Update app.py

app.py

@@ -4,19 +4,24 @@ import shutil
 from pydub import AudioSegment
 from openai import OpenAI
 import gradio as gr
-from fastapi import FastAPI, File, UploadFile
+from fastapi import FastAPI, File, UploadFile, Form, HTTPException
 
 # ========================
 # 🔐 基本設定
 # ========================
 PASSWORD = os.getenv("APP_PASSWORD", "defaultpass")
-MAX_SIZE = 25 * 1024 * 1024
-client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+
+print("===== 🚀 啟動中 =====")
+print(f"OPENAI_API_KEY: {'✅ 已載入' if OPENAI_API_KEY else '❌ 未載入'}")
+print(f"APP_PASSWORD: {'✅ 已載入' if PASSWORD else '❌ 未載入'}")
+print(f"目前密碼內容：{PASSWORD}")
 
-print(PASSWORD)
+MAX_SIZE = 25 * 1024 * 1024
+client = OpenAI(api_key=OPENAI_API_KEY)
 
 # FastAPI App for捷徑 API
-app = FastAPI()
+app = FastAPI(title="LINE Audio Transcriber")
 
 # ========================
 # 🎧 音訊轉錄核心
@@ -35,6 +40,7 @@ def split_audio_if_needed(path: str):
         parts.append(fn)
     return parts
 
+
 def transcribe_core(path: str, model: str = "whisper-1"):
     if path.lower().endswith(".mp4"):
         fixed = path[:-4] + ".m4a"
@@ -55,34 +61,40 @@ def transcribe_core(path: str, model: str = "whisper-1"):
             txts.append(t)
     full = "\n".join(txts)
     summ = client.chat.completions.create(
-
-
-
-
         model="gpt-4o-mini",
         messages=[{"role": "user", "content": f"請用繁體中文摘要以下內容：\n{full}"}],
         temperature=0.4,
     ).choices[0].message.content.strip()
     return full, summ
 
+
 # ========================
 # 🌐 FastAPI 端點（捷徑用）
 # ========================
 @app.post("/api/transcribe")
-async def api_transcribe(file: UploadFile = File(...)):
+async def api_transcribe(
+    file: UploadFile = File(...),
+    token: str = Form(default=None)
+):
     """供 iPhone 捷徑上傳音訊並取得 JSON"""
+    if token != PASSWORD:
+        raise HTTPException(status_code=403, detail="Invalid token")
+
     temp = file.filename
     with open(temp, "wb") as f:
         f.write(await file.read())
+
     text, summary = transcribe_core(temp)
     os.remove(temp)
     return {"text": text, "summary": summary}
 
+
 @app.get("/health")
 def health():
     """捷徑可先 ping 這個確認服務運作中"""
     return {"status": "ok", "time": int(time.time())}
 
+
 # ========================
 # 💬 Gradio 介面
 # ========================
@@ -94,6 +106,7 @@ def transcribe_with_pw(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（支援 .m4a / .mp4）")
     pw = gr.Textbox(label="輸入密碼", type="password")
@@ -102,16 +115,13 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
     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(transcribe_with_pw, [pw, f], [s, t, su])
 
 # ========================
 # 🚀 啟動（單一埠）
 # ========================
-# 讓 Gradio 介面掛載到 FastAPI
 gr.mount_gradio_app(app, demo, path="/")
 
-# Hugging Face 自動綁定 port=7860，不用手動設定
 if __name__ == "__main__":
     import uvicorn
-    uvicorn.run(app, host="0.0.0.0", port=7860)
+    uvicorn.run(app, host="0.0.0.0", port=7860)