Update app.py

app.py

@@ -3,50 +3,39 @@ from huggingface_hub import InferenceClient
 from dotenv import load_dotenv
 import os
 
-
+# carregar variáveis de ambiente
 load_dotenv()
-token=os.getenv('TOKEN')
-def respond(
-    message,
-    history: list[dict[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-    hf_token: token,
-):
-    """
-    For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-    """
-    client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
-
-    messages = [{"role": "system", "content": system_message}]
+hf_token = os.getenv("TOKEN")
 
-    messages.extend(history)
+def respond(message, history, system_message, max_tokens, temperature, top_p):
+    # criar cliente HF
+    client = InferenceClient(
+        model="lxcorp/WNL468M",
+        token=hf_token
+    )
 
+    # mensagens no formato esperado
+    messages = [{"role": "system", "content": system_message}]
+    messages.extend([{"role": "user", "content": turn[0]} for turn in history])
     messages.append({"role": "user", "content": message})
 
     response = ""
 
-    for message in client.chat_completion(
-        messages,
+    # streaming da resposta
+    for msg in client.chat_completion(
+        messages=messages,
         max_tokens=max_tokens,
         stream=True,
         temperature=temperature,
         top_p=top_p,
     ):
-        choices = message.choices
-        token = ""
-        if len(choices) and choices[0].delta.content:
-            token = choices[0].delta.content
-
-        response += token
-        yield response
+        if msg.choices and msg.choices[0].delta.get("content"):
+            token = msg.choices[0].delta["content"]
+            response += token
+            yield response
 
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# interface
 chatbot = gr.ChatInterface(
     respond,
     type="messages",
@@ -54,21 +43,15 @@ chatbot = gr.ChatInterface(
         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)",
-        ),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p"),
     ],
 )
 
+# com sidebar (opcional)
 with gr.Blocks() as demo:
     with gr.Sidebar():
-        gr.LoginButton()
+        gr.Markdown("### Hugging Face Chatbot")
     chatbot.render()
 
-
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()