spdin

import base64
import requests

# Set up Datasaur API
API_URL = "https://deployment.datasaur.ai/api/deployment/8/1937/chat/completions"
headers = {
    'Authorization': 'Bearer <api-key>',
    'Content-Type': 'application/json'
}

spdin

import asyncio
import os
import sys
import re
from pathlib import Path
from urllib.parse import urlparse, parse_qs
import aiohttp
import aiofiles
from typing import Any, Sequence
import logging

spdin

import asyncio
import json
import logging
from typing import Any, Dict, Optional
import modal
from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse, StreamingResponse, Response
from pydantic import BaseModel

# Modal app configuration

spdin

location / {
    proxy_pass http://0.0.0.0:8501/;
    proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
    proxy_set_header Host $http_host;
    proxy_redirect off;
    proxy_http_version 1.1;
    proxy_set_header Upgrade $http_upgrade;
    proxy_set_header Connection "upgrade";
}

spdin

import matplotlib.pyplot as plt

training_points = [0, 10, 25, 50, 100, 250, 500]

bert_acc = [0.5310526315789473, 0.5727631578947369, 0.6130263157894736, 0.8502631578947368, 0.8619736842105263, 0.8727631578947368, 0.8660526315789474]

roberta_acc = [0.49236842105263157, 0.6001315789473685, 0.7292105263157894, 0.7705263157894737, 0.8469736842105263, 0.8442105263157895, 0.8730263157894737]

plt.plot(training_points, bert_acc, label="bert-base-uncased")
plt.plot(training_points, roberta_acc, label="roberta-base")

spdin

flask==1.0.2
opencv-python==4.0.1.23
opencv-python-headless==4.5.1.48
pyyaml==5.3.1
shapely==1.7.0
pandas==0.24.2
requests==2.23.0
albumentations==0.4.5
glog==0.3.1
gunicorn==20.0.4

spdin

save_keeping_v2 =  {
        "1_000": None,
        "1_001": {
            "jenis_dokumen": {
                "text": "INVOICE",
            },
            "nomor_dokumen": {
                "text": "cloudmob015",
            },
        }

spdin

gunicorn -w 5 -b 127.0.0.1:8811 api:app -t 120 --reload --max-requests 100 --access-logfile log.txt --access-logformat '%(h)s %(l)s %(u)s %(t)s "%(r)s" %(s)s %(b)s "%(f)s" "%(a)s" %({X-REMOTE-ADDR}i)s %({X-REAL-IP}i)s'

spdin

server {
        listen 80 default_server;
        listen [::]:80 default_server;
        root /var/www/html;
        server_name _;
        index index.html index.htm index.nginx-debian.html;

        location / {
                proxy_read_timeout 600s;
                proxy_connect_timeout 600s;

spdin

import pickle

# Saving the objects:

with open('test1.pkl', 'wb') as f:  # Python 3: open(..., 'wb')
    pickle.dump([table_bbox, row_bbox, column_bbox], f)

# Getting back the objects:

with open('test1.pkl', 'rb') as f:  # Python 3: open(..., 'rb')