Alteração modelo...

app.py

@@ -1,11 +1,67 @@
 import os
 import gradio as gr
 from huggingface_hub import InferenceClient
+from huggingface_hub.utils import HfHubHTTPError
 
-MODEL_ID = "unsloth/Qwen3-30B-A3B-GGUF"
+# Modelo Mistral Instruct disponível no Hub
+MODEL_ID = "mistralai/Mistral-7B-Instruct-v0.2"
+
+# token vindo do secret HF_TOKEN do Space (ou env local)
 token = os.environ.get("HF_TOKEN")
+
+# Cliente (se token for None, o client tenta usar config local)
 client = InferenceClient(model=MODEL_ID, token=token)
 
+def _extract_text_from_response(resp):
+    """
+    Tenta extrair texto de várias possíveis formas de retorno da API.
+    Retorna string sempre.
+    """
+    # string direta
+    if isinstance(resp, str):
+        return resp
+
+    # dataclass-like (possível)
+    try:
+        # alguns SDKs retornam objeto com atributo 'generated_text' ou 'text'
+        if hasattr(resp, "generated_text"):
+            return getattr(resp, "generated_text") or ""
+        if hasattr(resp, "text"):
+            return getattr(resp, "text") or ""
+    except Exception:
+        pass
+
+    # dict-like formas comuns
+    if isinstance(resp, dict):
+        # chaves óbvias
+        for key in ("generated_text", "generated_texts", "text", "output_text", "result"):
+            if key in resp:
+                v = resp[key]
+                if isinstance(v, list) and v:
+                    return v[0] if isinstance(v[0], str) else str(v[0])
+                if isinstance(v, str):
+                    return v
+
+        # choices -> message -> content (formato chat-like)
+        if "choices" in resp and isinstance(resp["choices"], list) and resp["choices"]:
+            first = resp["choices"][0]
+            if isinstance(first, dict):
+                # try message.content
+                if "message" in first and isinstance(first["message"], dict) and "content" in first["message"]:
+                    maybe = first["message"]["content"]
+                    if isinstance(maybe, str):
+                        return maybe
+                # try text or content directly
+                for k in ("text", "content", "generated_text"):
+                    if k in first and isinstance(first[k], str):
+                        return first[k]
+
+    # fallback
+    try:
+        return str(resp)
+    except Exception:
+        return "<unable to decode response>"
+
 def respond(
     message,
     history: list[tuple[str, str]],
@@ -14,7 +70,12 @@ def respond(
     temperature,
     top_p,
 ):
-    # Monta o prompt tipo chat manualmente
+    # valida token
+    if not token:
+        yield "ERRO: variável de ambiente HF_TOKEN não encontrada. Adicione um secret HF_TOKEN no Settings do Space."
+        return
+
+    # monta prompt estilo chat (simples)
     prompt = f"{system_message}\n\n"
     for user_msg, bot_msg in history:
         if user_msg:
@@ -23,24 +84,37 @@ def respond(
             prompt += f"Assistant: {bot_msg}\n"
     prompt += f"User: {message}\nAssistant:"
 
-    # Chama o endpoint de geração de texto normal, sem streaming
-    response = client.text_generation(
-        prompt,
-        max_new_tokens=max_tokens,
-        temperature=temperature,
-        top_p=top_p,
-    )
-    # A resposta vem como string simples
-    yield response
+    try:
+        # chamada sem streaming (resposta completa)
+        out = client.text_generation(
+            prompt,
+            max_new_tokens=int(max_tokens),
+            temperature=float(temperature),
+            top_p=float(top_p),
+            do_sample=True,
+        )
+    except HfHubHTTPError as e:
+        # captura erros HTTP da Hugging Face e retorna mensagem legível
+        yield f"ERRO na chamada de inferência: {e}\n(verifique HF_TOKEN, permissões e se o modelo está disponível via Inference API)"
+        return
+    except Exception as e:
+        yield f"Erro inesperado ao chamar a API: {e}"
+        return
+
+    # extrai texto (robusto a vários formatos de retorno)
+    text = _extract_text_from_response(out)
+    yield text
+
 
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        gr.Textbox(value="You are a helpful assistant.", label="System message"),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
+        gr.Slider(minimum=0.0, maximum=2.0, value=0.7, step=0.05, label="Temperature"),
+        gr.Slider(minimum=0.0, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
     ],
+    title="Chat com Mistral-7B",
 )
 
 if __name__ == "__main__":