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import streamlit as st | |
# import openai | |
import replicate | |
def page2(): | |
st.title("OpenAI DALL·E Image Generation") | |
st.info("""#### NOTE: you can download image by \ | |
right clicking on the image and select save image as option""") | |
with st.form(key='form'): | |
prompt = st.text_input(label='Enter text prompt for image generation') | |
size = st.selectbox('Select size of the images', | |
('256x256', '512x512', '1024x1024')) | |
num_images = st.selectbox('Enter number of images to be generated', (1,2,3,4)) | |
submit_button = st.form_submit_button(label='Submit') | |
if submit_button: | |
if prompt: | |
output = replicate.run( | |
"stability-ai/stable-video-diffusion:3f0457e4619daac51203dedb472816fd4af51f3149fa7a9e0b5ffcf1b8172438", | |
input={ | |
"input_image": "https://example.com/path/to/file/input_image" | |
} | |
) | |
print(output) | |
# response = openai.Image.create( | |
# prompt = prompt, | |
# n = num_images, | |
# size=size, | |
# ) | |
# for idx in range(num_images): | |
# image_url = response["data"][idx]["url"] | |
# st.image(image_url, caption=f"Generated image: {idx+1}", | |
# use_column_width=True) |