Update app.py

app.py

@@ -25,7 +25,7 @@ scheduler = CommitScheduler(
     every=2
 )
 
-def dprocess(command, ddddd):
+def process_command(command, ddddd):
     print('foo...')
     with scheduler.lock:
         with log_file.open("a") as f:
@@ -52,7 +52,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as operand:
 
     with gr.Tab("Data Sources"):
         
-        gr.Markdown("## Data Sources")
+        gr.Markdown("## Source")
         
         with gr.Accordion("Syntax"):
             gr.Markdown("<br>data_source my-ds-name1 my-ds-desc1 my-jira-endpoint1 my-jira-creds1")
@@ -64,7 +64,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as operand:
         button_a = gr.Button("Submit")
         button_a.click(dprocess, inputs=[textbox_a], outputs=output_a)
     
-    with gr.Tab("Data Sets"):
+    with gr.Tab("Set"):
         gr.Markdown("## Data Set")
         gr.Markdown("A data set from a data source.")
         textbox_b = gr.Textbox(label='Command')
@@ -72,7 +72,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as operand:
         button_b = gr.Button("Submit")
         button_b.click(dprocess, inputs=[textbox_b], outputs=output_b)
     
-    with gr.Tab("Data Transforms"):
+    with gr.Tab("Transform"):
         gr.Markdown("## Data Transform")
         gr.Markdown("A transformation of a data set into a new data set.")
         textbox_c = gr.Textbox(label='Command')
@@ -80,7 +80,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as operand:
         button_c = gr.Button("Submit")
         button_c.click(dprocess, inputs=[textbox_c], outputs=output_c)
 
-    with gr.Tab("Data Analyses"):
+    with gr.Tab("Analysis"):
         gr.Markdown("## Data Analysis")
         gr.Markdown("Statistical analysis of a data set e.g., slope calculation on feature")
         textbox_d = gr.Textbox(label='Command')
@@ -88,29 +88,29 @@ with gr.Blocks(theme=gr.themes.Soft()) as operand:
         button_d = gr.Button("Submit")
         button_d.click(dprocess, inputs=[textbox_d], outputs=output_d)
 
-    with gr.Tab("Data Visualizations"):
+    with gr.Tab("Visualization"):
         gr.Markdown("## Data Visualization")
         gr.Markdown("A visual insight from a data set or data analysis results e.g., matplotlib, sns, plotly")
-        textbox_c = gr.Textbox(label='Command')
-        output_c = gr.Textbox(label='Output')
-        button_c = gr.Button("Submit")
-        button_c.click(dprocess, inputs=[textbox_c], outputs=output_c)
+        textbox_e = gr.Textbox(label='Command')
+        output_e = gr.Textbox(label='Output')
+        button_e = gr.Button("Submit")
+        button_e.click(dprocess, inputs=[textbox_e], outputs=output_e)
 
-    with gr.Tab("Notifications"):
+    with gr.Tab("Notification"):
         gr.Markdown("## Notifications")
         gr.Markdown("Scheduled transmission of data set, data analysis or data visualization direct to user device")
-        textbox_c = gr.Textbox(label='Command')
-        output_c = gr.Textbox(label='Output')
-        button_c = gr.Button("Submit")
-        button_c.click(dprocess, inputs=[textbox_c], outputs=output_c)
+        textbox_f = gr.Textbox(label='Command')
+        output_f = gr.Textbox(label='Output')
+        button_f = gr.Button("Submit")
+        button_f.click(dprocess, inputs=[textbox_f], outputs=output_f)
 
-    with gr.Tab("Automations"):
+    with gr.Tab("Automation"):
         gr.Markdown("## Automation")
         gr.Markdown("Multistep composition of functional elements")
-        textbox_c = gr.Textbox(label='Command')
-        output_c = gr.Textbox(label='Output')
-        button_c = gr.Button("Submit")
-        button_c.click(dprocess, inputs=[textbox_c], outputs=output_c)
+        textbox_g = gr.Textbox(label='Command')
+        output_g = gr.Textbox(label='Output')
+        button_g = gr.Button("Submit")
+        button_g.click(dprocess, 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,
@@ -120,6 +120,5 @@ with gr.Blocks(theme=gr.themes.Soft()) as operand:
 #                     description="Data Workbench CLI",
 #                     theme=gr.themes.Soft())
 
-
 operand.queue()
 operand.launch()