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beta development for new gallery view
Browse files- pages/Gallery.py +57 -47
- pages/Ranking.py +2 -1
- requirements.txt +1 -0
pages/Gallery.py
CHANGED
@@ -2,6 +2,7 @@ import os
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import requests
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import altair as alt
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import numpy as np
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import pandas as pd
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import streamlit as st
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@@ -263,7 +264,6 @@ class GalleryApp:
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# return prompt_tags, tag, prompt_id, items
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def app(self):
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# st.title('Model Visualization and Retrieval')
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# st.write('This is a gallery of images generated by the models')
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@@ -273,53 +273,60 @@ class GalleryApp:
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# sort tags by alphabetical order
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prompt_tags = np.sort(prompt_tags)[::1].tolist()
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for i in range(len(prompt_tags)):
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with tabs[i]:
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tag = prompt_tags[i]
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items = self.promptBook[self.promptBook['tag'] == tag].reset_index(drop=True)
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if selected_prompt is None:
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st.markdown(':orange[Please select a prompt above👆]')
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else:
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items = items[items['prompt'] == selected_prompt].reset_index(drop=True)
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prompt_id = items['prompt_id'].unique()[0]
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note = items['note'].unique()[0]
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# add safety check for some prompts
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safety_check = True
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unsafe_prompts = {}
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# initialize unsafe prompts
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for prompt_tag in prompt_tags:
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unsafe_prompts[prompt_tag] = []
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# manually add unsafe prompts
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unsafe_prompts['world knowledge'] = [83]
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unsafe_prompts['abstract'] = [1, 3]
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if int(prompt_id.item()) in unsafe_prompts[tag]:
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st.warning('This prompt may contain unsafe content. They might be offensive, depressing, or sexual.')
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safety_check = st.checkbox('I understand that this prompt may contain unsafe content. Show these images anyway.', key=f'safety_{prompt_id}')
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if safety_check:
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if subset == 'Selected Only' and 'selected_dict' in st.session_state:
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# try:
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items = items[items['modelVersion_id'].isin(st.session_state.selected_dict[prompt_id])].reset_index(drop=True)
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self.gallery_mode(prompt_id, items)
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# except:
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# st.warning('No selected images found')
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else:
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self.graph_mode(prompt_id, items)
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try:
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self.sidebar(items, prompt_id, note)
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except:
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@@ -383,6 +390,8 @@ class GalleryApp:
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infos_df = infos_df.rename(index={'model_name': 'Model', 'modelVersion_name': 'Version', 'model_download_count': 'Downloads', 'clip_score': 'Clip Score', 'mcos_score': 'mcos Score', 'nsfw_score': 'NSFW Score'})
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st.table(infos_df)
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# for info in infos:
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# st.write(f"**{info}**:")
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# st.write(item[info])
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@@ -391,6 +400,7 @@ class GalleryApp:
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st.info('Please click on an image to show')
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def gallery_mode(self, prompt_id, items):
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items, info, col_num = self.selection_panel(items)
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@@ -627,9 +637,9 @@ def load_tsne_coordinates(items):
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# print(tsne_df['modelVersion_id'].dtype)
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print('before merge:', items)
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items = items.merge(tsne_df, on=['modelVersion_id', 'prompt_id'], how='left')
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print('after merge:', items)
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return items
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import requests
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import altair as alt
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import extra_streamlit_components as stx
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import numpy as np
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import pandas as pd
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import streamlit as st
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# return prompt_tags, tag, prompt_id, items
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def app(self):
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# st.title('Model Visualization and Retrieval')
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# st.write('This is a gallery of images generated by the models')
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# sort tags by alphabetical order
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prompt_tags = np.sort(prompt_tags)[::1].tolist()
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# chosen_data = [stx.TabBarItemData(id=tag, title=tag, description='') for tag in prompt_tags]
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# tag = stx.tab_bar(chosen_data, key='tag', default='food')
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tag = st.radio('Select a tag', prompt_tags, index=5, horizontal=True, key='tag')
