app.py

import streamlit as st
from st_audiorec import st_audiorec
import os
from datetime import datetime

# Placeholder function to simulate processing and generating a medical note
def process_audio_and_generate_note(audio_data_path):
    # In a real scenario, this function would likely perform operations such as:
    # 1. Converting the audio data into a suitable format for analysis.
    # 2. Performing speech recognition on the audio to extract text.
    # 3. Using the extracted text to generate a medical note.
    # Here, we'll simulate this with a placeholder return value.
    # IMPORTANT: Assume processing is done here, and we no longer need the audio file
    return "Path to generated medical consultation note in Word format"

# Ensure the directory exists
audio_dir_path = "meddictate/data/audio"
os.makedirs(audio_dir_path, exist_ok=True)

st.title('MedDictate: Medical Consultation Note Generator')

# Display instructions and initiate the audio recorder component
st.write("Click the button below to start and stop recording:")
wav_audio_data = st_audiorec()  # This initiates the audio recorder

# Store the audio data in session state if received from the recorder
if wav_audio_data is not None:
    st.session_state.audio_bytes = wav_audio_data

# Button to submit the recording for processing
if 'audio_bytes' in st.session_state and st.session_state.audio_bytes:
    if st.button('Process Recording', key='process_recording'):
        # Construct a filename with a timestamp to avoid overwriting existing files
        timestamp = datetime.now().strftime("%Y-%m-%dT%H-%M-%S")
        filename = f"recorded_audio_{timestamp}.wav"
        audio_file_path = os.path.join(audio_dir_path, filename)

        # Save the audio data to a WAV file
        with open(audio_file_path, "wb") as f:
            f.write(st.session_state.audio_bytes)

        # Process the audio data
        generated_note_path = process_audio_and_generate_note(audio_file_path)

        # After processing, delete the audio file as it's no longer needed
        os.remove(audio_file_path)

        st.write('Processing complete. Your medical consultation note is ready for download.')
        st.download_button('Download Medical Note', generated_note_path, 'medical_note.docx')
else:
    # Prompt to record if no audio data is found
    st.warning('Please click the record button above to start recording your audio.')