app.py

import gradio as gr
import inspect
from gradio import routes
from typing import List, Type
"""
>>> !curl -X POST https://Hobson-gradio-rest-api.hf.space/api/predict/ -H 'Content-Type: application/json' -d '{"data": ["one hundred twenty-three"], "fn_index": 0}'
{"data":["123"],"duration":0.00019359588623046875,"average_duration":0.00019359588623046875}
"""


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 str(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


with gr.Blocks() as html_block:
    gr.Markdown("# Gradio Blocks (3.0) with REST API")
    textbox = gr.Textbox()
    button = gr.Button("text2int")
    output = gr.Textbox()
    button.click(text2int, inputs=[textbox], outputs=[output])
    gr.Markdown(r"""

## API

You can select which function to run using the `fn_index` argument:

```python
import requests

requests.post(
    url="https://Hobson-gradio-rest-api.hf.space/api/predict/", json={"data": ["one hundred forty-two"], "fn_index": 0}
).json()
```

Or using `curl`:

```bash
curl -X POST https://Hobson-gradio-rest-api.hf.space/api/predict/ -H 'Content-Type: application/json' -d '{"data": ["one hundred forty-two"], "fn_index": 0}'
```
""")

interface = gr.Interface(lambda: None, inputs=[textbox], outputs=[output])

html_block.input_components = interface.input_components
html_block.output_components = interface.output_components
html_block.examples = None
html_block.predict_durations = []

bapp = html_block.launch()