Integrate the fal.ai API with the Python API

import { fal } from "@fal-ai/client"

export default defineComponent({
  props: {
    fal_ai: {
      type: "app",
      app: "fal_ai",
    }
  },
  async run({ steps, $ }) {
    fal.config({
      credentials: `${this.fal_ai.$auth.api_key}`,
    });
    const result = await fal.subscribe("fal-ai/lora", {
      input: {
        model_name: "stabilityai/stable-diffusion-xl-base-1.0",
        prompt:
          "Photo of a rhino dressed suit and tie sitting at a table in a bar with a bar stools, award winning photography, Elke vogelsang",
      },
      logs: true,
    });
    return result;
  },
})

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}