download button

main.py

@@ -230,6 +230,10 @@ def predict(pdb_code, pdb_file, topN):
     allow-top-navigation-by-user-activation allow-downloads" allowfullscreen="" 
     allowpaymentrequest="" frameborder="0" srcdoc='{x}'></iframe>""", pd.DataFrame(data, columns=['index','element','x','y','z','Adaptability'])
 
+def export_csv(d):
+    d.to_csv("adaptabilities.csv")
+    return gr.File.update(value="adaptabilities.csv", visible=True)
+
 
 callback = gr.CSVLogger()
 
@@ -253,11 +257,18 @@ def run():
         single_btn = gr.Button(label="Run")
         with gr.Row():
             html = gr.HTML()
+        with gr.Row():
+            Dbutton = gr.Button("Download adaptability values")
+            csv = gr.File(interactive=False, visible=False)
         with gr.Row():
             dataframe = gr.Dataframe()
                 
         single_btn.click(fn=predict, inputs=[inp, pdb_file, topN], outputs=[html, dataframe])
 
+        Dbutton.click(export_csv, dataframe, csv)
+
+        
+
 
     demo.launch(server_name="0.0.0.0", server_port=7860)
 

mock_download.py

@@ -0,0 +1,23 @@
+import gradio as gr
+
+def mock_ocr(f):
+    return [[1, 2, 3], [4, 5, 6]]
+
+def export_csv(d):
+    d.to_csv("output.csv")
+    return gr.File.update(value="output.csv", visible=True)
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        file = gr.File(label="PDF file", file_types=[".pdf"])
+        dataframe = gr.Dataframe()
+        
+        with gr.Column():
+            button = gr.Button("Export")
+            csv = gr.File(interactive=False, visible=False)
+            
+            
+    file.change(mock_ocr, file, dataframe)
+    button.click(export_csv, dataframe, csv)
+        
+demo.launch()