Update app.py

app.py

@@ -1,5 +1,17 @@
-from transformers import AutoTokenizer, T5ForConditionalGeneration
+import streamlit as st
+from transformers import pipeline
 
-model_name = "google/tapas-base-finetuned-wtq" # you can specify the model size here
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = T5ForConditionalGeneration.from_pretrained(model_name)
+classifier = pipeline("text2text-generation", model="google/tapas-base-finetuned-wtq")
+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()