fix(gradio): align gradio with sdk 6.20.0 and restore standard action handlers

README.md

@@ -4,7 +4,7 @@ emoji: 🎬
 colorFrom: indigo
 colorTo: purple
 sdk: gradio
-sdk_version: 5.20.0
+sdk_version: 6.20.0
 app_file: app.py
 pinned: false
 license: apache-2.0
@@ -15,11 +15,3 @@ suggested_hardware: zero-a10g
 # Wan 2.2 Video Studio (ZeroGPU + Multi-LoRA + Base NSFW)
 
 A high-performance AI video generation studio running **Wan 2.2 (MoE)** on **ZeroGPU**.
-
-### Features:
-- 🚀 **Wan 2.2 MoE Architecture**: Native Diffusers integration (`Wan2.2-I2V-A14B`, `Wan2.2-TI2V-5B`, `Wan2.2-T2V-A14B`).
-- 🔞 **Base NSFW Adapter System**: Pre-loaded with `WAN General NSFW Model (Civitai 1307155)` to unlock full anatomical generation.
-- ⚡ **ZeroGPU Acceleration**: Runs with dynamic GPU scheduling on A10G / H100 hardware.
-- 🧩 **Multi-LoRA Engine**: Load custom action and style LoRAs from Civitai, Hugging Face, or local files with Trigger Words.
-- 📐 **300-Hours Civitai Optimization**: Strict multiple-of-16 aspect ratios (832x480, 480x832, 1280x720, etc.) for clean motion.
-- 📖 **Built-in Prompt & Anatomical Motion Guide**: Designed with the official structured prompt standards.

app.py

@@ -2,41 +2,11 @@
 
 from __future__ import annotations
 
-import os
-os.environ["GRADIO_SSR"] = "False"
-
-# Safe monkey-patch for Gradio 5.x schema inspection bug
-try:
-    import gradio_client.utils as client_utils
-    _orig_get_type = getattr(client_utils, "get_type", None)
-    if _orig_get_type is not None:
-        def _safe_get_type(schema):
-            if isinstance(schema, bool):
-                return "boolean"
-            if not isinstance(schema, dict):
-                return "any"
-            return _orig_get_type(schema)
-        client_utils.get_type = _safe_get_type
-
-    _orig_json_schema = getattr(client_utils, "_json_schema_to_python_type", None)
-    if _orig_json_schema is not None:
-        def _safe_json_schema_to_python_type(schema, defs=None):
-            if isinstance(schema, bool):
-                return "bool"
-            if not isinstance(schema, dict):
-                return "Any"
-            try:
-                return _orig_json_schema(schema, defs)
-            except Exception:
-                return "Any"
-        client_utils._json_schema_to_python_type = _safe_json_schema_to_python_type
-except Exception:
-    pass
-
 import hashlib
 import ipaddress
 import json
 import mimetypes
+import os
 import random
 import re
 import shutil
@@ -961,7 +931,6 @@ with gr.Blocks(css=custom_css, title="Wan 2.2 Video Studio") as app:
         fn=on_lora1_change,
         inputs=[lora1_preset],
         outputs=[lora1_custom_url_grp, lora1_hf_grp, lora1_local_grp, lora1_trigger_display, lora1_strength],
-        api_name=False,
     )
 
     def on_lora2_change(preset_val):
@@ -980,7 +949,6 @@ with gr.Blocks(css=custom_css, title="Wan 2.2 Video Studio") as app:
         fn=on_lora2_change,
         inputs=[lora2_preset],
         outputs=[lora2_custom_url_grp, lora2_hf_grp, lora2_local_grp, lora2_trigger_display, lora2_strength],
-        api_name=False,
     )
 
     def append_triggers(curr_prompt, triggers):
@@ -1012,10 +980,10 @@ with gr.Blocks(css=custom_css, title="Wan 2.2 Video Studio") as app:
             "The setting is a bed with dark grey sheets under warm, low indoor lighting."
         )
 
-    hmnsfw_example_btn.click(fn=load_hmnsfw_example, outputs=[prompt], api_name=False)
-    nsfw_base_trigger_btn.click(fn=lambda p: append_triggers(p, "nsfwsks, uncensored, explicit"), inputs=[prompt], outputs=[prompt], api_name=False)
-    add_lora1_triggers_btn.click(fn=append_triggers, inputs=[prompt, lora1_trigger_display], outputs=[prompt], api_name=False)
-    add_lora2_triggers_btn.click(fn=append_triggers, inputs=[prompt, lora2_trigger_display], outputs=[prompt], api_name=False)
+    hmnsfw_example_btn.click(fn=load_hmnsfw_example, outputs=[prompt])
+    nsfw_base_trigger_btn.click(fn=lambda p: append_triggers(p, "nsfwsks, uncensored, explicit"), inputs=[prompt], outputs=[prompt])
+    add_lora1_triggers_btn.click(fn=append_triggers, inputs=[prompt, lora1_trigger_display], outputs=[prompt])
+    add_lora2_triggers_btn.click(fn=append_triggers, inputs=[prompt, lora2_trigger_display], outputs=[prompt])
 
     generate_btn.click(
         fn=generate_video,
@@ -1048,7 +1016,6 @@ with gr.Blocks(css=custom_css, title="Wan 2.2 Video Studio") as app:
             civitai_api_key,
         ],
         outputs=[output_video, output_report, seed],
-        api_name=False,
     )
 
 if __name__ == "__main__":
@@ -1057,4 +1024,4 @@ if __name__ == "__main__":
         get_or_load_pipeline(DEFAULT_MODEL_REPO)
     except Exception as err:
         print(f"[wan] initial preload deferred to first call: {err}", flush=True)
-    app.launch(allowed_paths=[OUTPUT_DIR])
+    app.launch(show_error=True, allowed_paths=[OUTPUT_DIR])

requirements.txt

@@ -3,8 +3,7 @@ transformers>=4.49.0
 accelerate>=1.2.0
 sentencepiece
 safetensors
-gradio>=5.20.0
-gradio_client>=1.6.0
+gradio[mcp]==6.20.0
 spaces>=0.51.1
 imageio[ffmpeg]
 torchvision