Update app.py

app.py

@@ -100,6 +100,7 @@ for i in range(1, 51):  # Looping for 50 applicants
 
 st.divider()
 st.subheader("Visualise", divider="blue")
+model = SentenceTransformer("all-mpnet-base-v2")
 
 if 'upload_count' not in st.session_state:
     st.session_state['upload_count'] = 0
@@ -119,9 +120,9 @@ if st.session_state['upload_count'] < max_attempts:
             data = pd.Series([text_data], name='Text')        # Ensure text_data is also a Series
             frames = [job_desc_series, data]
             result = pd.concat(frames, ignore_index=True)  # Concatenate along rows, reset index
-            model = GLiNER.from_pretrained("urchade/gliner_base")
+            model1 = GLiNER.from_pretrained("urchade/gliner_base")
             labels = ["person", "country", "organization", "role", "skills"]
-            entities = model.predict_entities(text_data, labels)
+            entities = model1.predict_entities(text_data, labels)
             df = pd.DataFrame(entities)
             st.subheader("Applicant's Profile", divider = "orange")
             fig = px.treemap(entities, path=[px.Constant("all"), 'text', 'label'],