hi

app.py

@@ -68,7 +68,7 @@ with gr.Blocks() as demo:
         gr.Markdown("Enter a DNA sequence and the coordinates at which its sample was taken to get a genus prediction. Click 'I'm feeling lucky' to see a prediction for a random sequence.")
 
         # Collect inputs for app (DNA and location)
-        with gr.row():
+        with gr.Row():
             with gr.Column():
                 inp_dna = gr.Textbox(label="DNA", placeholder="e.g. AACAATGTA... (min 200 and max 660 characters)")
 
@@ -79,7 +79,7 @@ with gr.Blocks() as demo:
                     inp_lng = gr.Textbox(label="Longitude", placeholder="e.g. -58.68281")
 
         with gr.Row():
-            btn_run = gr.Button("Run")
+            btn_run = gr.Button("Predict")
 
             btn_defaults = gr.Button("I'm feeling lucky")
             btn_defaults.click(fn=set_default_inputs, outputs=[inp_dna, inp_lat, inp_lng])
@@ -91,10 +91,10 @@ with gr.Blocks() as demo:
             genus_out = gr.Dataframe(headers=["DNA Only Pred Genus", "DNA Only Prob", "DNA & Env Pred Genus", "DNA & Env Prob"])
             btn_run.click(fn=predict_genus, inputs=[inp_dna, inp_lat, inp_lng], outputs=genus_out)
     
-    with gr.Tab('DNA Embedding Space Similarity Visualizer'):
+    with gr.Tab('DNA Embedding Space Visualizer'):
         gr.Markdown("If the highest genus probability is very low for your DNA sequence, we can still examine the DNA embedding of the sequence in relation to known samples for clues.")
-        
-        with gr.Row():
+
+        with gr.Row() as row:
             with gr.Column():
                 gr.Markdown("Plot of your DNA sequence among other known species clusters.")