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Update app.py
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app.py
CHANGED
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import huggingface_hub as hf_hub
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import gradio as gr
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import openvino_genai as ov_genai
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import time
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#
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model_id = "OpenVINO/Qwen3-0.6B-int4-ov"
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model_path = "Qwen3-0.6B-int4-ov"
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hf_hub.snapshot_download(model_id, local_dir=model_path)
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pipe = ov_genai.LLMPipeline(model_path, "CPU")
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pipe.start_chat()
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def build_streamer(callback):
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def streamer(subword):
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callback(subword)
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return ov_genai.StreamingStatus.RUNNING
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return streamer
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# 對話處理函式
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def respond(
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message,
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history: list[tuple[str, str]],
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system_message,
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max_tokens,
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temperature,
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top_p,
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):
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prompt = system_message + "\n"
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for user_msg, bot_msg in history:
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prompt += f"<|user|>\n{user_msg}\n<|assistant|>\n{bot_msg}\n"
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prompt += f"<|user|>\n{message}\n<|assistant|>\n"
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# 使用 generator 包裝 streamer
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def generator():
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nonlocal response
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start_time = time.time()
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yield_fn.send(subword) # 把 token 傳給外部 generator
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yield_fn = yield # 讓第一個 yield 傳入收集函式
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[prompt],
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streamer=
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max_new_tokens=max_tokens,
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temperature=temperature,
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top_p=top_p
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)
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tps = gen_result.perf_metrics.get_throughput().mean
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print(f"\n--- TPS --- {tps:.2f} tokens/s --- {elapsed:.2f} sec")
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yield_fn.close() # 關閉 generator
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except StopIteration:
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return
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# Streaming to Gradio
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stream = streaming_generator()
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next(stream) # 啟動 stream
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for token in stream:
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yield response
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# 建立 Gradio Chat Interface
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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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gr.Textbox(value="You are a helpful assistant.", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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import gradio as gr
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import openvino_genai as ov_genai
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import threading
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import queue
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import time
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# 初始化 OpenVINO 模型
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model_id = "OpenVINO/Qwen3-0.6B-int4-ov"
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model_path = "Qwen3-0.6B-int4-ov"
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hf_hub.snapshot_download(model_id, local_dir=model_path)
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pipe = ov_genai.LLMPipeline(model_path, "CPU")
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pipe.start_chat()
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def respond(message, history, system_message, max_tokens, temperature, top_p):
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prompt = system_message + "\n"
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for user_msg, bot_msg in history:
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prompt += f"<|user|>\n{user_msg}\n<|assistant|>\n{bot_msg}\n"
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prompt += f"<|user|>\n{message}\n<|assistant|>\n"
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# 使用 Queue 與 Thread 進行串流
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q = queue.Queue()
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def streamer(subword):
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q.put(subword)
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return ov_genai.StreamingStatus.RUNNING
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def worker():
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pipe.generate(
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[prompt],
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streamer=streamer,
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max_new_tokens=max_tokens,
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temperature=temperature,
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top_p=top_p
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)
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q.put(None) # 標記結束
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threading.Thread(target=worker).start()
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response = ""
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while True:
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token = q.get()
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if token is None:
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break
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response += token
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yield response # Gradio 逐步回傳給 UI
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# Gradio 介面
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demo = gr.ChatInterface(
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fn=respond,
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additional_inputs=[
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gr.Textbox(value="You are a helpful assistant.", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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