Update app.py

app.py

@@ -8,24 +8,23 @@ print("===== 🚀 啟動中 =====")
 OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
 APP_PASSWORD = os.getenv("APP_PASSWORD")
 
-print(f"OPENAI_API_KEY: {OPENAI_API_KEY[:8]}********")  # 前8碼檢查
+print(f"OPENAI_API_KEY: {OPENAI_API_KEY[:10]}********")
 print(f"APP_PASSWORD: {APP_PASSWORD}")
 
 client = OpenAI(api_key=OPENAI_API_KEY)
 
-# === 建立 FastAPI ===
-app = FastAPI(title="Voice Transcribe API")
+# === FastAPI 主應用 ===
+api = FastAPI(title="Voice Transcribe API")
 
-@app.get("/ping")
+@api.get("/ping")
 async def ping():
     return {"status": "ok", "APP_PASSWORD": APP_PASSWORD is not None}
 
-@app.post("/api/transcribe")
+@api.post("/api/transcribe")
 async def transcribe_api(file: UploadFile, token: str = Form(...)):
     print(f"📥 收到 API 請求：{file.filename}, token={token}")
-
     if not APP_PASSWORD:
-        raise HTTPException(status_code=500, detail="APP_PASSWORD not set on server.")
+        raise HTTPException(status_code=500, detail="APP_PASSWORD not set")
     if token != APP_PASSWORD:
         raise HTTPException(status_code=403, detail="Forbidden: invalid token")
 
@@ -33,12 +32,12 @@ async def transcribe_api(file: UploadFile, token: str = Form(...)):
     with open(temp_path, "wb") as f:
         f.write(await file.read())
 
+    # 語音轉文字
     with open(temp_path, "rb") as audio_file:
         transcript = client.audio.transcriptions.create(model="whisper-1", file=audio_file)
-
     text = transcript.text.strip()
-    print(f"🗣️ 轉錄文字：{text[:60]}...")
 
+    # 生成摘要
     summary_prompt = f"請幫我用中文摘要以下內容：\n\n{text}"
     summary = client.chat.completions.create(
         model="gpt-4o-mini",
@@ -47,7 +46,7 @@ async def transcribe_api(file: UploadFile, token: str = Form(...)):
 
     return JSONResponse({"text": text, "summary": summary})
 
-# === 建立 Gradio UI ===
+# === Gradio UI ===
 def gradio_ui(audio):
     if audio is None:
         return "請上傳音訊檔案", ""
@@ -66,12 +65,11 @@ demo = gr.Interface(
     fn=gradio_ui,
     inputs=gr.Audio(type="filepath", label="上傳音訊"),
     outputs=[gr.Textbox(label="轉錄文字"), gr.Textbox(label="AI 摘要")],
-    title="LINE 語音轉錄與摘要 (整合 API 版)"
+    title="LINE 語音轉錄與摘要 (API + UI)",
+    description="可透過網頁或捷徑呼叫 /api/transcribe"
 )
 
-# === 將 Gradio 掛上 FastAPI ===
-app = gr.mount_gradio_app(app, demo, path="/")
-
-print("✅ FastAPI 路由:")
-for r in app.routes:
-    print("👉", r.path)
+# ✅ 關鍵：讓 Hugging Face 找到 FastAPI 應用
+app = gr.mount_gradio_app(api, demo, path="/")
+# 暴露 app 物件給 Spaces runtime
+application = app