Update app.py

app.py

@@ -3,11 +3,11 @@ import logging
 from telegram import Update
 from telegram.ext import Application, MessageHandler, filters
 from transformers import pipeline, AutoTokenizer, VitsModel
-import torchaudio
 import librosa
-import soundfile as sf
+import soundfile as sf  # <-- المكتبة البديلة
 from pydub import AudioSegment
 import numpy as np
+import torch
 
 # تهيئة النظام
 logging.basicConfig(
@@ -42,7 +42,7 @@ def enhance_audio(input_path, output_path):
 async def speech_to_text(audio_path):
     try:
         audio, sr = librosa.load(audio_path, sr=16000)
-        sf.write("temp.wav", audio, sr)
+        sf.write("temp.wav", audio, sr)  # <-- استبدال torchaudio بـ soundfile
         result = asr_pipeline("temp.wav")
         return result["text"]
     except Exception as e:
@@ -72,7 +72,10 @@ async def text_to_speech(text):
         with torch.no_grad():
             output = tts_model(**inputs)
         waveform = output.waveform[0].numpy()
-        torchaudio.save("bot_response.wav", torch.Tensor(waveform), tts_model.config.sampling_rate)
+        
+        # ===== التغيير الرئيسي هنا =====
+        sf.write("bot_response.wav", waveform, tts_model.config.sampling_rate)  # <-- استبدال torchaudio
+        
     except Exception as e:
         logger.error(f"فشل تحويل النص إلى صوت: {str(e)}")