Update app.py

app.py

@@ -37,8 +37,7 @@ MODEL_OPTIONS = {
     "CLIP-large":   "openai/clip-vit-large-patch14",
     # "SigLIP-base":  "google/siglip-base-patch16-224",
     # "SigLIP-large": "google/siglip-so400m-patch14-384"
-    "ALIGN": "kakaobrain/align-base",
-    "LLM2CLIP": "microsoft/LLM2CLIP-EVA02-L-14-336"
+    "ALIGN": "kakaobrain/align-base"
 }
 
 CANDIDATE_LABELS = ["a bat (baseball)", "a bat (mammal)",
@@ -112,7 +111,7 @@ example_list = [
 
 gradio_app = gradio.Interface(
     fn     = run_classifer,
-    inputs = [gradio.Dropdown(["CLIP-base", "CLIP-large", "ALIGN", "LLM2CLIP"], value="CLIP-large", label  = "Select Classifier"),
+    inputs = [gradio.Dropdown(["CLIP-base", "CLIP-large", "ALIGN"], value="CLIP-base", label  = "Select Classifier"),
               gradio.Image(type="pil", label="Load sample image here"),
               gradio.Slider(minimum = 0.1, maximum = 0.9, step = 0.05, value = 0.25, label = "Set Prediction Threshold")
               ],