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97 lines (86 loc) · 3.1 KB
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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)."
)