Fix Gradio schema crash

README.md

@@ -1,12 +1,12 @@
 ---
-title: LWM (Large Wireless Model)
-emoji: 🛰
-colorFrom: indigo
-colorTo: red
-sdk: gradio
-sdk_version: 4.44.0
-app_file: app.py
-pinned: false
+title: LWM (Large Wireless Model)
+emoji: 🛰
+colorFrom: indigo
+colorTo: red
+sdk: gradio
+sdk_version: 5.14.0
+app_file: app.py
+pinned: false
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -13,6 +13,29 @@ import matplotlib.pyplot as plt
 import pandas as pd
 from sklearn.metrics import f1_score
 import seaborn as sns
+# Gradio API schema helper hotfix: handle bool JSON schema entries (e.g., additionalProperties=True)
+# that otherwise break gradio_client.utils.json_schema_to_python_type in Spaces.
+try:
+    import gradio_client.utils as _gc_utils
+
+    _orig_json_schema_to_python_type = _gc_utils._json_schema_to_python_type  # type: ignore[attr-defined]
+
+    def _json_schema_to_python_type_safe(schema, defs=None):  # type: ignore[override]
+        if isinstance(schema, bool):
+            return "Any" if schema else "Never"
+        return _orig_json_schema_to_python_type(schema, defs)
+
+    def _json_schema_to_python_type_top(schema):  # type: ignore[override]
+        if isinstance(schema, bool):
+            return "Any" if schema else "Never"
+        defs = schema.get("$defs") if isinstance(schema, dict) else None
+        return _json_schema_to_python_type_safe(schema, defs)
+
+    _gc_utils._json_schema_to_python_type = _json_schema_to_python_type_safe  # type: ignore[attr-defined]
+    _gc_utils.json_schema_to_python_type = _json_schema_to_python_type_top  # type: ignore[attr-defined]
+except Exception:
+    # If gradio_client internals change, continue without patch; API docs may be unavailable.
+    pass
 
 #################### BEAM PREDICTION #########################}
 def beam_prediction_task(data_percentage, task_complexity, theme='Dark'):
@@ -729,5 +752,7 @@ with gr.Blocks(css="""
 
 # Launch the app
 if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860)
-    
+    port = int(os.environ.get("GRADIO_SERVER_PORT", os.environ.get("PORT", "7860")))
+    host = os.environ.get("GRADIO_SERVER_NAME", "0.0.0.0")
+    demo.launch(server_name=host, server_port=port)
+    

requirements.txt

@@ -6,5 +6,5 @@ h5py
 scikit-learn
 matplotlib
 seaborn
-gradio>=4.44.1
-huggingface-hub<0.26.0
+gradio==5.14.0
+huggingface-hub<0.26.0