Update app.py

app.py

@@ -17,7 +17,7 @@ def upload_images(image_paths):
   for i in range(len(image_paths)):
     df.loc[i] = [str(i+1), image_paths[i].split("/")[-1], predict(image_paths[i])]
     docs.append([str(i+1), image_paths[i].split("/")[-1], predict(image_paths[i])])
-  return [df, gr.Button(visible=True), gr.DownloadButton(label="Download report", visible=True)]
+  return [df, gr.Button(visible=True), gr.DownloadButton(visible=True), gr.DownloadButton(visible=False)]
 
 # Function to preprocess image and predict
 def predict(image_path):
@@ -53,7 +53,7 @@ with gr.Blocks() as demo:
         f = gr.File(file_count="multiple", file_types=[".jpg", ".jpeg", ".png", ".bmp", ".tif", ".tiff"])
         u = gr.Button("Upload files", visible=True)
         d1 = gr.DownloadButton("Generate report", visible=True)
-        d2 = gr.DownloadButton("download report", visible=False)
+        d2 = gr.DownloadButton("Download report", visible=False)
     r = gr.DataFrame(headers=["Index", "File", "Result"])
 
     u.click(upload_images, f, [r, u, d1])