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#!/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">GitHub</a> | <a href="https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini--Vmlldzo4NjIxODA">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).') | |