Spaces:
Runtime error
Runtime error
File size: 1,288 Bytes
4e78e8c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
import gradio as gr
from PIL import Image
import os
import torch
from Experiments.Resnet50_classification import retrieve as model1_retrieve
from Model.centroid_app import retrieve as model2_retrieve
def model_1(image, num_images=3):
retrived_images = model1_retrieve(image, k=num_images)
return retrived_images
def model_2(image,num_images):
retrived_images = model2_retrieve(image,k=num_images)
return retrived_images
model_1_page = gr.Interface(
fn=model_1,
inputs=[gr.Image(
label="Query Image"),gr.Number(label="Number of Images")],
outputs=gr.Gallery( type="pil",
label="Retrieved Images"),title = "RiyalNet - This Model has the best accuracy of 97 %")
model_2_page = gr.Interface(
fn=model_2,
inputs=[gr.Image(
label="Query Image"),gr.Number(label="Number of Images")],
outputs=gr.Gallery( type="pil",
label="Retrieved Images"),title="QuickNet - This Model has the best runtime")
demo = gr.TabbedInterface([model_1_page, model_2_page],
["RiyalNet", "QuickNet"],
title="Image Retrieval System")
if __name__ == "__main__":
# demo.launch(server_name='172.31.44.250')
demo.launch(share= True)
|