Update app.py

app.py

@@ -3,36 +3,54 @@ import gradio as gr
 from fastapi import FastAPI, UploadFile, Form, HTTPException
 from openai import OpenAI
 
+print("===== 🚀 啟動中，開始檢查環境變數 =====")
+print("OPENAI_API_KEY:", "✅ 已設定" if os.getenv("OPENAI_API_KEY") else "❌ 未設定")
+print("APP_PASSWORD:", "✅ 已設定" if os.getenv("APP_PASSWORD") else "❌ 未設定")
+
 client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
 APP_PASSWORD = os.getenv("APP_PASSWORD", None)
 
 # 初始化 FastAPI
 api = FastAPI()
 
+@api.get("/ping")
+async def ping():
+    return {"status": "ok", "APP_PASSWORD": bool(APP_PASSWORD)}
+
 @api.post("/api/transcribe")
 async def transcribe_api(file: UploadFile, token: str = Form(...)):
+    print(f"📥 收到請求：file={file.filename}, token={token}")
+
     if not APP_PASSWORD:
+        print("❌ APP_PASSWORD 未設定")
         raise HTTPException(status_code=500, detail="Server misconfiguration: APP_PASSWORD not set.")
     if token != APP_PASSWORD:
+        print("❌ token 驗證失敗")
         raise HTTPException(status_code=403, detail="Forbidden: invalid token.")
 
+    # 儲存臨時音訊檔
     contents = await file.read()
     temp_path = f"/tmp/{file.filename}"
     with open(temp_path, "wb") as f:
         f.write(contents)
+    print(f"✅ 音訊檔已儲存: {temp_path}")
 
+    # 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"🗣️ 轉錄結果: {text[:80]}...")
 
+    # 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",
         messages=[{"role": "user", "content": summary_prompt}]
     ).choices[0].message.content.strip()
+    print(f"🧠 AI 摘要完成。")
 
     return {"text": text, "summary": summary}
 
@@ -41,6 +59,8 @@ async def transcribe_api(file: UploadFile, token: str = Form(...)):
 def transcribe_ui(audio):
     if audio is None:
         return "請上傳音訊檔案", ""
+    print(f"🎧 Gradio 收到音訊: {audio}")
+
     with open(audio, "rb") as f:
         transcript = client.audio.transcriptions.create(
             model="whisper-1",
@@ -65,8 +85,12 @@ demo = gr.Interface(
     description="上傳 LINE 語音或其他音訊，進行自動轉錄與摘要"
 )
 
-# 用不同變數名防止覆蓋
+# 掛載 Gradio 到 FastAPI
 app = gr.mount_gradio_app(api, demo, path="/")
 
+print("===== ✅ FastAPI 路徑註冊完成 =====")
+for route in app.routes:
+    print("👉", route.path)
+
 if __name__ == "__main__":
     demo.launch(server_name="0.0.0.0", server_port=7860, share=True)