| import gradio as gr | |
| import base64 | |
| def inference(user_prompt): | |
| user_prompt = user_prompt | |
| t2i_systemprompt = "" | |
| result_img="/home/suhyeonlim/gauviz/gradio/resource/sample_img.jpg" | |
| with open(result_img, 'rb') as image_file: | |
| base64_string = base64.b64encode(image_file.read()).decode('utf-8') | |
| demo = gr.Interface(fn=inference, inputs="textbox", outputs="textbox") | |
| if __name__ == "__main__": | |
| demo.launch(share=True) |