import streamlit as st | |
from diffusers import DiffusionPipeline | |
import torch | |
image_gen = DiffusionPipeline.from_pretrained( | |
"stabilityai/stable-diffusion-2", | |
torch_dtype=torch.float16, | |
use_safetensors=True, | |
variant="fp16" | |
).to("cuda") | |
st.title("Metin Sınıflandırma Uygulaması") | |
user_input = st.text_area("Lütfen analiz edilecek metni girin:") | |
image = image_gen(prompt=user_input).images[0] | |
st.write(image) |