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import socket |
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import subprocess |
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import gradio as gr |
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from openai import OpenAI |
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def get_local_ip(): |
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s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) |
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try: |
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s.connect(("8.8.8.8", 80)) |
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ip = s.getsockname()[0] |
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except Exception: |
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ip = "127.0.0.1" |
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finally: |
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s.close() |
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return ip |
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print("本機 IP:", get_local_ip()) |
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subprocess.Popen("bash /home/user/app/start.sh", shell=True) |
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client = OpenAI( |
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base_url="http://0.0.0.0:8000/v1", |
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api_key="sk-local", |
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timeout=600 |
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) |
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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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messages = [{"role": "system", "content": system_message}] |
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for user, assistant in history: |
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if user: |
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messages.append({"role": "user", "content": user}) |
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if assistant: |
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messages.append({"role": "assistant", "content": assistant}) |
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messages.append({"role": "user", "content": message}) |
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try: |
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stream = client.chat.completions.create( |
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model="qwen3", |
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messages=messages, |
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max_tokens=max_tokens, |
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temperature=temperature, |
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top_p=top_p, |
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stream=True, |
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) |
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output = "" |
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for chunk in stream: |
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delta = chunk.choices[0].delta.content or "" |
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output += delta |
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yield output |
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except Exception as e: |
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print(f"[Error] {e}") |
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yield "⚠️ Llama.cpp server 沒有回應,請稍後再試。" |
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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 friendly assistant.", label="System message"), |
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gr.Slider(minimum=1, maximum=2048, value=4096, step=1, label="Max new tokens"), |
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), |
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gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"), |
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], |
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) |
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if __name__ == "__main__": |
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demo.launch() |
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