Update app.py

app.py

@@ -4,12 +4,12 @@ import time
 from PIL import Image
 import os
 
-model_path = "deploying model/" + "vit_xsmall_patch16_clip_224(trainble_0.15) (Acc 98.44%, Loss 0.168152).onnx"
+model_path = "deploying model/" + "vit_xsmall_patch16_clip_224(trainble_0.00) (F1 Score 96.83%, Loss 0.229548).onnx"
 input_size = [1, 3, 224, 224]
 img_size = input_size[-1]
 
 title = "Gender Vision mini"
-description = "An ViT(xsmall_clip) based model(fine tuned with Custom dataset : around 800 train images & 200 test iamges) Accuracy : around 98.4% with the custom test dataset. Optimized with ONNX(around 1.7 times faster than PyTorch version on cpu)"
+description = "An ViT(xsmall_clip) based model(fine tuned with Custom dataset : around 800 train images & 200 test iamges) F1 Score : around 96.8%(0.9684) with the custom test dataset. Optimized with ONNX(around 1.7 times faster than PyTorch version on cpu)"
 article = "Through bunch of fine tuning and experiments. !REMEMBER! This model can be wrong."
 
 def predict(img):