import streamlit as st
import azure.cognitiveservices.speech as speechsdk

# Azure Speech Service credentials
speech_key = "12afe22c558a4f8d8bd28d6a67cdb9b0"
service_region = "westus"

def transcribe_audio(file_path):
    speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)
    audio_input = speechsdk.AudioConfig(filename=file_path)
    speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_input)

    result = speech_recognizer.recognize_once()
    if result.reason == speechsdk.ResultReason.RecognizedSpeech:
        return result.text
    elif result.reason == speechsdk.ResultReason.NoMatch:
        return "No speech could be recognized"
    else:
        return "Speech recognition canceled: {}".format(result.cancellation_details.reason)

st.title("Chinese Pronunciation Checker")

uploaded_file = st.file_uploader("Choose an audio file", type=["wav", "mp3"])

if uploaded_file is not None:
    st.audio(uploaded_file, format="audio/wav")
    file_path = f"temp_audio.{uploaded_file.type.split('/')[-1]}"
    
    with open(file_path, "wb") as f:
        f.write(uploaded_file.getbuffer())

    transcript = transcribe_audio(file_path)
    st.write("Transcribed Text: ", transcript)