| import gradio as gr | |
| from pipeline.image_result_to_summary import image_result_to_response | |
| with gr.Blocks() as demo: | |
| gr.Markdown("Muhammad Adhiem Wicaksana's Image to Description project") | |
| with gr.Row(): | |
| with gr.Column(): | |
| image_input = gr.Image(type="numpy", label="Upload Image", sources=["upload"]) | |
| analyze_button = gr.Button("Analyze Image") | |
| with gr.Column(): | |
| output_text = gr.Textbox(label="Analysis Result", lines=50, max_lines=50) | |
| analyze_button.click( | |
| fn=image_result_to_response, | |
| inputs=[image_input], | |
| outputs=output_text, | |
| api_name="analyze" | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |