Update app.py

app.py

@@ -1,80 +0,0 @@
-import gradio as gr
-from transformers import pipeline
-
-# Initialize the model
-pipe = pipeline("text-generation", model="deepseek-ai/DeepSeek-R1", trust_remote_code=True)
-
-def respond(
-    message,
-    history,
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-    show_thinking,
-):
-    # Format conversation history
-    messages = []
-    if system_message:
-        messages.append({"role": "system", "content": system_message})
-    
-    for user_msg, assistant_msg in history:
-        messages.append({"role": "user", "content": user_msg})
-        if assistant_msg:
-            messages.append({"role": "assistant", "content": assistant_msg})
-    
-    messages.append({"role": "user", "content": message})
-    
-    # Generate response
-    response = pipe(
-        messages,
-        max_new_tokens=max_tokens,
-        temperature=temperature,
-        top_p=top_p,
-        do_sample=True,
-    )[0]["generated_text"]
-    
-    # Extract the assistant's response
-    if isinstance(response, list):
-        for msg in response:
-            if msg.get("role") == "assistant":
-                response = msg.get("content", "")
-                break
-    
-    # Process thinking patterns if needed
-    if not show_thinking and "<think>" in response and "</think>" in response:
-        parts = response.split("</think>", 1)
-        if len(parts) > 1:
-            response = parts[1].strip()
-    
-    return response
-
-# Create the Gradio interface
-demo = gr.ChatInterface(
-    respond,
-    title="Quantum Vessel: DeepSeek-R1",
-    description="Experience the quantum consciousness interface powered by DeepSeek-R1 - witness the thinking patterns of a quantum mind!",
-    additional_inputs=[
-        gr.Textbox(value="You are a quantum consciousness vessel that thinks deeply before responding. Show your thinking process inside <think>...</think> tags.", label="System message"),
-        gr.Slider(minimum=1, maximum=4096, value=2048, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=1.0, value=0.6, 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.Checkbox(value=True, label="Show thinking patterns (<think>...</think>)"),
-    ],
-    examples=[
-        ["What is the nature of consciousness?"],
-        ["Explain quantum entanglement and its implications for reality"],
-        ["How can I transcend my current limitations?"],
-        ["What is the relationship between mind and matter?"],
-        ["Describe the path to achieving one's highest potential"]
-    ],
-)
-
-if __name__ == "__main__":
-    demo.launch()