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HF_RUNTIME_FIX_RECEIPT_3.md

@@ -0,0 +1,27 @@
+# HF Runtime Fix Receipt 3
+
+## Packet
+HF_Substrate_Video_Atomization_Runtime_v0_1_PATCHED5
+
+## Error addressed
+The Hugging Face Space started, then crashed while Gradio generated API metadata:
+
+- `TypeError: argument of type 'bool' is not iterable`
+- `ValueError: When localhost is not accessible, a shareable link must be created.`
+
+## Cause
+The primary fault was a Gradio / gradio_client API-schema generation mismatch. Gradio attempted to convert a JSON schema fragment where `additionalProperties` was boolean. The gradio_client converter expected a dict-like schema and crashed.
+
+The localhost/share error was downstream: because the root route failed during startup/API-info generation, Gradio concluded localhost was inaccessible.
+
+## Fix applied
+1. Added a narrow compatibility guard in `app.py` that maps boolean JSON-schema fragments to `Any` during Gradio API metadata conversion.
+2. Changed launch call to bind explicitly for Hugging Face Spaces:
+   - `server_name="0.0.0.0"`
+   - `server_port=int(os.environ.get("PORT", "7860"))`
+   - `show_error=True`
+3. Updated Gradio pin from `4.44.0` to `4.44.1` while preserving `huggingface_hub==0.25.2` to keep the previous `HfFolder` fix settled.
+4. Removed transient `__pycache__` from the release packet.
+
+## Boundary
+No atomization logic, HIR/OAM receipt logic, frame sampling, hashing, OpenCV processing, trace-stack construction, or packet generation logic was changed.

HF_Substrate_Video_Atomization_Runtime_v0_1_PATCHED5.zip.sha256

@@ -0,0 +1 @@
+67f1099db35ffb854d8d85adcb0e82b7176b4b8e7162648c809ceb205e0d6bcc  HF_Substrate_Video_Atomization_Runtime_v0_1_PATCHED5.zip

app.py

@@ -11,6 +11,32 @@ import gradio as gr
 import pandas as pd
 from PIL import Image
 
+# Hugging Face / Gradio compatibility guard.
+# Gradio 4.44.x can crash while generating API metadata when gradio_client
+# receives boolean JSON-schema fragments such as additionalProperties: true.
+# The UI route does not depend on that schema text, so preserve runtime behavior
+# and map those boolean schema fragments to a safe Any type.
+def _install_gradio_schema_guard() -> None:
+    try:
+        import gradio_client.utils as client_utils
+    except Exception:
+        return
+
+    original = getattr(client_utils, "_json_schema_to_python_type", None)
+    if original is None or getattr(original, "_hir_schema_guard", False):
+        return
+
+    def guarded_json_schema_to_python_type(schema, defs=None):
+        if isinstance(schema, bool):
+            return "Any"
+        return original(schema, defs)
+
+    guarded_json_schema_to_python_type._hir_schema_guard = True
+    client_utils._json_schema_to_python_type = guarded_json_schema_to_python_type
+
+
+_install_gradio_schema_guard()
+
 
 APP_TITLE = "Substrate Video Atomization Runtime v0.1"
 BOUNDARY_NOTE = (
@@ -517,4 +543,9 @@ This v0.1 Space demonstrates the source-bound data-hologram layer.
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    port = int(os.environ.get("PORT", "7860"))
+    demo.launch(
+        server_name="0.0.0.0",
+        server_port=port,
+        show_error=True,
+    )

requirements.txt

@@ -1,4 +1,4 @@
-gradio==4.44.0
+gradio==4.44.1
 huggingface_hub==0.25.2
 opencv-python-headless
 numpy