Text_Generator / app.py
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import torch
import streamlit as st
from transformers import pipeline
title="Text Generator"
classifier = pipeline(task="sentiment-analysis",
model="distilbert-base-uncased-finetuned-sst-2-english")
def main():
st.title(title)
with st.form("questionaire"):
prompt1 = st.text_input("your text")
clicked = st.form_submit_button("Generate image")
if clicked:
results=classifier(prompt1)
st.text(results)
if __name__=='__main__':
main()