ogabrielluiz

import os
import os.path
import ssl
import stat
import subprocess
import sys

STAT_0o775 = (
    stat.S_IRUSR
    | stat.S_IWUSR

ogabrielluiz

import requests

BASE_API_URL = "http://localhost:3000/api/v1/predict"
FLOW_ID = "864c4f98-2e59-468b-8e13-79cd8da07468" # replace with yours
# You can tweak the flow by adding a tweaks dictionary
# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
TWEAKS = {"ChatOpenAI-g4jEr": {}, "ConversationChain-UidfJ": {}} # replace with yours


def run_flow(message: str, flow_id: str, tweaks: dict = None) -> dict:

ogabrielluiz

{
    "description": "Generate an image using DALL-E2.",
    "name": "ImageFlow",
    "id": "18",
    "data": {
        "nodes": [
            {
                "width": 384,
                "height": 559,
                "id": "dndnode_1",

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{
    "configurations": [
        {
            "name": "Python: Remote Attach",
            "type": "python",
            "request": "attach",
            "justMyCode": false,
            "connect": {
                "port": 5678
            },

ogabrielluiz

import pandas as pd
import numpy as np
from keras import regularizers, optimizers
from keras.layers.experimental.preprocessing import TextVectorization
from keras.layers import Embedding, Dense, Dropout, Input, LSTM, GlobalMaxPool1D
from keras.models import Sequential
from keras.initializers import Constant
import tensorflow as tf
import spacy

ogabrielluiz

image: docker:latest

variables:
  REPOSITORY_URL: <AWS ACCOUNT ID>.dkr.ecr.eu-central-1.amazonaws.com/<ECS REPOSITORY NAME>
  REGION: eu-central-1
  TASK_DEFINTION_NAME: <TASK DEFINITION NAME>
  CLUSTER_NAME: <CLUSTER NAME>
  SERVICE_NAME: <SERVICE NAME>

services: