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Update app.py
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app.py
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@@ -2,55 +2,59 @@ import gradio as gr
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import azure.cognitiveservices.speech as speechsdk
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def assess_pronunciation(audio_file, reference_text):
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# Create Gradio interface
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interface = gr.Interface(
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import azure.cognitiveservices.speech as speechsdk
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def assess_pronunciation(audio_file, reference_text):
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try:
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# Configure Azure Speech Service
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speech_key = "12afe22c558a4f8d8bd28d6a67cdb9b0"
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service_region = "westus"
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speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)
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# Set up the audio configuration
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audio_config = speechsdk.audio.AudioConfig(filename=audio_file)
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# Create pronunciation assessment config
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pronunciation_config = speechsdk.PronunciationAssessmentConfig(
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reference_text=reference_text,
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grading_system=speechsdk.PronunciationAssessmentGradingSystem.HundredMark,
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granularity=speechsdk.PronunciationAssessmentGranularity.Phoneme
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)
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pronunciation_config.enable_prosody_assessment()
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# Create the recognizer
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recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_config)
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pronunciation_config.apply_to(recognizer)
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# Recognize speech and assess pronunciation
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result = recognizer.recognize_once()
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# Debug information
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print(f"Recognition result reason: {result.reason}")
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if result.reason == speechsdk.ResultReason.RecognizedSpeech:
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pronunciation_result = speechsdk.PronunciationAssessmentResult(result)
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# Extract and format the results
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accuracy_score = pronunciation_result.accuracy_score
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fluency_score = pronunciation_result.fluency_score
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completeness_score = pronunciation_result.completeness_score
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prosody_score = pronunciation_result.prosody_score
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return {
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"Accuracy": accuracy_score,
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"Fluency": fluency_score,
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"Completeness": completeness_score,
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"Prosody": prosody_score
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}
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elif result.reason == speechsdk.ResultReason.NoMatch:
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print("NOMATCH: Speech could not be recognized.")
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return {"Error": "Speech could not be recognized. Please try again with a clearer audio."}
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elif result.reason == speechsdk.ResultReason.Canceled:
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cancellation_details = speechsdk.CancellationDetails(result)
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print(f"CANCELED: Reason={cancellation_details.reason}")
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print(f"CANCELED: ErrorDetails={cancellation_details.error_details}")
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return {"Error": f"Speech recognition canceled: {cancellation_details.error_details}"}
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except Exception as e:
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print(f"An error occurred: {str(e)}")
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return {"Error": f"An unexpected error occurred: {str(e)}"}
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# Create Gradio interface
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interface = gr.Interface(
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