Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -3,6 +3,7 @@ import torch
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from threading import Thread
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import gradio as gr
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import spaces
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model_id = "openai/gpt-oss-20b"
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@@ -32,20 +33,34 @@ def generate_response(input_data, chat_history, max_new_tokens, system_prompt, t
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streamer = TextIteratorStreamer(pipe.tokenizer, skip_prompt=True, skip_special_tokens=True)
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generation_kwargs = {
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"streamer": streamer,
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"max_new_tokens": max_new_tokens,
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"do_sample": True,
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"temperature": temperature,
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"top_p": top_p,
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"top_k": top_k,
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"repetition_penalty": repetition_penalty
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}
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thread = Thread(target=pipe, args=(messages,), kwargs=generation_kwargs)
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thread.start()
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demo = gr.ChatInterface(
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fn=generate_response,
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@@ -63,7 +78,7 @@ demo = gr.ChatInterface(
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gr.Slider(label="Repetition Penalty", minimum=1.0, maximum=2.0, step=0.05, value=1.0)
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],
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examples=[
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[{"text": "Explain Newton laws clearly and concisely
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[{"text": "Write a Python function to calculate the Fibonacci sequence"}],
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[{"text": "What are the benefits of open weight AI models"}],
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],
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@@ -71,7 +86,7 @@ demo = gr.ChatInterface(
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type="messages",
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description="""
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# gpt-oss-20b
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You can adjust reasoning level in the system prompt like "Reasoning: high
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""",
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fill_height=True,
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textbox=gr.Textbox(
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from threading import Thread
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import gradio as gr
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import spaces
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import re
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model_id = "openai/gpt-oss-20b"
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streamer = TextIteratorStreamer(pipe.tokenizer, skip_prompt=True, skip_special_tokens=True)
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generation_kwargs = {
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"max_new_tokens": max_new_tokens,
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"do_sample": True,
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"temperature": temperature,
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"top_p": top_p,
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"top_k": top_k,
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"repetition_penalty": repetition_penalty,
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"streamer": streamer
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}
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thread = Thread(target=pipe, args=(messages,), kwargs=generation_kwargs)
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thread.start()
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#streaming try #1
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buffer = ""
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full_response = ""
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for chunk in streamer:
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buffer += chunk
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parts = re.split(r'(\s+)', buffer)
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if re.match(r'\s+', parts[-1]) is not None:
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to_append = ''.join(parts)
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buffer = ""
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else:
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to_append = ''.join(parts[:-1])
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buffer = parts[-1]
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if to_append:
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full_response += to_append
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yield full_response
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if buffer:
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full_response += buffer
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yield full_response
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demo = gr.ChatInterface(
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fn=generate_response,
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gr.Slider(label="Repetition Penalty", minimum=1.0, maximum=2.0, step=0.05, value=1.0)
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],
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examples=[
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[{"text": "Explain Newton laws clearly and concisely"}],
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[{"text": "Write a Python function to calculate the Fibonacci sequence"}],
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[{"text": "What are the benefits of open weight AI models"}],
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],
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type="messages",
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description="""
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# gpt-oss-20b
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Wait couple of seconds initially. You can adjust reasoning level in the system prompt like "Reasoning: high.
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""",
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fill_height=True,
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textbox=gr.Textbox(
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