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import gradio as gr |
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import speech_recognition as sr |
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from Levenshtein import ratio |
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import tempfile |
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import numpy as np |
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import soundfile as sf |
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import pandas as pd |
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data = { |
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"Sentences": [ |
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"A stitch in time saves nine.", |
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"To be or not to be, that is the question.", |
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"Five cats were living in safe caves.", |
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"Hives give shelter to bees in large caves.", |
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"His decision to plant a rose was amazing.", |
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"She sells sea shells by the sea shore.", |
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"The colorful parrot likes rolling berries.", |
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"Time flies like an arrow; fruit flies like a banana.", |
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"Good things come to those who wait.", |
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"All human beings are born free and equal in dignity and rights." |
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] |
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} |
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df = pd.DataFrame(data) |
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def transcribe_audio(file_info): |
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r = sr.Recognizer() |
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with tempfile.NamedTemporaryFile(delete=True, suffix=".wav") as tmpfile: |
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sf.write(tmpfile.name, data=file_info[1], samplerate=44100, format='WAV') |
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tmpfile.seek(0) |
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with sr.AudioFile(tmpfile.name) as source: |
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audio_data = r.record(source) |
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try: |
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text = r.recognize_google(audio_data) |
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return text |
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except sr.UnknownValueError: |
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return "Could not understand audio" |
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except sr.RequestError as e: |
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return f"Could not request results; {e}" |
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def pronunciation_correction(expected_text, file_info): |
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user_spoken_text = transcribe_audio(file_info) |
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similarity = ratio(expected_text.lower(), user_spoken_text.lower()) |
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description = f"{similarity:.2f}" |
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if similarity >= 0.9: |
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feedback = "Excellent pronunciation!" |
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elif similarity >= 0.7: |
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feedback = "Good pronunciation!" |
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elif similarity >= 0.5: |
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feedback = "Needs improvement." |
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else: |
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feedback = "Poor pronunciation, try to focus more on clarity." |
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return feedback, description |
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with gr.Blocks() as app: |
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with gr.Row(): |
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sentence_dropdown = gr.Dropdown(choices=df['Sentences'].tolist(), label="Select a Sentence") |
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selected_sentence_output = gr.Textbox(label="Selected Text", interactive=False) |
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audio_input = gr.Audio(label="Upload Audio File", type="numpy") |
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check_pronunciation_button = gr.Button("Check Pronunciation") |
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pronunciation_feedback = gr.Textbox(label="Pronunciation Feedback") |
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pronunciation_score = gr.Number(label="Pronunciation Accuracy Score: 0 (No Match) ~ 1 (Perfect)") |
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sentence_dropdown.change(lambda x: x, inputs=sentence_dropdown, outputs=selected_sentence_output) |
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check_pronunciation_button.click( |
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pronunciation_correction, |
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inputs=[sentence_dropdown, audio_input], |
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outputs=[pronunciation_feedback, pronunciation_score] |
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) |
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app.launch(debug=True) |
