Try markdown in right pane.

app.py

@@ -32,32 +32,20 @@ def gen_show_caption(sub_prompt=None, cap_prompt=""):
             unsafe_allow_html=True,
         )
 
+# st.markdown(footer,unsafe_allow_html=True)
 
 _, center, _ = st.columns([1, 8, 1])
 
-with center:
-    st.title("Image Captioning Demo from RedCaps")
-st.sidebar.markdown(
-    """
-    ### Image Captioning Model from VirTex trained on RedCaps
-    
-    Use this page to caption your own images or try out some of our samples.
-    You can also generate captions as if they are from specific subreddits,
-    as if they start with a particular prompt, or even both.
-    
-    Share your results on twitter with #redcaps or with a friend*.
-    """
-)
-# st.markdown(footer,unsafe_allow_html=True)
-
 with st.spinner("Loading Model"):
     virtexModel, imageLoader, sample_images, valid_subs = create_objects()
 
 
+# ----------------------------------------------------------------------------
+# Populate sidebar.
+# ----------------------------------------------------------------------------
 select_idx = None
 
-st.sidebar.title("Select a sample image")
-
+st.sidebar.title("Select or upload an image")
 if st.sidebar.button("Random Sample Image"):
     select_idx = get_rand_idx(sample_images)
 
@@ -65,27 +53,12 @@ sample_image = sample_images[0 if select_idx is None else select_idx]
 
 
 uploaded_image = None
-# with st.sidebar.form("file-uploader-form", clear_on_submit=True):
 uploaded_file = st.sidebar.file_uploader("Choose a file")
-# submitted = st.form_submit_button("Submit")
-if uploaded_file is not None:  # and submitted:
-    uploaded_image = Image.open(io.BytesIO(uploaded_file.getvalue()))
-    select_idx = None  # set this to help rewrite the cache
-
-# class OnChange():
-#     def __init__(self, idx):
-#         self.idx = idx
 
-#     def __call__(self):
-#         st.write(f"the idx is: {self.idx}")
-#         st.write(f"the sample_image is {sample_image}")
+if uploaded_file is not None:
+    uploaded_image = Image.open(io.BytesIO(uploaded_file.getvalue()))
+    select_idx = None  # Set this to help rewrite the cache
 
-# sample_image = st.sidebar.selectbox(
-#     "",
-#     sample_images,
-#     index = 0 if select_idx is None else select_idx,
-#     on_change=OnChange(0 if select_idx is None else select_idx)
-# )
 
 st.sidebar.title("Select a Subreddit")
 sub = st.sidebar.selectbox(
@@ -99,17 +72,28 @@ cap_prompt = st.sidebar.text_input("Write the start of your caption below", valu
 _ = st.sidebar.button("Regenerate Caption")
 
 
-st.sidebar.write("Advanced Options:")
+st.sidebar.title("Advanced Options:")
 num_captions = st.sidebar.select_slider(
     "Number of Captions to Predict", options=[1, 2, 3, 4, 5], value=1
 )
 nuc_size = st.sidebar.slider(
-    "Nucelus Size:\nLarger values lead to more diverse captions",
+    "Nucleus Size:\nLarger values lead to more diverse captions",
     min_value=0.0,
     max_value=1.0,
     value=0.8,
     step=0.05,
 )
+st.sidebar.markdown(
+    """
+*Please note that this model was explicitly not trained on images of people, and as a result is not designed to caption images with humans.
+
+This demo accompanies our paper RedCaps.
+
+Created by Karan Desai, Gaurav Kaul, Zubin Aysola, Justin Johnson
+    """
+)
+# ----------------------------------------------------------------------------
+
 virtexModel.model.decoder.nucleus_size = nuc_size
 
 image_file = sample_image
@@ -131,21 +115,19 @@ image_dict = imageLoader.transform(image)
 
 show_image = imageLoader.show_resize(image)
 
+
 with center:
-    show = st.image(show_image)
-    show.image(show_image)
+    st.title("Image Captioning with VirTex model trained on RedCaps")
+    st.markdown("""
+    Caption your own images or try out some of our sample images.
+    You can also generate captions as if they are from specific subreddits,
+    as if they start with a particular prompt, or even both.
+
+    Tweet your results with `#redcaps`!
+    """)
+    st.image(show_image)
 
     if sub is None and imageLoader.text_transform(cap_prompt) is not "":
         st.write("Without a specified subreddit we default to /r/pics")
     for i in range(num_captions):
         gen_show_caption(sub, imageLoader.text_transform(cap_prompt))
-
-st.sidebar.markdown(
-    """
-*Please note that this model was explicitly not trained on images of people, and as a result is not designed to caption images with humans.
-
-This demo accompanies our paper RedCaps.
-
-Created by Karan Desai, Gaurav Kaul, Zubin Aysola, Justin Johnson
-    """
-)