Remove workflow lock subclass and update Gradio wheel URL

app.py

@@ -239,100 +239,7 @@ def generate_ideogram_image(prompt: str) -> dict | None:
         raise e
 
 
-class LockedWorkflow(gr.Workflow):
-    def _build(self):
-        from gradio.components.workflowcanvas import WorkflowCanvas
-        from gradio.workflow import (
-            get_token,
-            call_space,
-            call_model,
-            fetch_dataset,
-            get_dataset_schema,
-            _workflow_from_bind,
-        )
-        from gradio.utils import get_space
-
-        def _load_initial() -> str | None:
-            try:
-                with open(self._workflow_file, encoding="utf-8") as f:
-                    return f.read()
-            except FileNotFoundError:
-                if self._bound:
-                    return _workflow_from_bind(
-                        self._bound, self._edges, name=self._workflow_name
-                    )
-                return None
-
-        bound = self._bound
-
-        def call_fn(data, _token=None) -> str:
-            if _token:
-                t_str = _token.token if hasattr(_token, "token") else _token
-                if t_str:
-                    workflow_token.set(str(t_str))
-            fn_name = data[0] if data else ""
-            try:
-                args_json = data[1] if len(data) > 1 else "[]"
-                fn = bound.get(fn_name)
-                if fn is None:
-                    return json.dumps(
-                        {
-                            "error": f"No function '{fn_name}' bound to this workflow",
-                            "error_type": "unknown",
-                            "suggestion": "Check the bind= argument to Workflow()",
-                        }
-                    )
-                args = json.loads(args_json)
-                if not isinstance(args, list):
-                    args = [args]
-                result = fn(*args)
-                result = list(result) if isinstance(result, (list, tuple)) else [result]
-                return json.dumps(result)
-            except Exception as e:
-                return json.dumps(
-                    {"error": str(e), "error_type": "unknown", "suggestion": ""}
-                )
-
-        # Mocked/neutralized methods for locked read-only mode:
-        def save_workflow(data, _token=None) -> str:
-            return "ok"
-
-        def list_bound_fns(_data=None, _token=None) -> str:
-            return "[]"
-
-        def search_spaces(data, token=None) -> str:
-            return "[]"
-
-        def search_models(data, token=None) -> str:
-            return "[]"
-
-        def search_datasets(data, token=None) -> str:
-            return "[]"
-
-        server_functions = [
-            get_token,
-            call_space,
-            call_model,
-            fetch_dataset,
-            search_spaces,
-            search_models,
-            search_datasets,
-            get_dataset_schema,
-            call_fn,
-            list_bound_fns,
-            save_workflow,
-        ]
-
-        with self:
-            if get_space() is not None and os.getenv("OAUTH_CLIENT_ID"):
-                gr.LoginButton(visible=False)
-            WorkflowCanvas(
-                value=_load_initial,
-                server_functions=server_functions,
-            )
-
-
-demo = LockedWorkflow(bind=[generate_prompt, generate_image, generate_z_image, edit_image, generate_ideogram_image])
+demo = gr.Workflow(bind=[generate_prompt, generate_image, generate_z_image, edit_image, generate_ideogram_image])
 
 if __name__ == "__main__":
     demo.launch()

requirements.txt

@@ -1 +1 @@
-gradio[oauth]==6.17.3
+gradio[oauth] @ https://huggingface.co/buckets/gradio/pypi-previews/resolve/eb2cebf05ac60e14832bcee09894832ab0137c9f/gradio-6.17.3-py3-none-any.whl