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import json | |
import streamlit as st | |
from audiorecorder import audiorecorder | |
import requests | |
STT_API_KEY = "gV6KiOm_eDrOisgI9B9hBbcTeNEwYQT4XNLJNLaI6DMk" #see discord | |
STT_URL = "https://api.us-south.speech-to-text.watson.cloud.ibm.com/instances/de074216-e340-4d56-b391-406532c98440/v1/recognize" #see discord | |
st.markdown("<h1 style='text-align: center;'>Tell us how you feel</h1>", unsafe_allow_html=True) | |
st.write("<h3 style='text-align: center; color: lightSeaGreen;'>we'll generate the insights</h3>", unsafe_allow_html=True) | |
audio = audiorecorder("Click to record", "Click to stop recording") | |
if not audio.empty(): | |
# To play audio in frontend: | |
st.audio(audio.export().read()) | |
# To save audio to a file, use pydub export method: | |
audio.export("audio.flac", format="flac") | |
# Convert audio to text | |
headers = { | |
"Content-Type": "audio/flac" | |
} | |
with open("audio.flac", "rb") as f: | |
response = requests.post(STT_URL, auth=("apikey", STT_API_KEY), headers=headers, files={'audio.flac': f}) | |
response_json = response.json() | |
print(response_json) | |
if response_json["results"]: | |
response_text = response_json["results"][0]["alternatives"][0]["transcript"] | |
else: | |
response_text = "No audio detected" | |
print(response_text) | |
# To get audio properties, use pydub AudioSegment properties: | |
st.text_area(label="Output", | |
value=response_text, | |
height=300) | |