app.py

import streamlit as st
from transformers import pipeline

pipe = pipeline('sentiment-analysis')
text= st.text_area('enter some text')

if st.button('Submit'):
    if text:
        out = pipe(text)
        st.write(out)

# import streamlit as st
# from diffusers import DiffusionPipeline

# # Load the stable-diffusion-2-1 model from diffusers
# pipeline = DiffusionPipeline.from_pretrained("stabilityai/sd-turbo")

# # Get input text from the user
# text_input = st.text_area('Enter some text')

# # Add a submit button
# if st.button('Generate Image'):
#     if text_input:
#         try:
#             # Generate the image using the model
#             generated_image = pipeline(text_input)

#             # Display the generated image
#             st.image(generated_image, caption='Generated Image', use_column_width=True)
#         except Exception as e:
#             st.error(f"An error occurred: {e}")