saritha5 commited on
Commit
b935e2b
·
1 Parent(s): b310b02

Update app.py

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Files changed (1) hide show
  1. app.py +3 -1
app.py CHANGED
@@ -6,6 +6,7 @@ from spacy_streamlit import visualize_ner
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  import en_core_web_sm
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  NER = spacy.load("en_core_web_sm")
 
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  st.title('Entity Extraction')
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  def prediction(raw_text):
@@ -13,6 +14,7 @@ def prediction(raw_text):
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  st.write("List wise NERs:")
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  st.write("------------------")
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  st.write(f"{'Text' : <10}{'NER' : >10}")
 
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  for word in text1.ents:
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  st.write(word.text,"\t\t",word.label_)
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  print()
@@ -21,7 +23,7 @@ def prediction(raw_text):
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  st.markdown(displacy.render(text1,style="ent"))
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  models = ["en_core_web_sm"]
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- spacy_streamlit.visualize_spans(text1)
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  #visualize_ner(text1, labels=nlp.get_pipe("ner").labels)
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  raw_text = """Ai-Khanoum (/aɪ ˈhɑːnjuːm/, meaning Lady Moon; Uzbek: Oyxonim) is the archaeological site of a Hellenistic city in Takhar Province, Afghanistan.
 
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  import en_core_web_sm
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  NER = spacy.load("en_core_web_sm")
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+ spacy_model = "en_core_web_sm"
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  st.title('Entity Extraction')
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  def prediction(raw_text):
 
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  st.write("List wise NERs:")
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  st.write("------------------")
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  st.write(f"{'Text' : <10}{'NER' : >10}")
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+
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  for word in text1.ents:
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  st.write(word.text,"\t\t",word.label_)
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  print()
 
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  st.markdown(displacy.render(text1,style="ent"))
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  models = ["en_core_web_sm"]
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+ spacy_streamlit.visualize_ner(text1)
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  #visualize_ner(text1, labels=nlp.get_pipe("ner").labels)
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  raw_text = """Ai-Khanoum (/aɪ ˈhɑːnjuːm/, meaning Lady Moon; Uzbek: Oyxonim) is the archaeological site of a Hellenistic city in Takhar Province, Afghanistan.