data

app.py

@@ -112,7 +112,7 @@ def thresh_fn(val):
 
     rgba_img = cmap(preds)
     rgb_img = np.delete(rgba_img, 3, 2)
-    return rgb_img, "Confidence Threshold: " + str(val) + str(np.mean(pred_global)) + str(np.mean(preds))
+    return rgb_img
 
 with gr.Blocks() as demo:
     gr.Markdown(
@@ -123,7 +123,6 @@ with gr.Blocks() as demo:
     with gr.Row():
         inp = gr.Dropdown(label="Taxonomic Hierarchy", choices=["Class", "Order", "Family", "Genus", "Species"])
         out = gr.Dropdown(label="Name", interactive=True)
-        text = gr.Textbox(label="Natural Language Description")
         inp.change(update_fn, inp, out)
     
     with gr.Row():
@@ -136,6 +135,6 @@ with gr.Blocks() as demo:
         pred = gr.Image(label="Predicted Heatmap", visible=True)
     
     check_button.click(text_fn, inputs=[inp, out], outputs=[pred])
-    slider.change(thresh_fn, slider, outputs=[pred,text])
+    slider.change(thresh_fn, slider, outputs=pred)
     
 demo.launch()