Create gradio_launch_main.py

gradio_launch_main.py

@@ -0,0 +1,41 @@
+import argparse
+from template_gradio_interface import initialize_config, call_predict, create_gradio_interface
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="App parameters")
+    parser.add_argument(
+        "-c",
+        "--config_path",
+        type=str,
+        help="The path to the app config file",
+        default="config_prediction_alloys.yaml",
+        required=False,
+    )
+
+    args = parser.parse_args()
+
+    print(f"Loading config from file {args.config_path}")
+
+    # Get the configuration parameters
+    config, cols_order, osium_theme, css_styling, example_inputs = initialize_config(args.config_path)
+    print("Config initilized successfully")
+
+    # Create the predict function
+    predict_fn = call_predict(config["inference"], cols_order)
+    print("Predict function successfully created")
+
+    demo = create_gradio_interface(
+        config["input_order"],
+        config["input_mapping"],
+        config["output_order"],
+        config["output_mapping"],
+        example_inputs,
+        config["interface_parameters"]["additional_markdown"],
+        config["interface_parameters"]["size"],
+        osium_theme,
+        css_styling,
+        predict_fn,
+        inverse_design=config["inference"]["inverse_design"],
+    )
+    demo.launch(server_port=config["webapp"]["server_port"])