Test_Lab10 / app.py
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import streamlit as st
from transformers import pipeline
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()