Update app.py

app.py

@@ -1,48 +1,51 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
-
+from typing import List, Dict
 
 def respond(
-    message,
-    history: list[dict[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
+    message: str,
+    history: List[Dict[str, str]],
+    system_message: str,
+    max_tokens: int,
+    temperature: float,
+    top_p: float,
     hf_token: gr.OAuthToken,
 ):
     """
-    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
+    Para mais informações sobre o Inference API:
+    https://huggingface.co/docs/huggingface_hub/guides/inference
     """
-    #client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
-     client = InferenceClient(token=hf_token.token, model="apple/FastVLM-7B")
-    messages = [{"role": "system", "content": system_message}]
+    # Inicializa cliente de inferência
+    client = InferenceClient(
+        token=hf_token.token,
+        model="apple/FastVLM-7B"
+    )
 
+    # Prepara mensagens
+    messages = [{"role": "system", "content": system_message}]
     messages.extend(history)
-
     messages.append({"role": "user", "content": message})
 
     response = ""
 
-    for message in client.chat_completion(
-        messages,
+    # Stream de tokens
+    for chunk in client.chat_completion(
+        messages=messages,
         max_tokens=max_tokens,
         stream=True,
         temperature=temperature,
         top_p=top_p,
     ):
-        choices = message.choices
+        choices = chunk.choices
         token = ""
-        if len(choices) and choices[0].delta.content:
+        if len(choices) and choices[0].delta and choices[0].delta.content:
             token = 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 do chatbot
 chatbot = gr.ChatInterface(
     respond,
     type="messages",
@@ -50,21 +53,16 @@ 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 (nucleus sampling)"),
     ],
 )
 
+# Monta layout com Sidebar
 with gr.Blocks() as demo:
     with gr.Sidebar():
         gr.LoginButton()
     chatbot.render()
 
-
 if __name__ == "__main__":
     demo.launch()
+