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Parent(s):
5fba806
Deploy from GitHub - 2026-01-21 07:08:41
Browse files
app.py
CHANGED
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@@ -14,6 +14,56 @@ Based on Johnson et al. "Perceptual Losses for Real-Time Style Transfer"
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https://arxiv.org/abs/1603.08155
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"""
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import gradio as gr
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import torch
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import torch.nn as nn
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@@ -29,18 +79,6 @@ from collections import deque
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import tempfile
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import json
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# Workaround for gradio_client bug with dict schemas
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try:
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from gradio_client import client_utils
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original_get_type = client_utils.get_type
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def patched_get_type(schema):
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if isinstance(schema, bool):
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return "bool" if schema else "Any"
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return original_get_type(schema)
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client_utils.get_type = patched_get_type
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except Exception:
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pass # Skip patching if structure is different
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-
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# Try to import plotly for charts
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try:
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import plotly.graph_objects as go
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https://arxiv.org/abs/1603.08155
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"""
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# ============================================================================
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# PATCH gradio_client BEFORE importing gradio
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# This fixes a bug where schema can be a bool (False means "any type")
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# ============================================================================
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import sys
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def _patched_get_type(schema):
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"""Patched version that handles when schema is a bool (False for any type)"""
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if isinstance(schema, bool):
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return "Any" if not schema else "bool"
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if not isinstance(schema, dict):
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return str(type(schema).__name__)
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if "const" in schema:
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return f"Literal[{repr(schema['const'])}]"
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if "enum" in schema:
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return f"Literal[{', '.join(repr(v) for v in schema['enum'])}]"
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if "$ref" in schema:
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ref = schema["$ref"]
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if ref.startswith("#/$defs/"):
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return ref.split("/")[-1]
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return ref
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if "type" in schema:
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t = schema["type"]
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if t == "string":
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return "str"
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elif t == "number":
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return "float"
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elif t == "integer":
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return "int"
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elif t == "boolean":
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return "bool"
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elif t == "array":
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if "items" in schema:
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items_type = _patched_get_type(schema["items"])
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return f"list[{items_type}]"
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return "list"
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elif t == "object":
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if "additionalProperties" in schema:
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items_type = _patched_get_type(schema["additionalProperties"])
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return f"dict[str, {items_type}]"
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return "dict"
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return "Any"
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# Pre-patch by installing in sys.modules before gradio imports it
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import types
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mock_client_utils = types.ModuleType('gradio_client.utils')
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mock_client_utils.get_type = _patched_get_type
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sys.modules['gradio_client.utils'] = mock_client_utils
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# Now safe to import gradio
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import gradio as gr
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import torch
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import torch.nn as nn
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import tempfile
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import json
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# Try to import plotly for charts
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try:
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import plotly.graph_objects as go
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