Upload 5 files

app.py

@@ -0,0 +1,35 @@
+from transformers import AutoImageProcessor, AutoModelForImageClassification
+import numpy as np
+import evaluate
+import torch
+import gradio as gr
+
+
+model = AutoModelForImageClassification.from_pretrained('hero_photo_eligibility_model')
+checkpoint = 'google/vit-base-patch16-224'
+image_processor = AutoImageProcessor.from_pretrained(checkpoint)
+
+label_names = ['NO', 'YES']
+
+def classify(im):
+    features = image_processor(im, return_tensors='pt')
+    logits = model(features["pixel_values"])[-1]
+    probability = torch.nn.functional.softmax(logits, dim=-1)
+    probs = probability[0].detach().numpy()
+    confidences = {label: float(probs[i]) for i, label in enumerate(label_names)}
+    return confidences
+
+
+title = """Detecting whether a photo is suitable for VDP main photo"""
+
+description = """Hero photo eligibility demo"""
+
+interface = gr.Interface(
+      fn=classify,
+      inputs='image',
+      outputs='label',
+      title=title,
+      description=description
+  )
+
+interface.launch(share=True, debug=True)

config.json

@@ -0,0 +1,32 @@
+{
+  "_name_or_path": "google/vit-base-patch16-224",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "no",
+    "1": "yes"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "no": "0",
+    "yes": "1"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a45a8e2ff308e941570a35f01cd01aa527ffa48a14084dcda385427f859e275
+size 343223968

requirements.txt

@@ -0,0 +1,4 @@
+torch
+gradio
+datasets
+transformers