Spaces:
Running
Running
File size: 740 Bytes
f86b2f2 5b6119d 366e9da 1dfe549 f86b2f2 c1d35d2 f86b2f2 c1d35d2 a483ba9 f86b2f2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 |
import streamlit as st
import requests
import io
from PIL import Image
import os
hf_token = os.environ.get("hf_token")
API_URL= "https://api-inference.huggingface.co/models/kinniiris/Eam_style_spaces"
headers = {"Authorization": f"Bearer {hf_token}"}
def query(payload):
response = requests.post(API_URL, headers=headers, json=payload)
return response.content
st.title("text to image model")
st.write("Enter a prompt")
model = st.selectbox(
"choose model",
("Eam_style_spaces")
)
prompt = st.text_input("Enter prompt")
if prompt:
if model == "Eam_style_spaces":
API_URL = API_URL
image_bytes = query({
"inputs": prompt,
})
st.image(image_bytes, caption="Generated image")
st.info("Image generated successfully")
|