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import os
import json
from typing import Dict, Any
import requests
from PIL import Image
import base64
from pathlib import Path
# from guesslang import Guess
# guessor = Guess()
def img_to_bytes(img_path):
img_bytes = Path(img_path).read_bytes()
encoded = base64.b64encode(img_bytes).decode()
return encoded
def img_to_html(img_path):
img_html = "<img src='data:image/png;base64,{}' class='img-fluid'>".format(
img_to_bytes(img_path)
)
return img_html
def request_api(url: str, data: Dict[str, Any]):
# _input: str,
# task: str,
# source_lgs: str=None,
# target_lgs: str=None
"""
Post request to API
Args:
_input (str): input data
task (str): task
url (str): api
source_lgs (str): Source languages
target_lgs (str): Target languages
Return:
respone (json)
"""
# data = {
# "input": _input,
# "task": task,
# "source_lgs": source_lgs,
# "target_lgs": target_lgs,
# }
headers = {
'Content-type': 'application/json',
'Accept': 'text/plain'
}
response = requests.post(url, data=json.dumps(data), headers=headers)
return response
def load_image_from_local(image_path, image_resize=None):
image = Image.open(image_path)
if isinstance(image_resize, tuple):
image = image.resize(image_resize)
return image
def detect_lang(url, input_):
# name = guessor.language_name(input_)
responde = request_api(url, {
'input': input_,
'task': 'language_detection',
'source_lgs': None,
'target_lgs': None
})
name = json.loads(responde.text)['output']
return name |