app.py

import gradio as gr
import inspect
from gradio import routes
from typing import List, Type


def normalize_text(text):
    return text.replace('-', ' ')


def text2int(text, numwords={}):
    """ Convert an English str containing number words into an int

    >>> text2int("nine")
    9
    >>> text2int("forty two")
    42
    >>> text2int("1 2 three")
    123
    """
    if not numwords:
        units = [
            "zero", "one", "two", "three", "four", "five", "six", "seven", "eight",
            "nine", "ten", "eleven", "twelve", "thirteen", "fourteen", "fifteen",
            "sixteen", "seventeen", "eighteen", "nineteen",
        ]

        tens = ["", "", "twenty", "thirty", "forty", "fifty", "sixty", "seventy", "eighty", "ninety"]

        scales = ["hundred", "thousand", "million", "billion", "trillion"]

        numwords["and"] = (1, 0)
        for idx, word in enumerate(units):
            numwords[word] = (1, idx)
        for idx, word in enumerate(tens):
            numwords[word] = (1, idx * 10)
        for idx, word in enumerate(scales):
            numwords[word] = (10 ** (idx * 3 or 2), 0)

    current = result = 0
    text = normalize_text(text)
    for word in text.split():
        if word not in numwords:
            raise Exception("Illegal word: " + word)

        scale, increment = numwords[word]
        current = current * scale + increment
        if scale > 100:
            result += current
            current = 0

    return result + current


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


def hallo(x):
    return f"{text2int(x)}"


def hadet(x):
    return f"{text2int(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()