Clean code

app.py

@@ -526,45 +526,45 @@ with gr.Blocks() as demo:
             clear.click(lambda: None, None, chatbot, queue=False)
 
 
-        with gr.Tab("AI Code Documentation"):
-
-            repoName = repo_name.value
-            # First parse through the folder structure and store that as a list of clickable buttons
-            gr.Markdown("""
-                ## AI Generated Code Documentation
-                Code documentation comes in 3 flavors - internal engineering, external API documentation and product documentation.  Each offers different layers of abstraction over the code base.
-            """)
-
-            #   docs = generateDocumentationPerFolder("overview", repo_name)
-
-            # For now let's just display all of the docs in one big file
-            allDocs = ""
-            dirNames = generateFolderNamesForRepo(repoName[:-4])
-            for dir in dirNames:
-                if dir[0] != ".":
-                    allDocs += generateDocumentationPerFolder(dir, repoName[:-4]) + '\n\n'
-
-            gr.Markdown(allDocs)
-
-            def button_click_callback(markdown):
-                docs = generateDocumentationPerFolder("overview", repoName[:-4])
-                markdown.update(docs)
-
-            markdown = gr.Markdown()
-            # Generate the left column buttons and their names and wrap each one in a function
-            with gr.Row():
-                with gr.Column(scale=.5, min_width=300):
-                    dirNames = generateFolderNamesForRepo(repoName[:-4])
-                    buttons = [gr.Button(folder_name) for folder_name in dirNames]
-                    for btn, folder_name in zip(buttons, dirNames):
-                        btn.click(button_click_callback, [markdown], [markdown] )
-
-
-                # Generate the overall documentation for the main bubble at the same time
-                with gr.Column(scale=2, min_width=300):
-                    docs = generateDocumentationPerFolder("overview", repoName[:-4])
-                    markdown.update(docs)
-                    # markdown.render()
+        # with gr.Tab("AI Code Documentation"):
+
+        #     repoName = repo_name.value
+        #     # First parse through the folder structure and store that as a list of clickable buttons
+        #     gr.Markdown("""
+        #         ## AI Generated Code Documentation
+        #         Code documentation comes in 3 flavors - internal engineering, external API documentation and product documentation.  Each offers different layers of abstraction over the code base.
+        #     """)
+
+        #     #   docs = generateDocumentationPerFolder("overview", repo_name)
+
+        #     # For now let's just display all of the docs in one big file
+        #     allDocs = ""
+        #     dirNames = generateFolderNamesForRepo(repoName[:-4])
+        #     for dir in dirNames:
+        #         if dir[0] != ".":
+        #             allDocs += generateDocumentationPerFolder(dir, repoName[:-4]) + '\n\n'
+
+        #     gr.Markdown(allDocs)
+
+        #     def button_click_callback(markdown):
+        #         docs = generateDocumentationPerFolder("overview", repoName[:-4])
+        #         markdown.update(docs)
+
+        #     markdown = gr.Markdown()
+        #     # Generate the left column buttons and their names and wrap each one in a function
+        #     with gr.Row():
+        #         with gr.Column(scale=.5, min_width=300):
+        #             dirNames = generateFolderNamesForRepo(repoName[:-4])
+        #             buttons = [gr.Button(folder_name) for folder_name in dirNames]
+        #             for btn, folder_name in zip(buttons, dirNames):
+        #                 btn.click(button_click_callback, [markdown], [markdown] )
+
+
+        #         # Generate the overall documentation for the main bubble at the same time
+        #         with gr.Column(scale=2, min_width=300):
+        #             docs = generateDocumentationPerFolder("overview", repoName[:-4])
+        #             markdown.update(docs)
+        #             # markdown.render()
 
 
         with gr.Tab("Custom Model Finetuning"):