Update app.py

app.py

@@ -3,7 +3,7 @@ from huggingface_hub import InferenceClient
 
 def respond(
     message,
-    history: list[dict[str, str]],
+    history: list[list[str]],
     system_message,
     max_tokens,
     temperature,
@@ -12,11 +12,17 @@ def respond(
 ):
     client = InferenceClient(
         token=hf_token.token,
-        model="DeepHat/DeepHat-V1-7B"  # <-- Modelo correto
+        model="DeepHat/DeepHat-V1-7B"
     )
 
+    # Construção correta do histórico
     messages = [{"role": "system", "content": system_message}]
-    messages.extend(history)
+
+    for user_msg, bot_msg in history:
+        messages.append({"role": "user", "content": user_msg})
+        messages.append({"role": "assistant", "content": bot_msg})
+
+    # Adiciona a nova mensagem do usuário
     messages.append({"role": "user", "content": message})
 
     response = ""
@@ -34,30 +40,4 @@ def respond(
             token = choices[0].delta.content
 
         response += token
-        yield response
-
-
-chatbot = gr.ChatInterface(
-    respond,
-    type="messages",
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", 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)",
-        ),
-    ],
-)
-
-with gr.Blocks() as demo:
-    with gr.Sidebar():
-        gr.LoginButton()
-    chatbot.render()
-
-if __name__ == "__main__":
-    demo.launch()
+        yield response