zest-2023 / app.py
yozozaya's picture
test new approach
ecb9008
import gradio
def my_inference_function(name):
return "Hello " + name + "!"
gradio_interface = gradio.Interface(
fn=my_inference_function,
inputs="text",
outputs="text",
examples=[
["Jill"],
["Sam"]
],
title="REST API with Gradio and Huggingface Spaces",
description="This is a demo of how to build an AI powered REST API with Gradio and Huggingface Spaces – for free! Based on [this article](https://www.tomsoderlund.com/ai/building-ai-powered-rest-api). See the **Use via API** link at the bottom of this page.",
article="Test 2023"
)
gradio_interface.launch()
# 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()