app.py

import requests
import pytz
import streamlit as st
from datetime import datetime
from audio_recorder_streamlit import audio_recorder

API_URL = "https://tonpixzfvq3791u9.us-east-1.aws.endpoints.huggingface.cloud"
key = 'test-public-anonymous-T4-Whisper-Small-En'
headers = {
    "Authorization": "Bearer {key}",
    "Content-Type": "audio/wav"
}

def generate_filename(prompt, file_type):
    central = pytz.timezone('US/Central')
    safe_date_time = datetime.now(central).strftime("%m%d_%H%M")
    replaced_prompt = prompt.replace(" ", "_").replace("\n", "_")
    safe_prompt = "".join(x for x in replaced_prompt if x.isalnum() or x == "_")[:90]
    return f"{safe_date_time}_{safe_prompt}.{file_type}"

def query(filename):
    with open(filename, "rb") as f:
        data = f.read()
    response = requests.post(API_URL, headers=headers, data=data)
    return response.json()

def save_and_play_audio(audio_recorder):
    audio_bytes = audio_recorder.get_audio()
    if audio_bytes:
        filename = generate_filename("Recording", "wav")
        with open(filename, 'wb') as f:
            f.write(audio_bytes)
        st.audio(audio_bytes, format="audio/wav")
        return filename
    return None

def transcribe_audio(file_path):
    API_URL = "https://tonpixzfvq3791u9.us-east-1.aws.endpoints.huggingface.cloud"
    headers = {
        "Authorization": f"Bearer {openai_key}",
    }
    with open(file_path, 'rb') as f:
        data = {'file': f}
        response = requests.post(API_URL, headers=headers, files=data)
    if response.status_code == 200:
        st.write(response.json())

st.title("Speech to Text")
st.write("Record your speech and get the text.")

# Audio, transcribe, GPT:
filename = save_and_play_audio(audio_recorder)
if filename is not None:
    transcription = transcribe_audio(filename)
    #st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
    filename = None