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| #!/usr/bin/env python | |
| # coding: utf-8 | |
| from dalle_mini.backend import ServiceError, get_images_from_backend | |
| import streamlit as st | |
| st.sidebar.markdown( | |
| """ | |
| <style> | |
| .aligncenter { | |
| text-align: center; | |
| } | |
| </style> | |
| <p class="aligncenter"> | |
| <img src="https://raw.githubusercontent.com/borisdayma/dalle-mini/main/img/logo.png"/> | |
| </p> | |
| """, | |
| unsafe_allow_html=True, | |
| ) | |
| st.sidebar.markdown( | |
| """ | |
| ___ | |
| <p style='text-align: center'> | |
| DALL·E mini is an AI model that generates images from any prompt you give! | |
| </p> | |
| <p style='text-align: center'> | |
| Created by Boris Dayma et al. 2021 | |
| <br/> | |
| <a href="https://github.com/borisdayma/dalle-mini" target="_blank">GitHub</a> | <a href="https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini--Vmlldzo4NjIxODA" target="_blank">Project Report</a> | |
| </p> | |
| """, | |
| unsafe_allow_html=True, | |
| ) | |
| st.header("DALL·E mini") | |
| st.subheader("Generate images from text") | |
| prompt = st.text_input("What do you want to see?") | |
| DEBUG = False | |
| if prompt != "": | |
| container = st.empty() | |
| container.markdown( | |
| f""" | |
| <style> p {{ margin:0 }} div {{ margin:0 }} </style> | |
| <div data-stale="false" class="element-container css-1e5imcs e1tzin5v1"> | |
| <div class="stAlert"> | |
| <div role="alert" data-baseweb="notification" class="st-ae st-af st-ag st-ah st-ai st-aj st-ak st-g3 st-am st-b8 st-ao st-ap st-aq st-ar st-as st-at st-au st-av st-aw st-ax st-ay st-az st-b9 st-b1 st-b2 st-b3 st-b4 st-b5 st-b6"> | |
| <div class="st-b7"> | |
| <div class="css-whx05o e13vu3m50"> | |
| <div data-testid="stMarkdownContainer" class="css-1ekf893 e16nr0p30"> | |
| <img src="https://raw.githubusercontent.com/borisdayma/dalle-mini/main/app/img/loading.gif" width="30"/> | |
| Generating predictions for: <b>{prompt}</b> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| <small><i>Predictions may take up to 40s under high load. Please stand by.</i></small> | |
| """, | |
| unsafe_allow_html=True, | |
| ) | |
| try: | |
| backend_url = st.secrets["BACKEND_SERVER"] | |
| print(f"Getting selections: {prompt}") | |
| selected = get_images_from_backend(prompt, backend_url) | |
| margin = 0.1 # for better position of zoom in arrow | |
| n_columns = 3 | |
| cols = st.columns([1] + [margin, 1] * (n_columns - 1)) | |
| for i, img in enumerate(selected): | |
| cols[(i % n_columns) * 2].image(img) | |
| container.markdown(f"**{prompt}**") | |
| st.button("Again!", key="again_button") | |
| except ServiceError as error: | |
| container.text(f"Service unavailable, status: {error.status_code}") | |
| except KeyError: | |
| if DEBUG: | |
| container.markdown( | |
| """ | |
| **Error: BACKEND_SERVER unset** | |
| Please, create a file called `.streamlit/secrets.toml` inside the app's folder and include a line to configure the server URL: | |
| ``` | |
| BACKEND_SERVER="<server url>" | |
| ``` | |
| """ | |
| ) | |
| else: | |
| container.markdown( | |
| "Error -5, please try again or [report it](mailto:pcuenca-dalle@guenever.net)." | |
| ) | |