Update app.py

app.py

@@ -4,6 +4,20 @@ model_name = "deepset/roberta-base-squad2"
 
 # a) Get predictions
 nlp = pipeline('question-answering', model=model_name, tokenizer=model_name)
+def main():
+    st.title("English to German")
+
+    with st.form("text_field"):
+        text = st.text_area('enter some english word:')
+        # clicked==True only when the button is clicked
+        clicked = st.form_submit_button("Submit")
+        if clicked:
+          results = classifier([text])
+          st.json(results)
+
+if __name__ == "__main__":
+    main()
+
 QA_input = {
     'question': 'Why is model conversion important?',
     'context': 'The option to convert models between FARM and transformers gives freedom to the user and let people easily switch between frameworks.'
@@ -12,4 +26,4 @@ res = nlp(QA_input)
 
 # b) Load model & tokenizer
 model = AutoModelForQuestionAnswering.from_pretrained(model_name)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)