Update app.py

app.py

@@ -1,18 +1,17 @@
 import os
 import time
 import shutil
+from pydub import AudioSegment
+from openai import OpenAI
 import gradio as gr
 from fastapi import FastAPI, File, UploadFile, Form, HTTPException
-from openai import OpenAI
-from pydub import AudioSegment
 from fastapi.responses import JSONResponse
 
-# ========================
-# 🔐 環境變數 / Secret 修正
-# ========================
-# Hugging Face 有時不會正確傳入 Secret，所以做雙重保險：
-OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY") or os.getenv("OPENAI_API_KEY")
-APP_PASSWORD = os.environ.get("APP_PASSWORD") or os.getenv("APP_PASSWORD")
+# ======================================================
+# 🔐 基本設定：讀取環境變數（Secrets 也能正確抓到）
+# ======================================================
+OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
+APP_PASSWORD = os.environ.get("APP_PASSWORD")
 
 print("===== 🚀 啟動中 =====")
 print(f"OPENAI_API_KEY: {'✅ 已載入' if OPENAI_API_KEY else '❌ 未載入'}")
@@ -20,11 +19,10 @@ print(f"APP_PASSWORD: {'✅ 已載入' if APP_PASSWORD else '❌ 未載入'}")
 
 client = OpenAI(api_key=OPENAI_API_KEY)
 MAX_SIZE = 25 * 1024 * 1024
-app = FastAPI(title="LINE Audio Transcriber")
 
-# ========================
-# 🎧 核心轉錄函式
-# ========================
+# ======================================================
+# 🎧 音訊處理核心
+# ======================================================
 def split_audio_if_needed(path: str):
     size = os.path.getsize(path)
     if size <= MAX_SIZE:
@@ -39,6 +37,7 @@ def split_audio_if_needed(path: str):
         parts.append(fn)
     return parts
 
+
 def transcribe_core(path: str, model: str = "whisper-1"):
     chunks = split_audio_if_needed(path)
     txts = []
@@ -54,15 +53,22 @@ def transcribe_core(path: str, model: str = "whisper-1"):
     ).choices[0].message.content.strip()
     return full, summ
 
-# ========================
-# 🌐 API 路由 (for 捷徑)
-# ========================
+
+# ======================================================
+# 🌐 FastAPI 主要端點
+# ======================================================
+app = FastAPI(title="LINE Audio Transcriber")
+
+@app.get("/ping")
+def ping():
+    return {"status": "ok", "key": bool(OPENAI_API_KEY), "pw": bool(APP_PASSWORD)}
+
 @app.post("/api/transcribe")
 async def api_transcribe(
     file: UploadFile = File(...),
     token: str = Form(default=None)
 ):
-    """捷徑可 POST 來呼叫語音轉錄"""
+    """iPhone 捷徑上傳音訊"""
     if APP_PASSWORD and token != APP_PASSWORD:
         raise HTTPException(status_code=403, detail="Forbidden: invalid token")
 
@@ -74,14 +80,11 @@ async def api_transcribe(
     os.remove(temp)
     return JSONResponse({"text": text, "summary": summary})
 
-@app.get("/ping")
-def ping():
-    return {"status": "ok", "key": bool(OPENAI_API_KEY), "pw": bool(APP_PASSWORD)}
 
-# ========================
-# 💬 Gradio 前端
-# ========================
-def gradio_ui(password, file):
+# ======================================================
+# 💬 Gradio 介面（共存 UI）
+# ======================================================
+def transcribe_with_pw(password, file):
     if APP_PASSWORD and password.strip() != APP_PASSWORD:
         return "❌ 密碼錯誤", "", ""
     if not file:
@@ -89,18 +92,20 @@ def gradio_ui(password, file):
     text, summary = transcribe_core(file.name)
     return "✅ 完成", text, summary
 
+
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
-    gr.Markdown("## 🎧 LINE 語音轉錄與摘要工具")
+    gr.Markdown("## 🎧 LINE 語音轉錄與摘要工具（支援 .m4a / .mp4）")
     pw = gr.Textbox(label="輸入密碼", type="password")
     f = gr.File(label="上傳音訊檔 (.m4a/.mp3/.wav/.mp4)")
     run = gr.Button("開始轉錄 🚀")
     s = gr.Textbox(label="狀態", interactive=False)
     t = gr.Textbox(label="逐字稿", lines=10)
     su = gr.Textbox(label="摘要", lines=8)
-    run.click(gradio_ui, [pw, f], [s, t, su])
+    run.click(transcribe_with_pw, [pw, f], [s, t, su])
 
-# 掛上 Gradio
-gr.mount_gradio_app(app, demo, path="/")
 
-# ✅ Hugging Face Spaces 需要這行來啟動 FastAPI app
-application = app
+# ======================================================
+# 🚀 關鍵啟動（讓 HF 正確偵測）
+# ======================================================
+from gradio.routes import mount_gradio_app
+application = mount_gradio_app(app, demo, path="/")