Upload 4 files

app.py

@@ -1,4 +1,4 @@
-import json
+import json
 import os
 from functools import lru_cache
 from pathlib import Path
@@ -33,7 +33,7 @@ processor = AutoProcessor.from_pretrained(
 model = AutoModelForZeroShotImageClassification.from_pretrained(
     MODEL_ID,
     token=HF_TOKEN,
-    torch_dtype=torch.float32,
+    dtype=torch.float32,
 ).to(device)
 model.eval()
 
@@ -84,12 +84,21 @@ def classify_medical_image(image_path: str) -> Dict[str, float]:
 
 demo = gr.Interface(
     fn=classify_medical_image,
-    inputs=gr.Image(type="filepath", label="📤 Upload Medical Image"),
-    outputs=gr.Label(num_top_classes=5, label="🧠 Top Predictions"),
-    title="🩻 MedSigLIP Smart Medical Classifier",
+    inputs=gr.Image(type="filepath", label="Upload Medical Image"),
+    outputs=gr.Label(num_top_classes=5, label="Top Predictions"),
+    title="MedSigLIP Smart Medical Classifier",
     description="Zero-shot model with automatic label filtering for different modalities.",
 )
 
 
 if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860, queue=True)
+    server_name = os.getenv("SERVER_NAME", "0.0.0.0")
+    port_env = os.getenv("SERVER_PORT") or os.getenv("PORT") or "7860"
+    share_env = os.getenv("GRADIO_SHARE", "false").lower()
+
+    demo.queue().launch(
+        server_name=server_name,
+        server_port=int(port_env),
+        share=share_env in {"1", "true", "yes"},
+        show_api=False,
+    )

patch.diff

@@ -0,0 +1,17 @@
+*** Begin Patch
+*** Update File: medsiglip-smart-filter/app.py
+@@
+-if __name__ == "__main__":
+-    server_name = os.getenv("SERVER_NAME", "0.0.0.0")\\nport_env = os.getenv("SERVER_PORT") or os.getenv("PORT") or "7860"\\nshare_env = os.getenv("GRADIO_SHARE", "false").lower()\\n\\ndemo.queue().launch(\\n    server_name=server_name,\\n    server_port=int(port_env),\\n    share=share_env in {"1", "true", "yes"},\\n    show_api=False,\\n)
++if __name__ == "__main__":
++    server_name = os.getenv("SERVER_NAME", "0.0.0.0")
++    port_env = os.getenv("SERVER_PORT") or os.getenv("PORT") or "7860"
++    share_env = os.getenv("GRADIO_SHARE", "false").lower()
++
++    demo.queue().launch(
++        server_name=server_name,
++        server_port=int(port_env),
++        share=share_env in {"1", "true", "yes"},
++        show_api=False,
++    )
+*** End Patch