implement output

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 import torch
 from transformers import pipeline
 import librosa
+import soundfile as sf 
 import spaces
 
 def split_audio(audio_path, chunk_duration=30):
@@ -17,9 +18,9 @@ def transcribe_long_audio(audio_path, transcriber, chunk_duration=30):
     """Transcribe long audio by splitting into smaller chunks."""
     chunks, sr = split_audio(audio_path, chunk_duration)
     transcriptions = []
-    for chunk in chunks:
-        temp_path = "temp_chunk.wav"
-        librosa.output.write_wav(temp_path, chunk, sr)
+    for i, chunk in enumerate(chunks):
+        temp_path = f"temp_chunk_{i}.wav"
+        sf.write(temp_path, chunk, sr)  # Save the chunk using soundfile
         transcription = transcriber(temp_path)["text"]
         transcriptions.append(transcription)
     return " ".join(transcriptions)