Update app.py

app.py

@@ -3,8 +3,8 @@ from transformers import pipeline
 import json
 from difflib import SequenceMatcher
 
-# Load pre-trained speech-to-text model
-recognizer = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-base-960h")
+# Load pre-trained Arabic speech-to-text model
+recognizer = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-large-xlsr-53-arabic")
 
 # Load Qur'an verses from JSON file
 with open('quran_verses.json', 'r', encoding='utf-8') as f:
@@ -53,7 +53,7 @@ def process_audio(audio):
     if audio is None:
         return "No audio file provided. Please upload or record an audio."
     
-    # Transcribe the audio
+    # Transcribe the audio using the Arabic model
     transcription = recognizer(audio)["text"]
     
     # Find the most similar verse
@@ -90,7 +90,7 @@ iface = gr.Interface(
     inputs=gr.Audio(type="filepath"),  # You can change this to "numpy" if needed
     outputs=gr.Textbox(),  # Only use a Textbox to display progress and feedback
     title="Qur'an Memorization Helper",
-    description="Speak a verse, and we'll transcribe it, check your accuracy, and track your progress."
+    description="Speak a verse in Arabic, and we'll transcribe it, check your accuracy, and track your progress."
 )
 
 # Launch the app