Update app.py

app.py

@@ -39,9 +39,13 @@ import base64
 
 file = open(r'./training(3).gif', 'rb')
 contents = file.read()
-data_url = base64.b64encode(contents).decode('utf-8-sig')
+data_url = base64.b64encode(contents).decode('utf-8')
 file.close()
-st.markdown(f'<img src="data:image/gif;base64,{data_url}>',unsafe_allow_html = True)
+
+st.markdown(
+    f'<img src="data:image/gif;base64,{data_url}" alt="cat gif">',
+    unsafe_allow_html=True,
+)
 
 st.markdown("[NeRF](https://arxiv.org/abs/2003.08934) proposes an ingenious way to synthesize novel views of a scene by modelling the volumetric scene function through a neural network. The network learns to model the volumetric scene, thus generating novel views (images) of the 3D scene that the model was not shown at training time.")
 st.markdown("![](https://github.com/alesteba/training_NeRF/blob/e89da9448b3993117c78532c14c7142970f0d8df/training(3).gif)")
@@ -54,6 +58,7 @@ st.markdown("## Interactive Demo")
 from huggingface_hub import from_pretrained_keras
 nerf_loaded = from_pretrained_keras("Alesteba/NeRF_ficus")
 
+
 # set the values of r theta phi
 r = 4.0
 theta = st.slider("",min_value=0.0, max_value=360.0, label_visibility="hidden")