Update app.py

app.py

@@ -2,6 +2,9 @@ import gradio as gr
 
 from llavamed_inference_openvino import run_inference_image
 
+css = """
+.text textarea {font-size: 24px !important}
+"""
 
 def process_inputs(image, question):
     if image is None:
@@ -15,20 +18,22 @@ def reset_inputs():
     return None, "", ""
 
 
-with gr.Blocks() as demo:
-    gr.Markdown("## LLaVA-Med 1.5 OpenVINO Demo")
+with gr.Blocks(css=css) as demo:
+    gr.Markdown("# LLaVA-Med 1.5 OpenVINO Demo")
 
-    with gr.Row():
-        image_input = gr.Image(type="pil", label="Upload an Image")
-        text_input = gr.Textbox(label="Enter a Question")
+    image_input = gr.Image(type="pil", label="Upload an Image", height=600, width=1000)
+    text_input = gr.Textbox(label="Enter a Question", elem_classes="text")
 
-    output_text = gr.Textbox(label="Output", interactive=False)
+    output_text = gr.Textbox(label="Output", interactive=False, elem_classes="text")
 
     with gr.Row():
         process_button = gr.Button("Process")
         reset_button = gr.Button("Reset")
+
+    gr.Markdown("NOTE: This OpenVINO model is unvalidated. Results are provisional and may contain errors. Use this demo to explore AI PC and OpenVINO optimizations")
+    gr.Markdown("Source model: [microsoft/LLaVA-Med](https://github.com/microsoft/LLaVA-Med). For research purposes only.")
+
     process_button.click(process_inputs, inputs=[image_input, text_input], outputs=output_text)
     reset_button.click(reset_inputs, inputs=[], outputs=[image_input, text_input, output_text])
 
-
 demo.launch(server_port=7788)