Optimised inputs using st.form container

app.py

@@ -7,16 +7,20 @@ if __name__ == '__main__':
     st.header("Zero Shot Classification")
     
 
-  
-    sequence = st.text_area(label="Input Sequence")
-    labels = st.text_input('Possible topics (separated by `,`)', max_chars=1000)
+    with st.form(key='my_form'):
+        text_input = st.text_area(label="Input Sequence")
+        labels = st.text_input('Possible topics (separated by `,`)', max_chars=1000)
+        submit_button = st.form_submit_button(label='Submit')
+
+   
     labels = list(set([x.strip() for x in labels.strip().split(',') if len(x.strip()) > 0]))
-    if len(labels) == 0 or len(sequence) == 0:
-        st.write('Enter some text and at least one possible topic to see predictions.')
+    
 
     multi_class = st.checkbox('Allow multiple correct topics', value=True)
     
-    with st.spinner('Classifying...'):
-      top_topics, scores = classifier_zero(classifier,sequence=sequence,labels=labels,multi_class=multi_class)
-      plot_result(top_topics[::-1][-10:], scores[::-1][-10:])
+    if st.button("Predict"):
+            if len(labels) == 0:
+                st.write('Enter some text and at least one possible topic to see predictions.')
+            top_topics, scores = classifier_zero(classifier,sequence=text_input,labels=labels,multi_class=multi_class)
+            plot_result(top_topics[::-1][-10:], scores[::-1][-10:])