Update app.py

app.py

@@ -45,79 +45,79 @@ def process_command(command, ddddd):
 #                    value="aws")
 
 # Create Gradio interface with tabs
-with gr.Blocks(theme=gr.themes.Soft()) as operand:
+# with gr.Blocks(theme=gr.themes.Soft()) as operand:
     
-    gr.Markdown("# operand")
-    gr.Markdown("No-code Data Automation Studio<br><br>")
+#     gr.Markdown("# operand")
+#     gr.Markdown("No-code Data Automation Studio<br><br>")
     
-    with gr.Tab("Source"):
+#     with gr.Tab("Source"):
         
-        gr.Markdown("## Data Sources")
-        gr.Markdown("Instances of data sources e.g., Jira Cloud endpoint, Trello endpoint, Github endpoint")
+#         gr.Markdown("## Data Sources")
+#         gr.Markdown("Instances of data sources e.g., Jira Cloud endpoint, Trello endpoint, Github endpoint")
 
-        textbox_a = gr.Textbox(label='Command')
-        output_a = gr.Textbox(label='Output')
-        button_a = gr.Button("Submit")
-        button_a.click(process_command, inputs=[textbox_a], outputs=output_a)
+#         textbox_a = gr.Textbox(label='Command')
+#         output_a = gr.Textbox(label='Output')
+#         button_a = gr.Button("Submit")
+#         button_a.click(process_command, inputs=[textbox_a], outputs=output_a)
 
-        with gr.Accordion("Syntax"):
-            gr.Markdown("<br>data_source my-ds-name1 my-ds-desc1 my-jira-endpoint1 my-jira-creds1")
+#         with gr.Accordion("Syntax"):
+#             gr.Markdown("<br>data_source my-ds-name1 my-ds-desc1 my-jira-endpoint1 my-jira-creds1")
     
-    with gr.Tab("Set"):
-        gr.Markdown("## Data Sets")
-        gr.Markdown("A data set from a data source.")
-        textbox_b = gr.Textbox(label='Command')
-        output_b = gr.Textbox(label='Output')
-        button_b = gr.Button("Submit")
-        button_b.click(process_command, inputs=[textbox_b], outputs=output_b)
+#     with gr.Tab("Set"):
+#         gr.Markdown("## Data Sets")
+#         gr.Markdown("A data set from a data source.")
+#         textbox_b = gr.Textbox(label='Command')
+#         output_b = gr.Textbox(label='Output')
+#         button_b = gr.Button("Submit")
+#         button_b.click(process_command, inputs=[textbox_b], outputs=output_b)
     
-    with gr.Tab("Transform"):
-        gr.Markdown("## Data Transforms")
-        gr.Markdown("A transformation of a data set into a new data set.")
-        textbox_c = gr.Textbox(label='Command')
-        output_c = gr.Textbox(label='Output')
-        button_c = gr.Button("Submit")
-        button_c.click(process_command, inputs=[textbox_c], outputs=output_c)
+#     with gr.Tab("Transform"):
+#         gr.Markdown("## Data Transforms")
+#         gr.Markdown("A transformation of a data set into a new data set.")
+#         textbox_c = gr.Textbox(label='Command')
+#         output_c = gr.Textbox(label='Output')
+#         button_c = gr.Button("Submit")
+#         button_c.click(process_command, inputs=[textbox_c], outputs=output_c)
 
-    with gr.Tab("Analysis"):
-        gr.Markdown("## Data Analyses")
-        gr.Markdown("Statistical analysis of a data set e.g., slope calculation on feature")
-        textbox_d = gr.Textbox(label='Command')
-        output_d = gr.Textbox(label='Output')
-        button_d = gr.Button("Submit")
-        button_d.click(process_command, inputs=[textbox_d], outputs=output_d)
+#     with gr.Tab("Analysis"):
+#         gr.Markdown("## Data Analyses")
+#         gr.Markdown("Statistical analysis of a data set e.g., slope calculation on feature")
+#         textbox_d = gr.Textbox(label='Command')
+#         output_d = gr.Textbox(label='Output')
+#         button_d = gr.Button("Submit")
+#         button_d.click(process_command, inputs=[textbox_d], outputs=output_d)
 
-    with gr.Tab("Visualization"):
-        gr.Markdown("## Data Visualizations")
-        gr.Markdown("A visual insight from a data set or data analysis results e.g., matplotlib, sns, plotly")
-        textbox_e = gr.Textbox(label='Command')
-        output_e = gr.Textbox(label='Output')
-        button_e = gr.Button("Submit")
-        button_e.click(process_command, inputs=[textbox_e], outputs=output_e)
+#     with gr.Tab("Visualization"):
+#         gr.Markdown("## Data Visualizations")
+#         gr.Markdown("A visual insight from a data set or data analysis results e.g., matplotlib, sns, plotly")
+#         textbox_e = gr.Textbox(label='Command')
+#         output_e = gr.Textbox(label='Output')
+#         button_e = gr.Button("Submit")
+#         button_e.click(process_command, inputs=[textbox_e], outputs=output_e)
 
-    with gr.Tab("Notification"):
-        gr.Markdown("## Notifications")
-        gr.Markdown("Scheduled transmission of data set, data analysis or data visualization direct to user device")
-        textbox_f = gr.Textbox(label='Command')
-        output_f = gr.Textbox(label='Output')
-        button_f = gr.Button("Submit")
-        button_f.click(process_command, inputs=[textbox_f], outputs=output_f)
+#     with gr.Tab("Notification"):
+#         gr.Markdown("## Notifications")
+#         gr.Markdown("Scheduled transmission of data set, data analysis or data visualization direct to user device")
+#         textbox_f = gr.Textbox(label='Command')
+#         output_f = gr.Textbox(label='Output')
+#         button_f = gr.Button("Submit")
+#         button_f.click(process_command, inputs=[textbox_f], outputs=output_f)
 
-    with gr.Tab("Automation"):
-        gr.Markdown("## Automation")
-        gr.Markdown("Multistep composition of functional elements")
-        textbox_g = gr.Textbox(label='Command')
-        output_g = gr.Textbox(label='Output')
-        button_g = gr.Button("Submit")
-        button_g.click(process_command, inputs=[textbox_g], outputs=output_g)
+#     with gr.Tab("Automation"):
+#         gr.Markdown("## Automation")
+#         gr.Markdown("Multistep composition of functional elements")
+#         textbox_g = gr.Textbox(label='Command')
+#         output_g = gr.Textbox(label='Output')
+#         button_g = gr.Button("Submit")
+#         button_g.click(process_command, inputs=[textbox_g], outputs=output_g)
         
 # For the inputs parameter of Interface provide [textbox,company] with outputs parameter of Interface provide prediction
-# demo = gr.Interface(fn=dprocess,
-#                     inputs=[textbox],
-#                     outputs="text",
-#                     title="operand",
-#                     description="Data Workbench CLI",
-#                     theme=gr.themes.Soft())
+operand = gr.Interface(fn=dprocess,
+                    inputs=[textbox],
+                    outputs="text",
+                    title="operand",
+                    description="Data Workbench CLI",
+                    theme=gr.themes.Soft())
 
 operand.queue()
 operand.launch()