Spaces:
Running
Running
| #!/usr/bin/env python | |
| # coding: utf-8 | |
| import random | |
| from dalle_mini.backend import ServiceError, get_images_from_backend | |
| import streamlit as st | |
| # streamlit.session_state is not available in Huggingface spaces. | |
| # Session state hack https://huggingface.slack.com/archives/C025LJDP962/p1626527367443200?thread_ts=1626525999.440500&cid=C025LJDP962 | |
| from streamlit.report_thread import get_report_ctx | |
| def query_cache(q_emb=None): | |
| ctx = get_report_ctx() | |
| session_id = ctx.session_id | |
| session = st.server.server.Server.get_current()._get_session_info(session_id).session | |
| if not hasattr(session, "_query_state"): | |
| setattr(session, "_query_state", q_emb) | |
| if q_emb: | |
| session._query_state = q_emb | |
| return session._query_state | |
| def set_run_again(state): | |
| query_cache(state) | |
| def should_run_again(): | |
| state = query_cache() | |
| return state if state is not None else False | |
| 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?") | |
| #TODO: I think there's an issue where we can't run twice the same inference (not due to caching) - may need to use st.form | |
| DEBUG = False | |
| if prompt != "" or (should_run_again and prompt != ""): | |
| container = st.empty() | |
| container.markdown(f"Generating predictions for: **{prompt}**") | |
| try: | |
| backend_url = st.secrets["BACKEND_SERVER"] | |
| print(f"Getting selections: {prompt}") | |
| selected = get_images_from_backend(prompt, backend_url) | |
| cols = st.beta_columns(4) | |
| for i, img in enumerate(selected): | |
| cols[i%4].image(img) | |
| container.markdown(f"**{prompt}**") | |
| set_run_again(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).') | |