Upload 3 files

app.py

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+# app.py (Use this code for Hugging Face)
+import torch
+import gradio as gr
+from PIL import Image
+from transformers import SwinForImageClassification, ViTImageProcessor
+
+# --- 1. Load Model & Processor ---
+MODEL_NAME = "microsoft/swin-tiny-patch4-window7-224"
+MODEL_PATH = "best_model_swin.pth"
+NUM_CLASSES = 3
+CLASS_NAMES = ['COVID19', 'NORMAL', 'PNEUMONIA']
+device = torch.device("cpu") # Use CPU for free-tier hosting
+
+processor = ViTImageProcessor.from_pretrained(MODEL_NAME)
+model = SwinForImageClassification.from_pretrained(
+    MODEL_NAME, 
+    num_labels=NUM_CLASSES, 
+    ignore_mismatched_sizes=True
+)
+model.load_state_dict(torch.load(MODEL_PATH, map_location=device))
+model.to(device)
+model.eval()
+
+# --- 2. Define Prediction Function ---
+def classify_image(input_image: Image.Image):
+    if input_image is None:
+        return "Please upload an image."
+    if input_image.mode != "RGB":
+        input_image = input_image.convert("RGB")
+        
+    inputs = processor(images=input_image, return_tensors="pt")
+    pixel_values = inputs['pixel_values'].to(device)
+
+    with torch.no_grad():
+        outputs = model(pixel_values)
+        
+    probabilities = torch.nn.functional.softmax(outputs.logits, dim=1)
+    
+    # Create a dictionary of {class_name: probability}
+    confidences = {CLASS_NAMES[i]: prob.item() for i, prob in enumerate(probabilities[0])}
+    
+    return confidences
+
+# --- 3. Create the Gradio Interface ---
+iface = gr.Interface(
+    fn=classify_image,
+    inputs=gr.Image(type="pil", label="Upload Chest X-Ray"),
+    outputs=gr.Label(num_top_classes=3, label="Predictions"),
+    title="Swin Transformer Chest X-Ray Classifier",
+    description="Upload an X-ray image to classify it as COVID-19, Normal, or Pneumonia."
+)
+
+# --- 4. Launch the app ---
+iface.launch()

best_model_swin.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2ac3270d49c78130820f0ef852c827788dafe8780a19abd55deb3f807e4f3a9b
+size 110416869

requirements.txt

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+# requirements.txt
+torch
+transformers
+gradio
+pillow