Update app.py

app.py

@@ -3,6 +3,7 @@ import yt_dlp
 import torch
 import numpy as np
 from faster_whisper import WhisperModel
+import os
 
 # Load model sekali aja
 model = WhisperModel("small", device="cpu", compute_type="float32")
@@ -13,7 +14,8 @@ def transcribe_audio(file):
     transcript = "\n".join(segment.text for segment in segments)
 
     # Simpan ke file TXT
-    with open("transcription.txt", "w", encoding="utf-8") as f:
+    file_path = "transcription.txt"
+    with open(file_path, "w", encoding="utf-8") as f:
         f.write(transcript)
 
     return f"**Transcription:**\n{transcript}"
@@ -34,6 +36,11 @@ def transcribe_youtube(url):
     audio_file = get_audio_from_youtube(url)
     return transcribe_audio(audio_file)
 
+#memastikan file ada sebelum digunakan
+if not os.path.exists('transcription.txt'):
+    with open("transcription.txt", "w", encoding="utf-8") as f:
+        f.write("")
+
 # Gradio UI
 with gr.Blocks() as app:
     gr.Markdown("# 🎤 YouTube & Audio Transcriber with Whisper AI")