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multi-label-summary-text

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Paula Leonova

Add radio for ground truth

96aa704 over 2 years ago

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3.45 kB

	import streamlit as st
	import numpy as np
	import pandas as pd
	import plotly.express as px
	from plotly.subplots import make_subplots
	import json

	# Reference: https://huggingface.co/spaces/team-zero-shot-nli/zero-shot-nli/blob/main/utils.py
	def plot_result(top_topics, scores):
	top_topics = np.array(top_topics)
	scores = np.array(scores)
	scores *= 100
	fig = px.bar(x=np.around(scores,2), y=top_topics, orientation='h',
	labels={'x': 'Confidence Score', 'y': 'Label'},
	text=scores,
	range_x=(0,115),
	title='Predictions',
	color=np.linspace(0,1,len(scores)),
	color_continuous_scale='GnBu')
	fig.update(layout_coloraxis_showscale=False)
	fig.update_traces(texttemplate='%{text:0.1f}%', textposition='outside')
	st.plotly_chart(fig)


	def plot_dual_bar_chart(topics_summary, scores_summary, topics_text, scores_text):
	data1 = pd.DataFrame({'label': topics_summary, 'scores on summary': scores_summary})
	data2 = pd.DataFrame({'label': topics_text, 'scores on full text': scores_text})
	data = pd.merge(data1, data2, on = ['label'])
	data.sort_values('scores on summary', ascending = True, inplace = True)

	fig = make_subplots(rows=1, cols=2,
	subplot_titles=("Predictions on Summary", "Predictions on Full Text"),
	)

	fig1 = px.bar(x=round(data['scores on summary']*100, 2), y=data['label'], orientation='h',
	text=round(data['scores on summary']*100, 2),
	)

	fig2 = px.bar(x=round(data['scores on full text']*100,2), y=data['label'], orientation='h',
	text=round(data['scores on full text']*100,2),
	)

	fig.add_trace(fig1['data'][0], row=1, col=1)
	fig.add_trace(fig2['data'][0], row=1, col=2)

	fig.update_traces(texttemplate='%{text:0.1f}%', textposition='outside')
	fig.update_layout(height=600, width=700) #, title_text="Predictions for")
	fig.update_xaxes(range=[0,115])
	fig.update_xaxes(matches='x')
	fig.update_yaxes(showticklabels=False) # hide all the xticks
	fig.update_yaxes(showticklabels=True, row=1, col=1)

	st.plotly_chart(fig)

	# def plot_dual_bar_chart(topics_summary, scores_summary, topics_text, scores_text):
	# data1 = pd.DataFrame({'label': topics_summary, 'scores': scores_summary})
	# data1['classification_on'] = 'summary'
	# data2 = pd.DataFrame({'label': topics_text, 'scores': scores_text})
	# data2['classification_on'] = 'full text'
	# data = pd.concat([data1, data2])
	# data['scores'] = round(data['scores']*100,2)

	# fig = px.bar(
	# data, x="scores", y="label", #orientation = 'h',
	# labels={'x': 'Confidence Score', 'y': 'Label'},
	# text=data['scores'],
	# range_x=(0,115),
	# color="label", barmode="group",
	# facet_col="classification_on",
	# category_orders={"classification_on": ["summary", "full text"]}
	# )
	# fig.update_traces(texttemplate='%{text:0.1f}%', textposition='outside')

	# st.plotly_chart(fig)


	def examples_load():
	with open("examples.json") as f:
	data=json.load(f)
	return data['text'], data['long_text_license'], data['labels'], data['ground_labels']

	def example_long_text_load():
	with open("example_long_text.txt", "r") as f:
	text_data = f.read()
	return text_data