An AI powered experience that allows you to chat with your favorite characters from movies, TV shows, books, history, and more.
Generates a message reply using a ChatFAI character. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Gets a public character by ID from ChatFAI. See the documentation
Search for public characters on ChatFAI. See the documentation
The ChatFAI API enables the creation of chatbots with capabilities ranging from answering FAQs to providing recommendations and conducting conversations. Leveraging this API within Pipedream allows for the automation of these conversational features across various platforms and services. With Pipedream's serverless approach, you can integrate the ChatFAI API to trigger actions, respond to events, and connect with numerous apps to enhance user engagement and streamline communication processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
chatfai: {
type: "app",
app: "chatfai",
}
},
async run({steps, $}) {
return await axios($, {
url: ` https://api.chatfai.com/v1/characters/search`,
headers: {
Authorization: `Bearer ${this.chatfai.$auth.api_key}`,
},
params: {
"q": `Bertram Gilfoyle`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
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}}