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| import os,json,sys | |
| import gradio as gr | |
| sys.path.insert(0,os.path.abspath(os.path.join(os.path.dirname(__file__),'..'))) | |
| from utils.basic_functions import get_image,gemini_identify_id,request_manager | |
| def main(): | |
| demo = gr.Interface( | |
| fn=request_manager, | |
| inputs=[ | |
| gr.Textbox(label='Huggingface Model Name',placeholder='llava-hf/llava-1.5-7b-hf'), | |
| gr.Textbox(label="Image URL",placeholder="https://cumberland.isis.vanderbilt.edu/stefan/rvlcdip/test_advertisement_127238fe-8352-49ed-8c5f-11488a154dd2.jpg") | |
| ], | |
| outputs=[ | |
| gr.Image(label="Image with ID bounding box"), | |
| gr.Textbox(label="Text Response") | |
| ], | |
| title="Huggingface LLM for ID Number Detection") | |
| demo.launch() | |
| if __name__ == "__main__": | |
| main() |