Spaces:
Runtime error
Runtime error
| import streamlit as st | |
| import requests | |
| from requests.structures import CaseInsensitiveDict | |
| import json | |
| query_url = "https://api.openai.com/v1/images/generations" | |
| st.title("DALL-E 2 API Image Generation Demo") | |
| st.write("Enter a prompt to generate an image") | |
| prompt = st.text_area("Prompt", "A cat riding a bike") | |
| model = st.selectbox( | |
| "Select a DALL-E 2 model", | |
| ["image-alpha-001", ""] | |
| ) | |
| num_images = st.slider("Number of images to generate", min_value=1, max_value=10, value=1) | |
| headers = CaseInsensitiveDict() | |
| headers["Content-Type"] = "application/json" | |
| api_key = "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" | |
| headers["Authorization"] = f"Bearer {api_key}" | |
| data = """ | |
| { | |
| """ | |
| data += f'"model": "{model}",' | |
| data += f'"prompt": "{prompt}",' | |
| data += f'"num_images": {num_images}' | |
| data += """ | |
| } | |
| """ | |
| def generate_images(): | |
| resp = requests.post(query_url, headers=headers, data=data) | |
| if resp.status_code != 200: | |
| raise ValueError("Failed to generate image "+resp.text) | |
| response_text = json.loads(resp.text) | |
| return response_text['data'] | |
| if st.button("Generate Images"): | |
| with st.spinner("Generating images..."): | |
| image_data = generate_images() | |
| for idx, image in enumerate(image_data): | |
| st.image(image['url'], caption=f"Image {idx+1}", width=400) | |