Update app.py

app.py

@@ -35,6 +35,12 @@ from PIL import Image
 
 image = Image.open('./training(3).gif')
 
+file = open(r'./training(3).gif', 'rb')
+contents = file.read()
+data_url = base64.b64encode(contents).decode('utf-8-sig')
+file.close()
+st.markdown(f'<img src="data:image/gif;base64,{data_url}>',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)")
 st.image(image, caption='Training Steps')
@@ -48,8 +54,8 @@ 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)
-phi = st.slider(min_value=0.0, max_value=360.0)
+theta = st.slider("",min_value=0.0, max_value=360.0)
+phi = st.slider("", min_value=0.0, max_value=360.0)
 # phi = -30.0
 color, depth = show_rendered_image(r, theta, phi)