Update app.py

app.py

@@ -8,7 +8,7 @@ import soundfile as sf
 from pydub import AudioSegment
 from telegram import Update
 from telegram.ext import ApplicationBuilder, MessageHandler, filters, CommandHandler
-from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
+from transformers import pipeline
 from huggingface_hub import login
 import asyncio
 from collections import defaultdict
@@ -33,7 +33,7 @@ try:
     )
 
     # 2. نموذج توليف الصوت (نموذج بديل)
-    tts_model = pipeline("text-to-speech", model="coqui/tts-arabic", token=os.getenv("HF_TOKEN"))
+    tts_pipeline = pipeline("text-to-speech", model="coqui/tts-arabic", token=os.getenv("HF_TOKEN"))
 
 except Exception as e:
     logger.error(f"فشل تحميل النماذج: {str(e)}")
@@ -91,8 +91,8 @@ async def generate_response(text: str, user_id: str) -> str:
 
 async def text_to_speech(text: str) -> None:
     try:
-        audio = tts_model(text)
-        sf.write("bot_response.wav", audio, 22050)  # تأكد من استخدام معدل العينة الصحيح
+        audio = tts_pipeline(text)
+        sf.write("bot_response.wav", audio["audio"], 22050)  # تأكد من استخدام معدل العينة الصحيح
     except Exception as e:
         logger.error(f"فشل تحويل النص إلى صوت: {str(e)}")
 
@@ -115,7 +115,7 @@ async def process_voice(update: Update, context):
         await text_to_speech(bot_response)
         
         if enhance_audio("bot_response.wav", "bot_response_enhanced.wav"):
-            await update .message.reply_voice("bot_response_enhanced.wav")
+            await update.message.reply_voice("bot_response_enh hanced.wav")
         else:
             await update.message.reply_voice("bot_response.wav")