Changed model from Vit Xsmall clip to resnet50_clip_gap. Changed descriptioin and .onnx file

.gitignore

@@ -0,0 +1 @@
+.ipynb_checkpoints/

app.py

@@ -10,7 +10,7 @@ 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) 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)"
+description = "An resnet50_clip_gap based model(fine tuned with Custom dataset : around 800 train images & 200 test iamges) F1 Score : 100%(1.00) 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):

deploying model/{vit_xsmall_patch16_clip_224(trainble_0.00) (F1 Score 96.83%, Loss 0.229548).onnx → resnet50_clip_gap(trainble_0.00) (F1 Score 100.00%, Loss 0.149292).onnx}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:51b816317383367efa342177f42718563df644d1cbe616d7023924b007fef7c8
-size 32699557
+oid sha256:b5bbf7a95eda37fe6b85764eac8d0796221e07f92c7cfcff91ee779d5cd3b833
+size 94052414