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| # Copyright 2021 The HuggingFace Team. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import streamlit as st | |
| import json | |
| import pandas as pd | |
| import plotly.express as px | |
| import numpy as np | |
| with open('carbon-models-2.json', 'r') as fp: | |
| carbondict= json.load(fp) | |
| models= [k.split('/')[1] for k in carbondict.keys()] | |
| carbon = [v[1] for v in carbondict.values()] | |
| carbon = [4009.5 if x== '4' else x for x in carbon] | |
| tasks = [v[0] for v in carbondict.values()] | |
| tasks = ["other" if len(x) < 2 else x for x in tasks] | |
| carbon_df = pd.DataFrame( | |
| {'name': models, | |
| 'task': tasks, | |
| 'carbon': carbon | |
| }) | |
| carbon_df.drop(carbon_df.loc[carbon_df['task']=='other'].index, inplace=True) | |
| st.set_page_config( | |
| page_title="Comparing the Carbon Footprint of Transformers", | |
| page_icon="./hf-earth.png", | |
| layout="wide", | |
| ) | |
| st.title("Hugging Face Carbon Compare Tool") | |
| # Get the sidebar details | |
| with st.sidebar.expander("Models", expanded=True): | |
| st.image('./hf-earth.png') | |
| # choose a dataset to analyze | |
| model_name = st.selectbox( | |
| f"Choose model to explore:", | |
| models) | |
| fig = px.box(carbon_df, x=carbon_df['task'], y=carbon_df['carbon'], color='task', hover_name=carbon_df['name']) | |
| #fig.update_traces(quartilemethod="exclusive") # or "inclusive", or "linear" by default | |
| st.plotly_chart(fig, use_container_width=True) | |