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import streamlit as st | |
import os | |
import requests | |
import io | |
from PIL import Image | |
api_token = os.environ.get("api_token") | |
API_URL_WH = "https://api-inference.huggingface.co/models/openai/whisper-large-v3" | |
API_URL = "https://api-inference.huggingface.co/models/ehristoforu/dalle-3-xl" | |
headers = {"Authorization": f"Bearer {api_token}"} | |
st.title("Realtime Text2Image Voice") | |
type = st.selectbox( | |
'Choose input type', | |
("Text", "Voice") | |
) | |
def imquery(payload): | |
response = requests.post(API_URL, headers=headers, json=payload) | |
return response.content | |
def generate_image(prompt): | |
image_bytes = imquery({ | |
"inputs": prompt, | |
}) | |
return image_bytes | |
if type == "Text": | |
prompt = st.text_input("Enter prompt") | |
if prompt: | |
out = imquery(prompt) | |
st.image(out) | |
else: | |
prompt = st.file_uploader("Paste your audiofile", type=["mp3", "m4a", "wav"]) | |
if prompt: | |
def query(filename): | |
with open(filename, "rb") as f: | |
data = f.read() | |
response = requests.post(API_URL_WH, headers=headers, data=data) | |
return response.json() | |
output = query(prompt) | |
imoo = generate_image(output) | |
st.image(imoo) |