Upload inference.py

inference.py

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+
+### **📄 inference.py (optional CLI tool)**
+
+# inference.py
+import argparse
+import torch
+from model import BiomedClipClassifier, predict_from_paths
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--weights", type=str, default=".")
+    parser.add_argument("--mri", type=str, required=True, help="Path to NIfTI MRI file")
+    parser.add_argument("--text", type=str, required=True, help="Clinical text")
+    args = parser.parse_args()
+
+    device = "cuda" if torch.cuda.is_available() else "cpu"
+    model = BiomedClipClassifier.from_pretrained(args.weights, device=device)
+
+    pred, probs = predict_from_paths(model, args.mri, args.text, device=device)
+    print("Prediction:", pred)
+    print("Probabilities [CN, MCI, Dementia]:", [round(p, 4) for p in probs])
+
+if __name__ == "__main__":
+    main()