Spaces:
Running
Running
feat: simplify app
Browse files- app/app.py +32 -44
app/app.py
CHANGED
@@ -2,31 +2,10 @@
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# coding: utf-8
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from dalle_mini.backend import ServiceError, get_images_from_backend
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import streamlit as st
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from streamlit.report_thread import get_report_ctx
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def query_cache(q_emb=None):
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ctx = get_report_ctx()
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session_id = ctx.session_id
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session = st.server.server.Server.get_current()._get_session_info(session_id).session
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if not hasattr(session, "_query_state"):
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setattr(session, "_query_state", q_emb)
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if q_emb:
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session._query_state = q_emb
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return session._query_state
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def set_run_again(state):
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query_cache(state)
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def should_run_again():
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state = query_cache()
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return state if state is not None else False
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st.sidebar.markdown("""
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<style>
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.aligncenter {
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text-align: center;
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@@ -35,8 +14,11 @@ st.sidebar.markdown("""
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<p class="aligncenter">
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<img src="https://raw.githubusercontent.com/borisdayma/dalle-mini/main/img/logo.png"/>
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</p>
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""",
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___
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<p style='text-align: center'>
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DALL·E mini is an AI model that generates images from any prompt you give!
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@@ -47,21 +29,20 @@ Created by Boris Dayma et al. 2021
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<br/>
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<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>
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</p>
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""",
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st.header(
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st.subheader(
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prompt = st.text_input("What do you want to see?")
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test = st.empty()
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DEBUG = False
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if prompt != ""
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container = st.empty()
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# but it returns None.
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container.markdown(f"""
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<style> p {{ margin:0 }} div {{ margin:0 }} </style>
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<div data-stale="false" class="element-container css-1e5imcs e1tzin5v1">
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<div class="stAlert">
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@@ -78,32 +59,39 @@ if prompt != "" or (should_run_again and prompt != ""):
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</div>
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</div>
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<small><i>Predictions may take up to 40s under high load. Please stand by.</i></small>
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""",
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try:
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backend_url = st.secrets["BACKEND_SERVER"]
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print(f"Getting selections: {prompt}")
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selected = get_images_from_backend(prompt, backend_url)
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for i, img in enumerate(selected):
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cols[i%
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container.markdown(f"**{prompt}**")
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except ServiceError as error:
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container.text(f"Service unavailable, status: {error.status_code}")
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except KeyError:
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if DEBUG:
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container.markdown(
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**Error: BACKEND_SERVER unset**
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Please, create a file called `.streamlit/secrets.toml` inside the app's folder and include a line to configure the server URL:
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```
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BACKEND_SERVER="<server url>"
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```
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"""
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else:
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container.markdown(
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# coding: utf-8
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from dalle_mini.backend import ServiceError, get_images_from_backend
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import streamlit as st
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st.sidebar.markdown(
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"""
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<style>
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.aligncenter {
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text-align: center;
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<p class="aligncenter">
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<img src="https://raw.githubusercontent.com/borisdayma/dalle-mini/main/img/logo.png"/>
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</p>
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""",
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unsafe_allow_html=True,
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)
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st.sidebar.markdown(
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"""
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___
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<p style='text-align: center'>
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DALL·E mini is an AI model that generates images from any prompt you give!
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<br/>
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<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>
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</p>
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""",
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unsafe_allow_html=True,
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)
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st.header("DALL·E mini")
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st.subheader("Generate images from text")
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prompt = st.text_input("What do you want to see?")
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DEBUG = False
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if prompt != "":
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container = st.empty()
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container.markdown(
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f"""
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<style> p {{ margin:0 }} div {{ margin:0 }} </style>
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<div data-stale="false" class="element-container css-1e5imcs e1tzin5v1">
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<div class="stAlert">
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</div>
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</div>
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<small><i>Predictions may take up to 40s under high load. Please stand by.</i></small>
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""",
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unsafe_allow_html=True,
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)
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try:
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backend_url = st.secrets["BACKEND_SERVER"]
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print(f"Getting selections: {prompt}")
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selected = get_images_from_backend(prompt, backend_url)
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margin = 0.1 # for better position of zoom in arrow
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n_columns = 3
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cols = st.columns([1] + [margin, 1] * (n_columns - 1))
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for i, img in enumerate(selected):
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cols[(i % n_columns) * 2].image(img)
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container.markdown(f"**{prompt}**")
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st.button("Again!", key="again_button")
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except ServiceError as error:
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container.text(f"Service unavailable, status: {error.status_code}")
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except KeyError:
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if DEBUG:
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container.markdown(
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"""
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**Error: BACKEND_SERVER unset**
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Please, create a file called `.streamlit/secrets.toml` inside the app's folder and include a line to configure the server URL:
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```
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BACKEND_SERVER="<server url>"
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```
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"""
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else:
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container.markdown(
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"Error -5, please try again or [report it](mailto:pcuenca-dalle@guenever.net)."
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)
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