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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)
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