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Update app.py
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app.py
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#!/usr/bin/env python3
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#
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import gradio as gr
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import requests, json, re, time
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from threading import Thread
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URL = "http://localhost:8000/v1/chat/completions"
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@@ -12,11 +12,13 @@ def sanitize(text: str):
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return re.sub(r"[\ud800-\udfff]", "", text)
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# ======================
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#
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# ======================
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history_openai = []
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assistant_buffer = ""
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# ======================
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# Streaming 主執行緒
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@@ -44,120 +46,64 @@ def stream_to_buffer(user_input: str):
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continue
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data = line[6:]
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if data == "[DONE]":
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break
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try:
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tok = json.loads(data)["choices"][0]["delta"].get("content")
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except
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continue
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if tok:
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assistant_buffer += tok
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# 結束後更新歷史
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except Exception as e:
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assistant_buffer = f"请求失败: {e}"
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finally:
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is_streaming = False
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# ======================
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# 使用者送出訊息
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# ======================
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def user_submit(user_msg
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global assistant_buffer, is_streaming
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return [], "", ""
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# 清空 buffer,啟動 streaming
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assistant_buffer = ""
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is_streaming = True
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Thread(target=stream_to_buffer, args=(user_msg,), daemon=True).start()
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# ======================
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# Timer 定時刷新
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# ======================
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def flush_buffer(
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# 如果最後一條是 user,就加上 streaming 中的 assistant 回覆
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if current_messages[-1]["role"] == "user":
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return current_messages + [{"role": "assistant", "content": assistant_buffer}]
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elif current_messages[-1]["role"] == "assistant":
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# 更新最後一條 assistant 的內容
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updated = current_messages.copy()
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updated[-1]["content"] = assistant_buffer
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return updated
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return current_messages
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#
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is_streaming = False
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return [], "", ""
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# ======================
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# Qwen 風格 CSS
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# ======================
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QWEN_CSS = """
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#chatbot {
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height: 600px;
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overflow-y: auto;
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}
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#chatbot .user {
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background-color: #e6f0ff;
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border-radius: 12px;
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padding: 12px;
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margin: 8px 0;
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text-align: right;
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}
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#chatbot .bot {
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background-color: #f0f0f0;
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border-radius: 12px;
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padding: 12px;
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margin: 8px 0;
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text-align: left;
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}
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.gradio-container {
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font-family: 'Segoe UI', 'PingFang SC', 'Microsoft YaHei', sans-serif;
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}
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"""
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# ======================
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# Gradio
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# ======================
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with gr.Blocks(
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gr.Markdown("##
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chatbot = gr.Chatbot(
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container=False,
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scale=8
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)
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clear_btn = gr.Button("🗑️ 清除", scale=1)
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# 提交時:更新 chatbot 為 [{"role": "user", "content": "..."}]
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msg.submit(
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fn=user_submit,
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inputs=msg,
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outputs=[chatbot, msg, gr.State()], # 第三個 output 是為了觸發 timer(可選)
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queue=False
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)
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clear_btn.click(clear_conversation, outputs=[chatbot, msg, gr.State()])
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# Timer 每 0.3 秒刷新
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timer = gr.Timer(value=0.3)
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timer.tick(flush_buffer, inputs=chatbot, outputs=chatbot)
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if __name__ == "__main__":
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# ⚠️ 不要加 reload=...,這不是 launch() 的參數
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demo.launch(server_name="0.0.0.0", server_port=7860)
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#!/usr/bin/env python3
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# gradio_timer_buffer_final.py ── 0.3 秒刷新 + 完成後停止刷新 + 可重整重啟
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import gradio as gr
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import requests, json, re, sys, time
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from threading import Thread
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URL = "http://localhost:8000/v1/chat/completions"
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return re.sub(r"[\ud800-\udfff]", "", text)
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# ======================
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# 全域狀態(每次重整會重設)
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# ======================
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history_openai = []
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current_chatbot = []
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assistant_buffer = ""
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is_streaming = False
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# ======================
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# Streaming 主執行緒
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continue
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data = line[6:]
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if data == "[DONE]":
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is_streaming = False
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break
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try:
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tok = json.loads(data)["choices"][0]["delta"].get("content")
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except json.JSONDecodeError:
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byte_buf = line_bytes + b"\n" + byte_buf
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continue
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if tok:
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assistant_buffer += tok
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# 結束後更新歷史
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history_openai.append({"role": "assistant", "content": sanitize(assistant_buffer)})
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is_streaming = False
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except Exception as e:
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assistant_buffer = f"请求失败: {e}"
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is_streaming = False
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# ======================
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# 使用者送出訊息
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# ======================
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def user_submit(user_msg, chatbot):
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global current_chatbot, assistant_buffer, is_streaming
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current_chatbot = chatbot + [[user_msg, ""]]
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assistant_buffer = ""
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is_streaming = True
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Thread(target=stream_to_buffer, args=(user_msg,), daemon=True).start()
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return "", current_chatbot
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# ======================
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# Timer 定時刷新
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# ======================
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def flush_buffer():
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"""每 0.3 秒刷新 buffer,若已完成就不再更新"""
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global current_chatbot, assistant_buffer, is_streaming
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if not current_chatbot:
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return current_chatbot
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# 更新目前的內容
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current_chatbot[-1][1] = assistant_buffer
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# 若結束則停止 timer 更新
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if not is_streaming:
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time.sleep(0.1) # 確保最後一次更新
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return current_chatbot
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# ======================
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# Gradio 介面
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# ======================
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with gr.Blocks() as demo:
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gr.Markdown("## Chat8000 Lab3 - 每 0.3 秒刷新 Buffer(完成自動停止)")
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chatbot = gr.Chatbot()
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msg = gr.Textbox(show_label=False, placeholder="輸入訊息後按 Enter")
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msg.submit(user_submit, [msg, chatbot], [msg, chatbot], queue=False)
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timer = gr.Timer(value=0.3, active=True)
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timer.tick(flush_buffer, outputs=chatbot)
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860)
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