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# tabs = st.tabs(prompt_tags)
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# for i in range(len(prompt_tags)):
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# with tabs[i]:
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# tag = prompt_tags[i]
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items = self.promptBook[self.promptBook['tag'] == tag].reset_index(drop=True)
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prompts = np.sort(items['prompt'].unique())[::1]
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subset_selector = st.columns([3, 1])
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with subset_selector[0]:
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# selected_prompt = st.selectbox('Select prompt', prompts, index=3)
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selected_prompt = selectbox('Select prompt', prompts, key=f'prompt_{tag}', no_selection_label='---')
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with subset_selector[1]:
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subset = st.selectbox('Select a subset', ['All', 'Selected Only'], index=0, key=f'subset_{tag}')
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if selected_prompt is None:
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st.markdown(':orange[Please select a prompt above👆]')
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st.write('**Feel free to navigate among tags and pages! Your selection will be saved within one log-in session.**')
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else:
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items = items[items['prompt'] == selected_prompt].reset_index(drop=True)
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prompt_id = items['prompt_id'].unique()[0]
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note = items['note'].unique()[0]
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print(prompt_id, note)
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# add safety check for some prompts
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safety_check = True
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unsafe_prompts = {}
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# initialize unsafe prompts
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for prompt_tag in prompt_tags:
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unsafe_prompts[prompt_tag] = []
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# manually add unsafe prompts
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unsafe_prompts['world knowledge'] = [83]
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unsafe_prompts['abstract'] = [1, 3]
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if int(prompt_id.item()) in unsafe_prompts[tag]:
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st.warning('This prompt may contain unsafe content. They might be offensive, depressing, or sexual.')
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safety_check = st.checkbox('I understand that this prompt may contain unsafe content. Show these images anyway.', key=f'safety_{prompt_id}')
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if safety_check:
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if subset == 'Selected Only' and 'selected_dict' in st.session_state:
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# try:
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items = items[items['modelVersion_id'].isin(st.session_state.selected_dict[prompt_id])].reset_index(drop=True)
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self.gallery_mode(prompt_id, items)
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# except:
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# st.warning('No selected images found')
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else:
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self.graph_mode(prompt_id, items)
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try:
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self.sidebar(items, prompt_id, note)
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except:
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infos_df = infos_df.rename(index={'model_name': 'Model', 'modelVersion_name': 'Version', 'model_download_count': 'Downloads', 'clip_score': 'Clip Score', 'mcos_score': 'mcos Score', 'nsfw_score': 'NSFW Score'})
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st.table(infos_df)
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st.button('🎖️ Proceed selections to ranking', on_click=switch_page, args=("ranking",), use_container_width=True,)
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# for info in infos:
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# st.write(f"**{info}**:")
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# st.write(item[info])
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st.info('Please click on an image to show')
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def gallery_mode(self, prompt_id, items):
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items, info, col_num = self.selection_panel(items)
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# print(tsne_df['modelVersion_id'].dtype)
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# print('before merge:', items)
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items = items.merge(tsne_df, on=['modelVersion_id', 'prompt_id'], how='left')
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# print('after merge:', items)
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return items
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pages/Ranking.py
CHANGED
@@ -255,7 +255,8 @@ class RankingApp:
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def app(self):
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st.title('Personal Image Ranking')
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st.write('Here you can test out your selected images with any prompt you like.')
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# st.write(self.promptBook)
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# save the current progress to session state
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def app(self):
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st.title('Personal Image Ranking')
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st.write('Here you can test out your selected images with any prompt you like. ')
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st.caption("We might pair some other images that you haven't selected based on our evaluation matrix.")
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# st.write(self.promptBook)
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# save the current progress to session state
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requirements.txt
CHANGED
@@ -6,3 +6,4 @@ altair<5
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streamlit-vega-lite
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scikit-learn
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pymysql
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streamlit-vega-lite
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scikit-learn
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pymysql
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extra_streamlit_components
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