app.py

import streamlit as st
from audiorecorder import audiorecorder
import openai
import os
import wave
import tempfile

# Nastavení klíče API pro OpenAI
openai.api_key = os.environ['OPENAI_API_KEY']

def transcribe(audio_path):
    """
    Transkribuje audio soubor pomocí Whisper API.
    """
    with open(audio_path, "rb") as audio_file:
        response = openai.Audio.transcribe("whisper-1", audio_file)
    return response['data']['text']

# Streamlit aplikace
st.title("Audio Transkriptor")

# Nahrávání audia
st.markdown("Nahrajte svůj hlasový záznam.")
audio_data = audiorecorder("Record", "Stop")

# Zpracování a zobrazení transkripce
if audio_data is not None and len(audio_data) > 0:
    # Uložení audio dat do dočasného WAV souboru
    with tempfile.NamedTemporaryFile(delete=False, suffix='.wav') as tmp_file:
        audio_path = tmp_file.name
        with wave.open(audio_path, 'wb') as wav_file:
            wav_file.setnchannels(1)
            wav_file.setsampwidth(2)
            wav_file.setframerate(44100)
            wav_file.writeframes(audio_data.tobytes())

        # Transkripce audia
        with st.spinner('Probíhá transkripci...'):
            transcript = transcribe(audio_path)
            st.text_area("Transkript", value=transcript, height=300)