Update app.py
Browse files
app.py
CHANGED
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@@ -3,38 +3,31 @@ import gradio as gr
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from fastapi import FastAPI, UploadFile, Form, HTTPException
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from openai import OpenAI
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# 初始化 FastAPI + Gradio
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app = FastAPI()
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client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
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# 載入安全金鑰(請在 Hugging Face → Settings → Secrets 裡設 APP_PASSWORD)
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APP_PASSWORD = os.getenv("APP_PASSWORD", None)
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#
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async def transcribe_api(file: UploadFile, token: str = Form(...)):
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# 驗證 token
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if not APP_PASSWORD:
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raise HTTPException(status_code=500, detail="Server misconfiguration: APP_PASSWORD not set.")
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if token != APP_PASSWORD:
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raise HTTPException(status_code=403, detail="Forbidden: invalid token.")
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# 儲存臨時音訊檔
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contents = await file.read()
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temp_path = f"/tmp/{file.filename}"
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with open(temp_path, "wb") as f:
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f.write(contents)
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# 語音轉文字
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with open(temp_path, "rb") as audio_file:
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transcript = client.audio.transcriptions.create(
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model="whisper-1",
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file=audio_file
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)
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text = transcript.text.strip()
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# 簡短摘要
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summary_prompt = f"請幫我用中文摘要以下內容:\n\n{text}"
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summary = client.chat.completions.create(
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model="gpt-4o-mini",
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@@ -44,7 +37,7 @@ async def transcribe_api(file: UploadFile, token: str = Form(...)):
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return {"text": text, "summary": summary}
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# === Gradio
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def transcribe_ui(audio):
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if audio is None:
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return "請上傳音訊檔案", ""
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@@ -67,16 +60,13 @@ def transcribe_ui(audio):
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demo = gr.Interface(
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fn=transcribe_ui,
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inputs=gr.Audio(type="filepath", label="上傳音訊"),
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outputs=[
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gr.Textbox(label="轉錄結果"),
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gr.Textbox(label="AI 摘要")
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],
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title="LINE 語音轉錄與摘要 (安全版)",
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description="上傳 LINE 語音或其他音訊,進行自動轉錄與摘要"
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)
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#
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app = gr.mount_gradio_app(
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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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from fastapi import FastAPI, UploadFile, Form, HTTPException
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from openai import OpenAI
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client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
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APP_PASSWORD = os.getenv("APP_PASSWORD", None)
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# 初始化 FastAPI
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api = FastAPI()
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@api.post("/api/transcribe")
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async def transcribe_api(file: UploadFile, token: str = Form(...)):
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if not APP_PASSWORD:
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raise HTTPException(status_code=500, detail="Server misconfiguration: APP_PASSWORD not set.")
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if token != APP_PASSWORD:
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raise HTTPException(status_code=403, detail="Forbidden: invalid token.")
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contents = await file.read()
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temp_path = f"/tmp/{file.filename}"
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with open(temp_path, "wb") as f:
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f.write(contents)
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with open(temp_path, "rb") as audio_file:
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transcript = client.audio.transcriptions.create(
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model="whisper-1",
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file=audio_file
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)
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text = transcript.text.strip()
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summary_prompt = f"請幫我用中文摘要以下內容:\n\n{text}"
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summary = client.chat.completions.create(
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model="gpt-4o-mini",
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return {"text": text, "summary": summary}
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# === Gradio 部分 ===
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def transcribe_ui(audio):
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if audio is None:
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return "請上傳音訊檔案", ""
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demo = gr.Interface(
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fn=transcribe_ui,
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inputs=gr.Audio(type="filepath", label="上傳音訊"),
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outputs=[gr.Textbox(label="轉錄結果"), gr.Textbox(label="AI 摘要")],
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title="LINE 語音轉錄與摘要 (安全版)",
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description="上傳 LINE 語音或其他音訊,進行自動轉錄與摘要"
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)
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# 用不同變數名防止覆蓋
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app = gr.mount_gradio_app(api, demo, path="/")
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860, share=True)
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