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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
st.sidebar.title("DALL-E Mini")
sc = st.sidebar.beta_columns(2)
sc[0].image('../img/logo.png', width=150)
sc[1].write(" ")
sc[1].markdown("Generate images from text")
st.sidebar.markdown("""
##### Dall-E Mini
___
Dall-E Mini is an AI model that generates images from any prompt you give it!
Created by Boris Dayma et al. 2021 | [GitHub](https://github.com/borisdayma/dalle-mini) | See [Report](https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-mini--Vmlldzo4NjIxODA)
""")
st.header('DALL-E mini Demo')
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 != "":
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}**")
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).')
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