added app file

app.py

@@ -0,0 +1,43 @@
+import gradio as gr
+from transformers import CLIPProcessor, CLIPModel
+
+model = CLIPModel.from_pretrained("openai/clip-vit-base-patch16")
+processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch16")
+
+
+def CLIP_calculate_score(image, text):
+    words = text.split(";")
+    words = [w.strip() for w in words]
+    words = list(filter(None, words))
+
+    if len(words) == 0:
+        return dict()
+    
+    inputs = processor(text=words, images=image, return_tensors="pt", padding=True)
+    outputs = model(**inputs)
+    logits_per_image = outputs.logits_per_image.detach().numpy()
+
+    results_dict = {
+        label: score / 100.0 
+        for label, score in zip(words, logits_per_image[0])
+    }
+    
+    return results_dict
+
+
+examples = [
+    ["images/girl_and_dog.jpg", "a dog playing in the beach; a dog and a girl playing in the beach; a girl playing in the beach"],
+    ["images/horse.jpg", "group of horses running; a dog playing; a horse standing"],
+    ["images/man_and_cat.jpg", "a man and a cat listening to music; a cat; a man"]
+]
+
+demo = gr.Interface(
+    fn=CLIP_calculate_score,
+    inputs=["image", "text"],
+    outputs="label",
+    examples=examples,
+    # allow_flagging="never",
+    # cache_examples=True,
+)
+
+demo.launch()