Update app.py

app.py

@@ -11,7 +11,6 @@ css = """
 font-family: 'JetBrains Mono', monospace !important;
 }
 
-
 body {
 background-color: #111;
 color: #e0e0e0;
@@ -35,78 +34,77 @@ 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  
-    yield final_answer.strip()
+    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
+        yield final_answer.strip()
 
 demo = gr.ChatInterface(
-fn=respond,
-title="λambdAI",
-theme=gr.themes.Base(),
-css=css,
-additional_inputs=[
-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")
-]
+    fn=respond,
+    title="λambdAI",
+    theme=gr.themes.Base(),
+    css=css,
+    additional_inputs=[
+        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":
-demo.launch()
+if __name__ == "__main__":
+    demo.launch()