add lgoo

app.py

@@ -10,9 +10,24 @@ import jax
 
 # st.header('Under construction')
 
-st.sidebar.write("")
-st.title("CLIP React Demo")
-st.write("Search Reaction GIFs with CLIP [Model Card](https://huggingface.co/flax-community/clip-reply)")
+
+
+
+        
+st.sidebar.title("CLIP React Demo")
+st.sidebar.write("Search Reaction GIFs with CLIP [Model Card](https://huggingface.co/flax-community/clip-reply)")
+st.sidebar.image("./huggingface_explode3.png",width=150)
+
+
+top_k=st.sidebar.slider("Show top-K", min_value=1, max_value=50, value=20)
+
+show_val=st.sidebar.button("show all validation set images")
+if show_val:
+    cols=st.sidebar.beta_columns(col_count)
+    for i,im in enumerate(file_names):
+        j=i%col_count
+        cols[j].image("./imgs/"+im)
+
 st.write("    ")
 st.write("    ")
 @st.cache(allow_output_mutation=True)
@@ -36,14 +51,7 @@ image_index = load_image_index()
 model, processor = load_model()
 
 col_count=4
-top_k=st.sidebar.slider("Show top-K", min_value=1, max_value=50, value=20)
 
-show_val=st.sidebar.button("show all validation set images")
-if show_val:
-    cols=st.sidebar.beta_columns(col_count)
-    for i,im in enumerate(file_names):
-        j=i%col_count
-        cols[j].image("./imgs/"+im)
 
 # TODO
 def add_image_emb(image):
@@ -73,17 +81,8 @@ def query_with_images(query_images,query_text):
 
 q_cols=st.beta_columns([5,2,5])    
 
-q_cols[0].markdown(
-"""
-    Example Queries : 
-
-     - I'm so scared right now
-     - I got the job 🎉
-     - OMG that is disgusting 
-     - I'm awesome
-    
-"""
-)
+examples = ["I'm so scared right now"," I got the job 🎉","OMG that is disgusting","I'm awesome","I love you ❤️"]
+example_input = q_cols[0].radio("Example Queries :",examples,index=4)
 q_cols[2].markdown(
     """   
     Searches among the validation set images if not specified
@@ -93,7 +92,7 @@ q_cols[2].markdown(
 """
 )
 
-query_text = q_cols[0].text_input("Input text you want to get reaction for", value="I love you ❤️")
+query_text = q_cols[0].text_input("Write text you want to get reaction for", value=example_input)
 query_images = q_cols[2].file_uploader("(optional) Upload images to rank them",type=['jpg','jpeg'], accept_multiple_files=True)
 
 if query_images: