import gradio as gr import inspect from gradio import routes from typing import List, Type # Monkey patch def get_types(cls_set: List[Type], component: str): docset = [] types = [] if component == "input": for cls in cls_set: doc = inspect.getdoc(cls) doc_lines = doc.split("\n") docset.append(doc_lines[1].split(":")[-1]) types.append(doc_lines[1].split(")")[0].split("(")[-1]) else: for cls in cls_set: doc = inspect.getdoc(cls) doc_lines = doc.split("\n") docset.append(doc_lines[-1].split(":")[-1]) types.append(doc_lines[-1].split(")")[0].split("(")[-1]) return docset, types routes.get_types = get_types # App code def hallo(x): return f"Hallo, {x}" def hadet(x): return f"Hadet, {x}" with gr.Blocks() as blk: gr.Markdown("# Gradio Blocks (3.0) with REST API") t = gr.Textbox() b = gr.Button("Hallo") a = gr.Button("Hadet") o = gr.Textbox() b.click(hallo, inputs=[t], outputs=[o]) a.click(hadet, inputs=[t], outputs=[o]) gr.Markdown(""" ## API Can select which function to use by passing in `fn_index`: ```python import requests requests.post( url="https://hf.space/embed/versae/gradio-blocks-rest-api/+/api/predict/", json={"data": ["Jessie"], "fn_index": 0} ).json() requests.post( url="https://hf.space/embed/versae/gradio-blocks-rest-api/+/api/predict/", json={"data": ["Jessie"], "fn_index": 1} ).json() ``` Or using cURL ``` $ curl -X POST https://hf.space/embed/versae/gradio-blocks-rest-api/+/api/predict/ -H 'Content-Type: application/json' -d '{"data": ["Jessie"], "fn_index": 0}' $ curl -X POST https://hf.space/embed/versae/gradio-blocks-rest-api/+/api/predict/ -H 'Content-Type: application/json' -d '{"data": ["Jessie"], "fn_index": 1}' ```""") ifa = gr.Interface(lambda: None, inputs=[t], outputs=[o]) blk.input_components = ifa.input_components blk.output_components = ifa.output_components blk.examples = None blk.predict_durations = [] bapp = blk.launch()