Update to use tabs.

app.py

@@ -57,10 +57,7 @@ def generate_repo(url, api_key, model, output_format):
         #     except:
         #         return "The API key either does not have access to GPT-4 or is not valid."
         readme_contents = process_repository(url, model)
-        if output_format == "Rendered Markdown":
-            return readme_contents, None
-        else:
-            return None, readme_contents
+        return readme_contents
     else:
         return "Please add a valid OpenAI API Key (you can get them [here](https://platform.openai.com/account/api-keys))"
 
@@ -87,17 +84,22 @@ with gr.Blocks(css=css_style) as demo:
             label="OpenAI API Key", placeholder="sk-...", type="password")
     url = gr.Textbox(label="GitHub Repository URL")
     model = gr.Dropdown(["gpt-3.5-turbo", "gpt-4"], type="value", label='Model Type')
-    output_format = gr.Radio(choices=["Rendered Markdown", "Plain Markdown"], label="Output Format", value="Rendered Markdown")
-    output_md = gr.Markdown(label="Rendered README.md", visible=False)
-    output_text = gr.Text(label="Plain Markdown README.md", visible=False)
+    output_md = gr.Markdown()
+    output_text = gr.Text()
     btn = gr.Button("Generate README.md")
 
-    def update_output(*args):
-        md_content, text_content = generate_repo(*args)
-        output_md.update(value=md_content, visible=md_content is not None)
-        output_text.update(value=text_content, visible=text_content is not None)
+    def update_output(url, api_key, model):
+        content = generate_repo(url, api_key, model)
+        output_md.update(value=content)
+        output_text.update(value=content)
+
+    btn.click(fn=update_output, inputs=[url, openai_api_key, model], outputs=[])
 
-    btn.click(fn=update_output, inputs=[url, openai_api_key, model, output_format], outputs=[output_md, output_text])
+    with gr.Tabs() as tabs:
+        with gr.TabItem("Rendered Markdown"):
+            output_md
+        with gr.TabItem("Plain Markdown"):
+            output_text
     
 
 demo.queue(concurrency_count=20)