Create app.py

app.py

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+import os
+import time
+import shutil
+from pydub import AudioSegment
+from openai import OpenAI
+import gradio as gr
+from fastapi import FastAPI, UploadFile, File, Form
+from threading import Thread
+import uvicorn
+
+# ======================================================
+# 🔐 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_if_needed(path):
+    size = os.path.getsize(path)
+    if size <= MAX_SIZE:
+        return [path]
+    audio = AudioSegment.from_file(path)
+    n = int(size / MAX_SIZE) + 1
+    chunk_ms = len(audio) / n
+    parts = []
+    for i in range(n):
+        fn = f"chunk_{i+1}.wav"
+        audio[int(i * chunk_ms):int((i + 1) * chunk_ms)].export(fn, format="wav")
+        parts.append(fn)
+    return parts
+
+def transcribe_core(path, model="whisper-1"):
+    if path.lower().endswith(".mp4"):
+        fixed = path[:-4] + ".m4a"
+        try:
+            shutil.copy(path, fixed)
+            path = fixed
+        except Exception as e:
+            print(f"⚠️ mp4→m4a 轉檔失敗：{e}")
+
+    chunks = split_audio_if_needed(path)
+    txts = []
+    for f in chunks:
+        with open(f, "rb") as af:
+            res = client.audio.transcriptions.create(model=model, file=af, response_format="text")
+            txts.append(res)
+    full_raw = "\n".join(txts)
+
+    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
+    )
+    trad = 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": conv_prompt}
+        ],
+        temperature=0.0,
+    ).choices[0].message.content.strip()
+
+    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" + trad
+    )
+    summ = client.chat.completions.create(
+        model="gpt-4o-mini",
+        messages=[
+            {"role": "system", "content": "你是一位精準且嚴格使用台灣繁體中文的摘要助手。"},
+            {"role": "user", "content": sum_prompt}
+        ],
+        temperature=0.2,
+    ).choices[0].message.content.strip()
+
+    return trad, summ
+
+# ======================================================
+# 🌐 FastAPI for 捷徑
+# ======================================================
+api_app = FastAPI()
+
+@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}
+
+# ======================================================
+# 💬 Gradio 介面
+# ======================================================
+def transcribe_with_password(password, file):
+    if password.strip() != PASSWORD:
+        return "❌ 密碼錯誤", "", ""
+    if not file:
+        return "⚠️ 未選擇檔案", "", ""
+    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（支援 .m4a / .mp4）")
+    pw = gr.Textbox(label="輸入密碼", type="password")
+    f = gr.File(label="上傳音訊檔")
+    run = gr.Button("開始轉錄 🚀")
+    s = gr.Textbox(label="狀態", interactive=False)
+    t = gr.Textbox(label="轉錄結果", lines=10)
+    su = gr.Textbox(label="AI 摘要", lines=8)
+    run.click(transcribe_with_password, [pw, f], [s, t, su])
+
+# ======================================================
+# 🚀 啟動
+# ======================================================
+def run_api():
+    uvicorn.run(api_app, host="0.0.0.0", port=7861)
+
+Thread(target=run_api, daemon=True).start()
+app = demo  # ✅ Hugging Face 主入口使用 Gradio
+
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0", server_port=7860)