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| import streamlit as st | |
| from transformers import pipeline | |
| import spacy | |
| from spacy import displacy | |
| import plotly.express as px | |
| import numpy as np | |
| st.set_page_config(page_title="Named Entity Recognition") | |
| st.title("Named Entity Recognition") | |
| st.write("_This web application is intended for educational use, please do not upload any sensitive information._") | |
| st.write("Identifying all geopolitical entities, organizations, people, locations, or dates in a body of text.") | |
| def Loading_NLP(): | |
| nlp = spacy.load('en_core_web_sm') | |
| return nlp | |
| def entRecognizer(entDict, typeEnt): | |
| entList = [ent for ent in entDict if entDict[ent] == typeEnt] | |
| return entList | |
| def plot_result(top_topics, scores): | |
| top_topics = np.array(top_topics) | |
| scores = np.array(scores) | |
| scores *= 100 | |
| fig = px.bar(x=scores, y=top_topics, orientation='h', | |
| labels={'x': 'Probability', 'y': 'Category'}, | |
| text=scores, | |
| range_x=(0,115), | |
| title='Top Predictions', | |
| color=np.linspace(0,1,len(scores)), | |
| color_continuous_scale="Bluered") | |
| fig.update(layout_coloraxis_showscale=False) | |
| fig.update_traces(texttemplate='%{text:0.1f}%', textposition='outside') | |
| st.plotly_chart(fig) | |
| with st.spinner(text="Please wait for the models to load. This should take approximately 60 seconds."): | |
| nlp = Loading_NLP() | |
| text = st.text_area('Enter Text Below:', height=300) | |
| submit = st.button('Generate') | |
| if submit: | |
| entities = [] | |
| entityLabels = [] | |
| doc = nlp(text) | |
| for ent in doc.ents: | |
| entities.append(ent.text) | |
| entityLabels.append(ent.label_) | |
| entDict = dict(zip(entities, entityLabels)) | |
| entOrg = entRecognizer(entDict, "ORG") | |
| entPerson = entRecognizer(entDict, "PERSON") | |
| entDate = entRecognizer(entDict, "DATE") | |
| entGPE = entRecognizer(entDict, "GPE") | |
| entLoc = entRecognizer(entDict, "LOC") | |
| options = {"ents": ["ORG", "GPE", "PERSON", "LOC", "DATE"]} | |
| HTML_WRAPPER = """<div style="overflow-x: auto; border: 1px solid #e6e9ef; border-radius: 0.25rem; padding: 1rem; margin-bottom: 2.5rem">{}</div>""" | |
| st.subheader("List of Named Entities:") | |
| st.write("Geopolitical Entities (GPE): " + str(entGPE)) | |
| st.write("People (PERSON): " + str(entPerson)) | |
| st.write("Organizations (ORG): " + str(entOrg)) | |
| st.write("Dates (DATE): " + str(entDate)) | |
| st.write("Locations (LOC): " + str(entLoc)) | |
| st.subheader("Original Text with Entities Highlighted") | |
| html = displacy.render(doc, style="ent", options=options) | |
| html = html.replace("\n", " ") | |
| st.write(HTML_WRAPPER.format(html), unsafe_allow_html=True) | |