Update app.py

app.py

@@ -16,12 +16,13 @@ from huggan.pytorch.cyclegan.modeling_cyclegan import GeneratorResNet
 from torchvision import transforms as T
 from torchvision.transforms import Compose, Resize, ToTensor, Normalize, RandomCrop, RandomHorizontalFlip
 from torchvision.utils import make_grid
+import requests
 
 hfapi = HfApi()
 model_names = [model.modelId[model.modelId.index("/") + 1:] for model in hfapi.list_models(author="huggingnft")]
 
 # streamlit-option-menu
-# st.set_page_config(page_title="Sharone's Streamlit App Gallery", page_icon="", layout="wide")
+# st.set_page_config(page_title="Streamlit App Gallery", page_icon="", layout="wide")
 
 # sysmenu = '''
 # <style>
@@ -116,8 +117,9 @@ st.sidebar.markdown(
 )
 
 if choose == "About":
-    st.title(choose)
-    st.markdown(ABOUT_TEXT)
+    README = requests.get("https://raw.githubusercontent.com/AlekseyKorshuk/huggingnft/main/README.md").text
+    # st.title(choose)
+    st.markdown(README)
 
 if choose == "Contact":
     st.title(choose)
@@ -225,7 +227,6 @@ if choose == "Collection2Collection":
             Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
         ])
 
-        # generator = modeling_dcgan.Generator.from_pretrained("huggingnft/cryptopunks")
         with st.spinner(text=f"Downloading selected model..."):
             translator = GeneratorResNet.from_pretrained(f'huggingnft/{model_name}',
                                                          input_shape=(n_channels, image_size, image_size),