Update app.py

app.py

@@ -4,7 +4,7 @@ import json
 from difflib import SequenceMatcher
 
 # Load pre-trained speech-to-text model
-recognizer = pipeline("automatic-speech-recognition")
+recognizer = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-base-960h")
 
 # Load Qur'an verses from JSON file
 with open('quran_verses.json', 'r', encoding='utf-8') as f:
@@ -69,19 +69,19 @@ def process_audio(audio):
             f"Similarity: {highest_similarity * 100:.2f}%\n"
             f"Feedback: {feedback}\n"
             f"Progress: {progress:.2f}%"
-        ), progress / 100  # Return progress as a decimal for the progress bar
+        )
     else:
         return (
             f"Transcription: {transcription}\n"
             f"No matching verse found or similarity too low.\n"
             f"Progress: {calculate_progress():.2f}%"
-        ), calculate_progress() / 100  # Return progress as a decimal for the progress bar
+        )
 
 # Interface
 iface = gr.Interface(
     fn=process_audio, 
     inputs=gr.Audio(type="filepath"),  # No 'source' argument
-    outputs=[gr.Textbox(), gr.Progress()],  # Removed 'label' argument
+    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."
 )