from gradio_client import Client

client = Client("{root}")
result = client.predict({#each endpoint_parameters as { label, type, python_type, component, example_input, serializer }, i}
		{represent_value(example_input, python_type.type, "py")},{#if dependency_failures[dependency_index][i]}ERROR{/if}	# {python_type.type} {#if python_type.description}({python_type.description}){/if} in '{label}' {component} component{/each}
		api_name="/{dependency.api_name}"
)
print(result)

import { client } from "@gradio/client";
{#each blob_examples as { label, type, python_type, component, example_input, serializer }, i}
const response_{i} = await fetch("{example_input}");
const example{component} = await response_{i}.blob();
						{/each}
const app = await client("{root}");
const result = await app.predict({#if named}"/{dependency.api_name}"{:else}{dependency_index}{/if}, [{#each endpoint_parameters as { label, type, python_type, component, example_input, serializer }, i}{#if blob_components.includes(component)}
				example{component}, 	// blob in '{label}' {component} component{:else}		
				{represent_value(
										example_input,
										python_type.type,
										"js"
									)}, // {js_parameters[i]
										.type} {#if js_parameters[i].description}({js_parameters[i]
											.description}){/if} in '{label}' {component} component{/if}
						{/each}
	]);

console.log(result.data);