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Update app.py
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app.py
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import os
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import gradio as gr
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from fastcoref import FCoref
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# 1. 初始化指代消解模型
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print("正在載入 AI 模型,請稍候...")
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model = FCoref()
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def coref_chat(user_input):
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# 執行模型推論
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preds = model.predict(texts=[user_input])
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clusters = preds[0].get_clusters()
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if not clusters:
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return user_input, "模型未偵測到明確的指代群組。"
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# 整理輸出結果
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result_text = "🎯 AI 偵測到的連連看群組:\n"
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for i, cluster in enumerate(clusters):
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result_text += f"【群組 {i+1}】
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return user_input, result_text
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#
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with gr.Blocks(
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gr.Markdown("# 🤖 指代消解 (
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gr.Markdown("輸入一段包含多個角色的對話,看 AI 如何幫你「連連看」!")
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with gr.Row():
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lines=5
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)
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submit_btn = gr.Button("開始分析")
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with gr.Column():
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txt_original = gr.Textbox(label="你輸入的文字", interactive=False)
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txt_output = gr.Textbox(label="AI 分析結果", lines=8, interactive=False)
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submit_btn.click(
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fn=coref_chat,
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inputs=txt_input,
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outputs=[txt_original, txt_output]
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)
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gr.Examples(
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examples=[
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["Professor James and his assistant Mary are in the lab. The woman told the man that the experiment was a success. She smiled at him."],
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["Ben brought some pizza for his friends, and they all enjoyed it."]
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],
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inputs=txt_input
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)
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# 3. 啟動機器人
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if __name__ == "__main__":
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# share=True 會產生一個臨時網址,你可以傳給老師或組員看
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demo.launch()
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import os
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import sys
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# 1. 強制修正環境變數,避免雲端安裝模型時權限不足
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os.environ['TRANSFORMERS_CACHE'] = '/tmp/huggingface'
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os.environ['SPACY_CACHE'] = '/tmp/spacy'
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# 2. 在所有 import 之前,先確保 spacy 的模型已經下載完成
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try:
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import spacy
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if not spacy.util.is_package("en_core_web_sm"):
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os.system(f"{sys.executable} -m spacy download en_core_web_sm")
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except Exception as e:
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os.system(f"{sys.executable} -m spacy download en_core_web_sm")
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import gradio as gr
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from fastcoref import FCoref
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# 3. 初始化模型 (這裡建議直接在啟動時下載)
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model = FCoref()
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def coref_chat(user_input):
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preds = model.predict(texts=[user_input])
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clusters = preds[0].get_clusters()
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if not clusters:
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return user_input, "模型未偵測到明確的指代群組。"
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result_text = "🎯 AI 偵測到的連連看群組:\n"
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for i, cluster in enumerate(clusters):
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result_text += f"【群組 {i+1}】:{cluster}\n"
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return user_input, result_text
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# 建立介面
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with gr.Blocks() as demo:
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gr.Markdown("# 🤖 指代消解 AI 助理 (Cloud Version)")
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with gr.Row():
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txt_input = gr.Textbox(label="請輸入測試文本", lines=3)
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submit_btn = gr.Button("開始分析")
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txt_output = gr.Textbox(label="AI 分析結果", lines=5)
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submit_btn.click(fn=coref_chat, inputs=txt_input, outputs=[txt_input, txt_output])
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if __name__ == "__main__":
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demo.launch()
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