app.py

import gradio as gr
import azure.cognitiveservices.speech as speechsdk

def assess_pronunciation(audio_file):
    # Configure Azure Speech Service
    speech_key = "YourAzureSpeechServiceKey"
    service_region = "YourServiceRegion"
    speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)
    
    # Set up the audio configuration
    audio_config = speechsdk.audio.AudioConfig(filename=audio_file)
    
    # Create pronunciation assessment config
    pronunciation_config = speechsdk.PronunciationAssessmentConfig(
        reference_text="你好",
        grading_system=speechsdk.PronunciationAssessmentGradingSystem.HundredMark,
        granularity=speechsdk.PronunciationAssessmentGranularity.Phoneme
    )
    pronunciation_config.enable_prosody_assessment()

    # Create the recognizer
    recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_config)
    pronunciation_config.apply_to(recognizer)

    # Recognize speech and assess pronunciation
    result = recognizer.recognize_once()
    pronunciation_result = speechsdk.PronunciationAssessmentResult(result)
    
    # Extract and format the results
    accuracy_score = pronunciation_result.accuracy_score
    fluency_score = pronunciation_result.fluency_score
    completeness_score = pronunciation_result.completeness_score
    prosody_score = pronunciation_result.prosody_score

    return {
        "Accuracy": accuracy_score,
        "Fluency": fluency_score,
        "Completeness": completeness_score,
        "Prosody": prosody_score
    }

# Create Gradio interface
interface = gr.Interface(
    fn=assess_pronunciation,
    inputs=gr.Audio(source="upload", type="filepath"),
    outputs="json",
    title="Chinese Pronunciation Checker"
)

if __name__ == "__main__":
    interface.launch()