No streaming quick demo

app.py

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+from transformers import pipeline, TextIteratorStreamer
+import torch
+from threading import Thread
+import gradio as gr
+import spaces
+
+model_id = "openai/gpt-oss-20b"
+
+pipe = pipeline(
+    "text-generation",
+    model=model_id,
+    torch_dtype="auto",
+    device_map="auto",
+)
+
+def format_conversation_history(chat_history):
+    messages = []
+    for item in chat_history:
+        role = item["role"]
+        content = item["content"]
+        if isinstance(content, list):
+            content = content[0]["text"] if content and "text" in content[0] else str(content)
+        messages.append({"role": role, "content": content})
+    return messages
+
+@spaces.GPU(duration=120)
+def generate_response(input_data, chat_history, max_new_tokens, system_prompt, temperature, top_p, top_k, repetition_penalty):
+    new_message = {"role": "user", "content": input_data}
+    system_message = [{"role": "system", "content": system_prompt}] if system_prompt else []
+    processed_history = format_conversation_history(chat_history)
+    messages = system_message + processed_history + [new_message]
+    
+    streamer = TextIteratorStreamer(pipe.tokenizer, skip_prompt=True, skip_special_tokens=True)
+    generation_kwargs = {
+        "streamer": streamer,
+        "max_new_tokens": max_new_tokens,
+        "do_sample": True,
+        "temperature": temperature,
+        "top_p": top_p,
+        "top_k": top_k,
+        "repetition_penalty": repetition_penalty
+    }
+    thread = Thread(target=pipe, args=(messages,), kwargs=generation_kwargs)
+    thread.start()
+    outputs = []
+    for text_chunk in streamer:
+        outputs.append(text_chunk)
+    yield "".join(outputs)
+
+demo = gr.ChatInterface(
+    fn=generate_response,
+    additional_inputs=[
+        gr.Slider(label="Max new tokens", minimum=64, maximum=4096, step=1, value=1024),
+        gr.Textbox(
+            label="System Prompt",
+            value="You are a helpful assistant. Reasoning: medium",
+            lines=4,
+            placeholder="Change system prompt"
+        ),
+        gr.Slider(label="Temperature", minimum=0.1, maximum=2.0, step=0.1, value=0.7),
+        gr.Slider(label="Top-p", minimum=0.05, maximum=1.0, step=0.05, value=0.9),
+        gr.Slider(label="Top-k", minimum=1, maximum=100, step=1, value=50),
+        gr.Slider(label="Repetition Penalty", minimum=1.0, maximum=2.0, step=0.05, value=1.0)
+    ],
+    examples=[
+        [{"text": "What are the benefits of open weight AI models"}],
+        [{"text": "Write a Python function to calculate the Fibonacci sequence"}],
+        [{"text": "Explain Newton laws clearly and concisely."}],
+    ],
+    cache_examples=False,
+    type="messages",
+    description="""
+# gpt-oss-20b
+You can adjust reasoning level in the system prompt like "Reasoning: high".
+    """,
+    fill_height=True,
+    textbox=gr.Textbox(
+        label="Query Input",
+        placeholder="Type your prompt"
+    ),
+    stop_btn="Stop Generation",
+    multimodal=False,
+    theme=gr.themes.Soft()
+)
+
+if __name__ == "__main__":
+    demo.launch(share=True)