Spaces:
Sleeping
Sleeping
File size: 2,111 Bytes
e8c2dd4 b8d40f0 e8c2dd4 bfdb601 e8c2dd4 bfdb601 b611be2 e8c2dd4 b8d40f0 e8c2dd4 b8d40f0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
# 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.split('/')[1].replace('autonlp-','')
except:
modelname = m
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)
|