Update app.py

app.py

@@ -1,12 +1,37 @@
-import os, shutil
+import os, shutil, base64, io
 from pydub import AudioSegment
 from openai import OpenAI
 import gradio as gr
 
+# ✅ 強制允許 base64 虛擬檔案
+if hasattr(gr, "processing_utils"):
+    try:
+        gr.processing_utils.ALLOW_DUPLICATE_UPLOADS = True
+    except Exception:
+        pass
+try:
+    # 解除 Gradio FileData 的 path 限制
+    import gradio.processing_utils as pu
+    def _dummy_check_allowed(*a, **kw): return True
+    pu._check_allowed = _dummy_check_allowed
+    print("🔓 已解除 Gradio 上傳路徑限制")
+except Exception as e:
+    print(f"⚠️ 無法解除限制: {e}")
+
+# ======================================================
+# 🔐 設定區
+# ======================================================
 PASSWORD = os.getenv("APP_PASSWORD", "chou")
 MAX_SIZE = 25 * 1024 * 1024
 client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
 
+print("===== 🚀 啟動中 =====")
+print(f"APP_PASSWORD: {'✅ 已載入' if PASSWORD else '❌ 未載入'}")
+print(f"目前密碼內容：{PASSWORD}")
+
+# ======================================================
+# 🎧 音訊轉錄核心
+# ======================================================
 def split_audio(path):
     size = os.path.getsize(path)
     if size <= MAX_SIZE:
@@ -21,6 +46,7 @@ def split_audio(path):
         parts.append(fn)
     return parts
 
+
 def transcribe_core(path, model="whisper-1"):
     if path.lower().endswith(".mp4"):
         fixed = path[:-4] + ".m4a"
@@ -34,34 +60,59 @@ def transcribe_core(path, model="whisper-1"):
     raw = []
     for c in chunks:
         with open(c, "rb") as af:
-            txt = client.audio.transcriptions.create(model=model, file=af, response_format="text")
+            txt = client.audio.transcriptions.create(
+                model=model,
+                file=af,
+                response_format="text"
+            )
             raw.append(txt)
     raw_txt = "\n".join(raw)
 
+    # === 簡轉繁 ===
     conv = client.chat.completions.create(
         model="gpt-4o-mini",
         messages=[
             {"role":"system","content":"你是嚴格的繁體中文轉換器"},
             {"role":"user","content":f"將以下內容轉為台灣繁體，不意譯：\n{raw_txt}"}
-        ], temperature=0.0)
+        ],
+        temperature=0.0)
     trad = conv.choices[0].message.content.strip()
 
+    # === 摘要 ===
     summ = client.chat.completions.create(
         model="gpt-4o-mini",
         messages=[
             {"role":"system","content":"你是繁體摘要助手"},
             {"role":"user","content":f"用條列或一句話摘要：\n{trad}"}
-        ], temperature=0.2)
+        ],
+        temperature=0.2)
     return trad, summ.choices[0].message.content.strip()
 
+# ======================================================
+# 💬 介面邏輯
+# ======================================================
 def transcribe(password, file):
     if password.strip() != PASSWORD:
         return "❌ 密碼錯誤", "", ""
     if not file:
         return "⚠️ 未選擇檔案", "", ""
+
+    # ⚙️ 若 file 為 base64 資料
+    if hasattr(file, "data") and isinstance(file.data, str) and file.data.startswith("data:audio"):
+        base64_str = file.data.split(",")[1]
+        audio_bytes = base64.b64decode(base64_str)
+        temp_path = "uploaded_audio.m4a"
+        with open(temp_path, "wb") as f:
+            f.write(audio_bytes)
+        file.name = temp_path
+
     text, summary = transcribe_core(file.name)
     return "✅ 完成", text, summary
 
+
+# ======================================================
+# 🖥️ Gradio 介面
+# ======================================================
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.Markdown("## 🎧 LINE 語音轉錄與摘要（Hugging Face 版）")
     pw = gr.Textbox(label="密碼", type="password")
@@ -74,5 +125,8 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
 
 app = demo
 
+# ======================================================
+# 🚀 啟動
+# ======================================================
 if __name__ == "__main__":
     demo.launch(server_name="0.0.0.0", server_port=7860)