Update app.py

app.py

@@ -61,12 +61,12 @@ if st.session_state['upload_count'] < max_attempts:
         text_data = ""
         for page in pdf_reader.pages:
             text_data += page.extract_text()
-            st.text_area("Applicant's 1 resume", value = text_data, height = 300)
+            st.text_area("Applicant's 1 resume", value = text_data, height = 300, key = "text 2")
             data = pd.Series(text_data, name='Text')
             frames = [job, data]
             result = pd.concat(frames)
             model = GLiNER.from_pretrained("urchade/gliner_base")
-            labels = ["person", "country", "organization", "role", "skills", "year"]
+            labels = ["person", "country", "organization", "role", "skills"]
             entities = model.predict_entities(text_data, labels)
             df = pd.DataFrame(entities)