Update app.py

app.py

@@ -11,6 +11,7 @@ css = """
 font-family: 'JetBrains Mono', monospace !important;
 }
 
+
 body {
 background-color: #111;
 color: #e0e0e0;
@@ -36,61 +37,61 @@ animation: pulse 1.5s infinite ease-in-out;
 def respond(message, history, system_message, max_tokens, temperature, top_p):
     messages = [{"role": "system", "content": system_message}] if system_message else []
 
-    for user, assistant in history:
-        if user:
-            messages.append({"role": "user", "content": user})
-        if assistant:
-            messages.append({"role": "assistant", "content": assistant})
-
-    thinking_prompt = messages + [{
-        "role": "user",
-        "content": f"{message}\n\nThink a bit step-by-step before answering."
-    }]
-
-    reasoning = ""
-    yield '<div class="markdown-think">Thinking...</div>'
-
-    start = time.time()
-
-    for chunk in client.chat_completion(
-        thinking_prompt,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = chunk.choices[0].delta.content or ""
-        reasoning += token
-        styled_thought = f'<div class="markdown-think">{reasoning.strip()}</div>'
-        yield styled_thought
-
-    elapsed = time.time() - start
-
-    yield f"""
-    <div style="margin-top:12px;padding:8px 12px;background-color:#222;border-left:4px solid #888;
-                font-family:'JetBrains Mono', monospace;color:#ccc;font-size:14px;">
-        Pensou por {elapsed:.1f} segundos
-    </div>
-    """
-
-    time.sleep(2)
-
-    final_prompt = messages + [
-        {"role": "user", "content": message},
-        {"role": "assistant", "content": reasoning.strip()},
-        {"role": "user", "content": "Now answer based on your reasoning above."}
-    ]
-
-    final_answer = ""
-    for chunk in client.chat_completion(
-        final_prompt,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = chunk.choices[0].delta.content or ""
-        final_answer += token
+    for user, assistant in history:  
+        if user:  
+            messages.append({"role": "user", "content": user})  
+        if assistant:  
+            messages.append({"role": "assistant", "content": assistant})  
+
+    thinking_prompt = messages + [{  
+        "role": "user",  
+        "content": f"{message}\n\nThink a bit step-by-step before answering."  
+    }]  
+
+    reasoning = ""  
+    yield '<div class="markdown-think">Thinking...</div>'  
+
+    start = time.time()  
+
+    for chunk in client.chat_completion(  
+        thinking_prompt,  
+        max_tokens=max_tokens,  
+        stream=True,  
+        temperature=temperature,  
+        top_p=top_p,  
+    ):  
+        token = chunk.choices[0].delta.content or ""  
+        reasoning += token  
+        styled_thought = f'<div class="markdown-think">{reasoning.strip()}</div>'  
+        yield styled_thought  
+
+    elapsed = time.time() - start  
+
+    yield f"""  
+<div style="margin-top:12px;padding:8px 12px;background-color:#222;border-left:4px solid #888;  
+            font-family:'JetBrains Mono', monospace;color:#ccc;font-size:14px;">  
+    Pensou por {elapsed:.1f} segundos  
+</div>  
+"""  
+
+    time.sleep(2)  
+
+    final_prompt = messages + [  
+        {"role": "user", "content": message},  
+        {"role": "assistant", "content": reasoning.strip()},  
+        {"role": "user", "content": "Now answer based on your reasoning above."}  
+    ]  
+
+    final_answer = ""  
+    for chunk in client.chat_completion(  
+        final_prompt,  
+        max_tokens=max_tokens,  
+        stream=True,  
+        temperature=temperature,  
+        top_p=top_p,  
+    ):  
+        token = chunk.choices[0].delta.content or ""  
+        final_answer += token  
         yield final_answer.strip()
 
 demo = gr.ChatInterface(
@@ -99,12 +100,13 @@ demo = gr.ChatInterface(
     theme=gr.themes.Base(),
     css=css,
     additional_inputs=[
-        gr.Textbox(value="", label="System Message"),
+        gr.Textbox(value="",
+        label="System Message"),
         gr.Slider(64, 2048, value=512, step=1, label="Max Tokens"),
         gr.Slider(0.1, 2.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Top-p")
     ]
 )
 
-if __name__ == "__main__":
+if name == "main":
     demo.launch()