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artificial-intelligence-resume-analysis-app1
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1 Parent(s): 941a6a8

Update app.py

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  1. app.py +2 -2
app.py CHANGED
@@ -39,7 +39,7 @@ uploaded_files = st.file_uploader(
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  all_resumes_text = [] # Store the text content and entities of each PDF
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  if uploaded_files:
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- model = pipeline("ner", model="urchade/gliner_base", aggregation_strategy="simple")
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  labels = ["person", "country", "organization", "time", "role"]
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  for uploaded_file in uploaded_files:
@@ -96,7 +96,7 @@ uploaded_files = st.file_uploader(
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  all_resumes_text = [] # Store the text content and entities of each PDF
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  if uploaded_files:
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- model = pipeline("ner", model="urchade/gliner_base", aggregation_strategy="simple")
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  labels = ["person", "country", "organization", "time", "role"]
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  for uploaded_file in uploaded_files:
 
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  all_resumes_text = [] # Store the text content and entities of each PDF
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  if uploaded_files:
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+ model = GLiNER.from_pretrained("urchade/gliner_base")
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  labels = ["person", "country", "organization", "time", "role"]
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  for uploaded_file in uploaded_files:
 
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  all_resumes_text = [] # Store the text content and entities of each PDF
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  if uploaded_files:
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+ model = GLiNER.from_pretrained("urchade/gliner_base")
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  labels = ["person", "country", "organization", "time", "role"]
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  for uploaded_file in uploaded_files: