Create app.py

app.py

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+import gradio as gr
+import difflib
+
+# Function to simulate pronunciation feedback
+def pronunciation_feedback(user_audio, sentence):
+    # Simulate a correct pronunciation for the given sentence
+    correct_text = sentence.lower()
+    
+    # Convert audio to text using speech recognition (mocking this part for the example)
+    user_text = "This is a sample text."  # Replace with actual speech recognition result
+
+    # Compare the user's text with the correct text
+    ratio = difflib.SequenceMatcher(None, correct_text, user_text.lower()).ratio()
+    
+    # Generate feedback based on similarity
+    if ratio > 0.9:
+        feedback = "Great job! Your pronunciation is almost perfect!"
+    elif ratio > 0.7:
+        feedback = "Good job! But you can improve your pronunciation on some words."
+    else:
+        feedback = "Keep practicing! Try to mimic the pronunciation more closely."
+
+    return feedback
+
+# Gradio Interface
+interface = gr.Interface(
+    fn=pronunciation_feedback,
+    inputs=[
+        gr.Audio(source="microphone", type="filepath", label="Record your pronunciation"),
+        gr.Textbox(lines=2, label="Sentence to pronounce", value="This is a sample text.")
+    ],
+    outputs="text",
+    title="Pronunciation Trainer",
+    description="Record yourself pronouncing the given sentence and receive feedback on your pronunciation."
+)
+
+interface.launch()