devxpy

import 'package:http/http.dart' as http;
import 'dart:convert';

main() async {
  var request = http.MultipartRequest(
    'POST',
    Uri.parse('https://api.gooey.ai/v3/Lipsync/async/form/'),
  );
  request.headers['Authorization'] = 'bearer sk-hhm...POJ';
  request.files.add(http.MultipartFile.fromBytes('input_face', []));

devxpy

from babel.numbers import format_currency

# from gooeysite import wsgi
#
# assert wsgi

# import streamlit as gui
import plotly.graph_objects as go
import pandas as pd

devxpy

FROM python

RUN pip install --no-cache-dir furl requests loguru

RUN curl -so main.py 'https://gist.githubusercontent.com/devxpy/2abbe49fa2acb6958eb4d828f50c4467/raw/db60e263a7e345bae31869f5e037f1f87bc54b6b/main.py'

CMD ["python", "main.py"]

devxpy

let response = await fetch("https://api.gooey.ai/v3/integrations/stream/", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    // your integration's ID as shown in the Gooey.AI Integrations tab
    "integration_id": "DEy",
    // the input text for the bot
    "input_prompt": "Hello, world!",

devxpy

 |MODEL |TEM4A0C37S31SB |TEM4A0C42S41SB |TEM4A0C48S41SB |TEM4A0C60S51SB|
|--|--|--|--|--|
 |RATED VOLTS/PH/HZ |208-230/1/60 | | ||
 |RATINGS(a) |See O.D. Specifications | | ||
 |INDOOR COIL - Type |Plate Fin | | ||
 |Rows - F.P.I. |3 - 14 |3 - 14 |3 - 14 |4 - 14|
 |Face Area (sq. ft.) |5.50 |5.50 |5.50 |5.91|
 |Tube Size (in.) |3/8 | | ||
 |Refrigerant Control |TXV | | ||
 |Drain Conn. Size (in. )(b) |3/4 NPT | | ||

devxpy

def reposition_object_img_bytes(
    *,
    img_bytes: bytes,
    mask_bytes: bytes,
    out_size: (int, int) = (512, 512),
    out_obj_scale: float = 0.2,
    out_pos_x: float = 4 / 9,
    out_pos_y: float = 3 / 9,
) -> (bytes, bytes):
    image_cv2 = bytes_to_cv2_img(img_bytes)

devxpy

from llama_index import (
    VectorStoreIndex,
    SimpleWebPageReader,
    set_global_service_context,
    ServiceContext,
)
from llama_index.callbacks import CallbackManager, TokenCountingHandler
from llama_index.chat_engine.types import ChatMode

devxpy

[('https://assets.interplaylearning.com/videos/learning_path/1530282924685_ACDiagnostics3.mp4',
  3),
 ('https://s3-us-west-1.amazonaws.com/assets.interplay-learning.com/videos/learning_path/1687286505745_0_IntroWhatisHVACRev.mp4',
  2),
 ('https://s3-us-west-1.amazonaws.com/assets.interplay-learning.com/videos/learning_path/1687286573158_1_HVACoverviewRev.mp4',
  2),
 ('https://s3-us-west-1.amazonaws.com/assets.interplay-learning.com/videos/learning_path/1687286713437_2_HVACsystemsRev.mp4',
  2),
 ('https://s3-us-west-1.amazonaws.com/assets.interplay-learning.com/videos/learning_path/1687293233864_3_SystemComponentsRev.mp4',
  2),

devxpy

• django url shortener - Google Search
• How to Build and Deploy a Django-based URL Shortener App from Scratch | Docker
• django-link-shortener · PyPI
• New Tab
• how to generate short urls - Google Search
• [how to generate short urls stackoverflow - Google Search](https://www.google.com/search?q=how+to+generate+short+urls+stackoverflow&sxsrf=AB5stB

devxpy

import torch
from PIL import Image
from diffusers import StableDiffusionPipeline, StableDiffusionControlNetImg2ImgPipeline, ControlNetModel, DDIMScheduler
from diffusers.utils import load_image

controlnet = ControlNetModel.from_pretrained("DionTimmer/controlnet_qrcode-control_v11p_sd21",
                                             torch_dtype=torch.float16)

model_id = "stabilityai/stable-diffusion-2-1"
pipe = StableDiffusionControlNetImg2ImgPipeline.from_pretrained(