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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:
return "Please upload an image."
if not question:
return "Please enter a question."
return run_inference_image(image, question)
def reset_inputs():
return None, "", ""
with gr.Blocks(css=css) as demo:
gr.Markdown("# LLaVA-Med 1.5 OpenVINO Demo")
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, 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)
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