Update app.py

app.py

@@ -4,12 +4,14 @@ import shutil
 from pydub import AudioSegment
 from openai import OpenAI
 import gradio as gr
-from fastapi import HTTPException
+from fastapi import FastAPI, UploadFile, File, Form
+import threading
+import uvicorn
 
 # ======================================================
 # 🔐 設定區
 # ======================================================
-PASSWORD = os.getenv("APP_PASSWORD", "defaultpass")
+PASSWORD = os.getenv("APP_PASSWORD", "chou")
 MAX_SIZE = 25 * 1024 * 1024
 client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
 
@@ -58,23 +60,20 @@ def transcribe_core(path, model="whisper-1"):
             raw_parts.append(res)
     full_raw = "\n".join(raw_parts)
 
-    # 簡轉繁
     conv_prompt = (
         "請將以下內容完整轉換為「繁體中文（台灣用語）」：\n"
-        "規則：1) 僅做簡→繁字形轉換；2) 不要意譯或改寫；3) 不要添加任何前後綴。\n"
-        "-----\n" + full_raw
+        "規則：1) 僅做簡→繁字形轉換；2) 不要意譯或改寫；3) 不要添加任何前後綴。\n-----\n" + full_raw
     )
     trad_resp = client.chat.completions.create(
         model="gpt-4o-mini",
         messages=[
-            {"role": "system", "content": "你是嚴格的繁體中文轉換器，只進行字形轉換。"},
+            {"role": "system", "content": "你是嚴格的繁體中文轉換器。"},
             {"role": "user", "content": conv_prompt}
         ],
         temperature=0.0,
     )
     full_trad = trad_resp.choices[0].message.content.strip()
 
-    # 摘要
     sum_prompt = (
         "請用台灣繁體中文撰寫摘要。若內容資訊多，可條列出重點；若內容簡短，請用一句話概述即可。\n\n"
         + full_trad
@@ -95,7 +94,7 @@ def transcribe_core(path, model="whisper-1"):
 # ======================================================
 def transcribe_with_password(password, file):
     if password.strip() != PASSWORD:
-        raise HTTPException(status_code=403, detail="密碼錯誤 ❌")
+        return "❌ 密碼錯誤", "", ""
     if not file:
         return "⚠️ 未選擇檔案", "", ""
     text, summary = transcribe_core(file.name)
@@ -112,9 +111,30 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
     run.click(transcribe_with_password, [pw, f], [s, t, su])
 
 # ======================================================
-# 🚀 啟動
+# 🌐 FastAPI for iPhone 捷徑
+# ======================================================
+api_app = FastAPI(title="LINE Transcription API")
+
+@api_app.post("/api/transcribe")
+async def api_transcribe(file: UploadFile = File(...), token: str = Form(...)):
+    if token != PASSWORD:
+        return {"error": "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}
+
+def run_api():
+    uvicorn.run(api_app, host="0.0.0.0", port=7861)
+
+# ======================================================
+# 🚀 啟動（同時啟 Gradio + FastAPI）
 # ======================================================
 if __name__ == "__main__":
+    threading.Thread(target=run_api, daemon=True).start()
     demo.launch(server_name="0.0.0.0", server_port=7860)
 else:
+    threading.Thread(target=run_api, daemon=True).start()
     demo.launch()