Update app.py

app.py

@@ -7,7 +7,7 @@ from spacy import displacy
 nlp = en_pipeline.load()
 
 # Display a section header:
-st.header("Dependency visualizer")
+st.header("PII-Redaction")
 
 # adding the text that will show in the text box as default
 default_value = '''While traveling through New York, Emily received an email from her bank at emily.brown@example.com informing her about a suspicious activity on her credit card number 4532-8291-1283-9427. She quickly noted down the IP address 192.168.1.1 from which the transaction was attempted. Concerned, she called her bank at (800) 555-1234 and provided her US bank account number 1234567890123456 to verify her identity.
@@ -28,19 +28,26 @@ During the journey, they planned to visit several locations including Los Angele
 
 For added security, she enabled two-factor authentication on all her accounts and noted down her backup email, emily.backup@example.org, in case she needed to recover any information.'''
 
-input_text = st.text_input("Text", default_value)
-doc = nlp(input_text)
-
-# # Display a section header:
-# st.header("Dependency visualizer")`
-# # style="dep" indicates dependencies should be generated.
-# dep_svg = displacy.render(doc, style=”dep, jupyter=False)
-# st.image(dep_svg, width=400, use_column_width=’never’)
-
-# Add a section header:
-st.header("Entity visualizer")
-# Take the text from the input field and render the entity html.
-# Note that style="ent" indicates entities.
-ent_html = displacy.render(doc, style="ent", jupyter=False)
-# Display the entity visualization in the browser:
-st.markdown(ent_html, unsafe_allow_html=True)
+
+form = st.form(key='my-form')
+input_text = form.text_input("Enter your text...", default_value)
+submit = form.form_submit_button('Submit')
+
+st.divider()
+
+if submit:
+    doc = nlp(input_text)
+    
+    # # Display a section header:
+    # st.header("Dependency visualizer")`
+    # # style="dep" indicates dependencies should be generated.
+    # dep_svg = displacy.render(doc, style=”dep, jupyter=False)
+    # st.image(dep_svg, width=400, use_column_width=’never’)
+    
+    # Add a section header:
+    st.header("Entity visualizer")
+    # Take the text from the input field and render the entity html.
+    # Note that style="ent" indicates entities.
+    ent_html = displacy.render(doc, style="ent", jupyter=False)
+    # Display the entity visualization in the browser:
+    st.markdown(ent_html, unsafe_allow_html=True)