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app.py
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import streamlit as st
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from smolagents import LiteLLMModel
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import os
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def load_model():
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MODEL_NAMES = [
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"Qwen/QwQ-32B", # 免費使用
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]
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model = LiteLLMModel(
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"together_ai" + "/" + MODEL_NAMES[0],
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temperature=0.2,
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api_key=os.getenv("TOGETHER_API_KEY")
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)
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return model
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def main():
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st.title("文件摘要工具")
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st.markdown("上傳文本檔案,生成繁中重點摘要")
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# 讀取 API_KEY 從 Environment Variables
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api_key = os.getenv("TOGETHER_API_KEY")
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if not api_key:
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st.error("請設定 Together AI API_KEY!")
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return
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# 讓用戶上傳文件
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uploaded_file = st.file_uploader("上傳 txt 文件", type=["txt"])
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if not uploaded_file:
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st.info("請選擇文件inheritdoc...")
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return
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# 讀取文件內容
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content = uploaded_file.read().decode("utf-8")
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# 生成摘要
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model = load_model()
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response = model([{"role": "user", "content": "針對本文幫我生成繁中重點摘要並包含Markdown:" + content}])
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summary = str(response.content)
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# 顯示結果
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st.markdown("### 生成的摘要如下:")
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st.markdown(summary)
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if __name__ == "__main__":
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main()
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