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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 |
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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"] |
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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!", |
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|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 | | || |
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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) |
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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 | |
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[('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), |
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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( |
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serverDependenciesToBundle: [ | |
"react-markdown", | |
"react-markdown-preview", | |
/^@mdx-js*/, | |
/^estree*/, | |
/^hast-*/, | |
/^parse5*/, | |
/^mdast*/, | |
/^micromark*/, | |
/^remark*/, |
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