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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 | |
| carbon_df= pd.read_pickle('./data/carbon_df.pkl') | |
| carbon_df.drop(carbon_df.loc[carbon_df['task']==''].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') | |
| models=[] | |
| # choose a dataset to analyze | |
| for m in carbon_df['name'].items(): | |
| try: | |
| modelname= m[1].split('/')[1] | |
| except: | |
| modelname = m[1] | |
| models.append(modelname) | |
| model_name = st.selectbox( | |
| f"Choose model to explore:", | |
| models) | |
| with st.expander("Model Comparison", expanded=False): | |
| st.markdown("### Here is how the model " + model_name + " compares to other models:") | |
| fig_model = px.bar(carbon_df.sort_values(by=['carbon']), x=models, y='carbon', hover_name= models, color_discrete_map = {model_name : 'red'}) | |
| st.plotly_chart(fig_model, use_container_width=True) | |
| with st.expander("Task Comparison", expanded=False): | |
| 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) | |