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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" 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).')