Update app.py

app.py

@@ -43,23 +43,28 @@ def generate_text(input_text, selected_model):
 
 with gr.Blocks() as demo:
     gr.Markdown("## GPT4All Text Generation Experiment")
+
+    with gr.Row():
+        
     
-    model_selection = gr.Dropdown(choices=model_choices(), 
-                                 multiselect=False, 
-                                 label="LLMs to choose from", 
-                                 type="value", 
-                                 value="orca-mini-3b-gguf2-q4_0.gguf")
-    
-    explanation = gr.Textbox(label="Model Description", lines=3, interactive=False, value=llm_intro("orca-mini-3b-gguf2-q4_0.gguf"))
+        model_selection = gr.Dropdown(choices=model_choices(), 
+                                     multiselect=False, 
+                                     label="LLMs to choose from", 
+                                     type="value", 
+                                     value="orca-mini-3b-gguf2-q4_0.gguf")
     
-    # Link the dropdown with the textbox to update the description based on the selected model
-    model_selection.change(fn=llm_intro, inputs=model_selection, outputs=explanation)
+        explanation = gr.Textbox(label="Model Description", lines=3, interactive=False, value=llm_intro("orca-mini-3b-gguf2-q4_0.gguf"))
     
-    input_text = gr.Textbox(lines=10, label="Input Text")
-    output_text = gr.Textbox(lines=10, label="Generated Text")
+        # Link the dropdown with the textbox to update the description based on the selected model
+        model_selection.change(fn=llm_intro, inputs=model_selection, outputs=explanation)
+
+    with gr.Row():
     
-    # Button to generate text
-    generate_btn = gr.Button("Generate")
-    generate_btn.click(fn=generate_text, inputs=[input_text, model_selection], outputs=output_text)
+        input_text = gr.Textbox(lines=10, label="Input Text")
+        output_text = gr.Textbox(lines=10, label="Generated Text")
+        
+        # Button to generate text
+        generate_btn = gr.Button("Generate")
+        generate_btn.click(fn=generate_text, inputs=[input_text, model_selection], outputs=output_text)
 
 demo.launch()