text_response(model_provider, model_name, system_instruction_base, prompt).split('---', 1)
             return jsonify({"explanation": parts[0].strip(), "translation": parts[1].strip() if len(parts) > 1 else 'N/A'})
@@ -92,7 +136,6 @@ def explain_proxy():
     except Exception as e:
         return jsonify({"error": f"AI analysis failed: {e}"}), 500
 
-# --- NOVA ROTA PARA FEEDBACK DE ATIVIDADES ---
 @app.route('/activity-feedback', methods=['POST'])
 def activity_feedback():
     data = request.get_json()
@@ -116,7 +159,6 @@ def activity_feedback():
         "Offer a corrected or improved version of their text. "
         "Structure your feedback with markdown for clarity (e.g., using ### Corrected Version)."
     )
-    
     user_prompt = f"The original task was: \"{original_prompt}\"\n\nHere is the user's response:\n---\n{user_response}\n---\nPlease provide your feedback."
 
     try:
@@ -125,7 +167,6 @@ def activity_feedback():
     except Exception as e:
         return jsonify({"error": f"AI feedback failed: {e}"}), 500
 
-
 @app.route('/analyze-image', methods=['POST'])
 def analyze_image():
     if not genai_client: return jsonify({"error": "GEMINI_API_KEY not configured."}), 503
@@ -133,7 +174,7 @@ def analyze_image():
     base64_image = data.get('image')
     model_value = data.get('model', 'gemini:gemini-2.5-flash-latest')
     
-    model_name = 'gemini-2.5-flash-latest'
+    model_name = 'gemini-2.5-flash-latest' # Default
     if model_value.startswith('gemini:'):
         model_name = model_value.split(':', 1)[1]
 
@@ -184,6 +225,7 @@ def generate_image():
     prompt = data.get('prompt')
     if not prompt: return jsonify({"error": "Image prompt is required."}), 400
     try:
+        # Usa um modelo de imagem específico e estável
         model = genai_client.GenerativeModel(model_name='gemini-2.5-flash-image-preview')
         response = model.generate_content(prompt)
         base64_image_data = response.parts[0].inline_data.data
@@ -194,6 +236,7 @@ def generate_image():
 # --- FUNÇÃO AUXILIAR E ROTA RAIZ ---
 def get_ai_text_response(provider, model_name, system_instruction, user_prompt, json_schema=None):
     if provider == 'gemini':
+        # Usa o model_name diretamente, que agora vem da lista dinâmica
         model = genai_client.GenerativeModel(model_name, system_instruction=system_instruction)
         config = {}
         if json_schema: