Update app.py

app.py

@@ -8,6 +8,7 @@ st.write("Input your text here!")
 default_value = "Mike and Anna is skiing"
 sent = st.text_area("Text", default_value, height = 50)
 num_return_sequences = st.sidebar.number_input('Number of Return Sequences', min_value=1, max_value=3, value=1, step=1)
+button_was_clicked = st.sidebar.button("SUBMIT")
 
 ### Run Model
 from transformers import T5ForConditionalGeneration, T5Tokenizer
@@ -23,12 +24,13 @@ def correct_grammar(input_text,num_return_sequences=num_return_sequences):
   return results
   
 ##Prompts
-results = correct_grammar(sent, num_return_sequences)
-
-generated_sequences = []
-for generated_sequence_idx, generated_sequence in enumerate(results):
-    # Decode text
-    text = tokenizer.decode(generated_sequence, clean_up_tokenization_spaces=True, skip_special_tokens=True)
-    generated_sequences.append(text)
-
-st.write(generated_sequences)
+if button_was_clicked and sent:
+  results = correct_grammar(sent, num_return_sequences)
+  
+  generated_sequences = []
+  for generated_sequence_idx, generated_sequence in enumerate(results):
+      # Decode text
+      text = tokenizer.decode(generated_sequence, clean_up_tokenization_spaces=True, skip_special_tokens=True)
+      generated_sequences.append(text)
+  
+  st.write(generated_sequences)