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0000000000000000000000000000000000000000..f318dfc169610dcbdf3e63d6e40abbd9c3d7ea03 --- /dev/null +++ b/f9824a98-7061-4454-b33e-dc30691f843d.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ebdc9cdc20dedd1a7cb95494e06620d83006b82a59cca64d1500ab6ae7c94894 +size 263614 diff --git a/metadata.jsonl b/metadata.jsonl index 51c17c1b539a695f197516f9cc3d864a032af8ea..4ab8e3e0389db1cdb8cb21ab4d347a32d03b9d77 100644 --- a/metadata.jsonl +++ b/metadata.jsonl @@ -148,3 +148,90 @@ {"file_name": "671ef76a-7d26-431c-aa5c-cdf86a98ca3d.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "import chainlit as cl\r\nfrom assistant.utils.assistant_utils import welcome_user\r\nfrom assistant.agent import get_agent_executor\r\n\r\n\r\n@cl.on_chat_start\r\nasync def start():\r\n res = await cl.AskUserMessage(content=\"What is your name?\", timeout=30).send()\r\n if res:\r\n msg = cl.Message(content=\"\")\r\n await msg.send()\r\n msg.content = welcome_user(user_name=res['content'])\r\n await msg.update()\r\n \r\n\r\n@cl.on_message\r\nasync def main(message: cl.Message):\r\n msg = cl.Message(content=\"\")\r\n await msg.send()\r\n query: str = message.content\r\n agent_executor = get_agent_executor(query)\r\n msg.content = agent_executor.invoke({\"input\": query})['output']\r\n await msg.update()"}]} {"file_name": "f28cb5a0-9737-47f2-ba41-3e44e13e135c.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "import torch\r\nimport os\r\nfrom torch import nn\r\nfrom torchvision import transforms\r\nimport numpy as np\r\nimport os\r\nfrom PIL import Image\r\nimport torch\r\nimport os\r\nfrom torch import nn\r\nimport torch.nn.functional as F\r\nimport random\r\n\r\n\r\nclass MaizeNet(nn.Module):\r\n def __init__(self, K) -> None:\r\n super(MaizeNet, self).__init__()\r\n\r\n self.conv_layers = nn.Sequential(\r\n # convolution 1\r\n nn.Conv2d(in_channels=3, out_channels=32, kernel_size=3, padding=1),\r\n nn.ReLU(),\r\n nn.BatchNorm2d(32),\r\n nn.Conv2d(in_channels=32, out_channels=32, kernel_size=3, padding=1),\r\n nn.ReLU(),\r\n nn.BatchNorm2d(32),\r\n nn.MaxPool2d(2),\r\n # Convolution 2\r\n nn.Conv2d(in_channels=32, out_channels=64, kernel_size=3, padding=1),\r\n nn.ReLU(),\r\n nn.BatchNorm2d(64),\r\n nn.Conv2d(in_channels=64, out_channels=64, kernel_size=3, padding=1),\r\n nn.ReLU(),\r\n nn.BatchNorm2d(64),\r\n nn.MaxPool2d(2),\r\n # Convolution 3\r\n nn.Conv2d(in_channels=64, out_channels=128, kernel_size=3, padding=1),\r\n nn.ReLU(),\r\n nn.BatchNorm2d(128),\r\n nn.Conv2d(in_channels=128, out_channels=128, kernel_size=3, padding=1),"}]} {"file_name": "651e6fca-31d2-4e7d-bd07-8930ba48fb17.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from flask.cli import FlaskGroup\r\nfrom app import create_app\r\n\r\n\r\napp = create_app()\r\ncli = FlaskGroup(create_app=create_app)\r\n\r\n\r\nif __name__ == \"__main__\":\r\n cli()"}]} +{"file_name": "9980b9f9-572b-4633-8ffc-2714695ba731.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from flask.cli import FlaskGroup\r\nfrom app import create_app\r\n\r\n\r\napp = create_app()\r\ncli = FlaskGroup(create_app=create_app)\r\n\r\n\r\nif __name__ == \"__main__\":\r\n cli()"}]} +{"file_name": "7dd3c62c-6cf7-44da-8460-6fde777229c8.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from dotenv import load_dotenv\r\nload_dotenv()\r\nimport os\r\n\r\nimport googlemaps\r\ngmaps = googlemaps.Client(key=os.environ['GOOGLE_MAPS_API_KEY'])\r\n\r\n# directions_result = gmaps.directions(\r\n# start,\r\n# end,\r\n# waypoints=waypoints,\r\n# mode=transit_type,\r\n# units=\"metric\",\r\n# optimize_waypoints=True,\r\n# traffic_model=\"best_guess\",\r\n# departure_time=start_time,\r\n# )\r\ndef convert_to_coords(input_address):\r\n return gmaps.geocode(input_address)\r\n\r\ngmaps = googlemaps.Client(key=os.environ[\"GOOGLE_MAPS_API_KEY\"])\r\n\r\nexample_coords = convert_to_coords(\"Rachives, Nairobi Kenya\")\r\nprint(example_coords)"}]} +{"file_name": "c8c35d67-77d2-4711-b5ba-d841f420ed50.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": ""}]} +{"file_name": "60fb2bad-81d0-40d9-9a0e-2eac47213eb2.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from dotenv import load_dotenv\r\nload_dotenv()\r\nimport os\r\n\r\nimport googlemaps\r\ngmaps = googlemaps.Client(key=os.environ['GOOGLE_MAPS_API_KEY'])\r\n\r\nresults = gmaps.places(query='agrovets in nairobi, kenya')\r\nfor result in results['results']:\r\n bussiness: dict = dict()\r\n bussiness['business_status'] = result['business_status']\r\n bussiness['formatted_address'] = result['formatted_address']\r\n bussiness['name'] = result['name']\r\n bussiness['opening_hours'] = result.get('opening_hours', 'NaN')\r\n print(bussiness)"}]} +{"file_name": "c35f8ffe-867a-4eac-88c8-bd27b3090361.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": ""}]} +{"file_name": "5ce126ba-eaaa-4e4d-a87e-d06f6d8d817e.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from .llms import chat_openai"}]} +{"file_name": "366a1461-6b3f-47cd-9b8d-3eecc089902a.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n"}]} +{"file_name": "6e0cdc22-00a4-4fa5-be68-3846c41e6391.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from langchain.chat_models import (\r\n ChatOpenAI, ChatAnthropic, ChatGooglePalm\r\n)\r\nimport os\r\n\r\n\r\nchat_openai: ChatOpenAI = ChatOpenAI(\r\n temperature=0, \r\n openai_api_key=os.environ['OPENAI_API_KEY'],\r\n verbose=True,\r\n model='gpt-3.5-turbo'\r\n )\r\nchat_googlepalm: ChatGooglePalm = ChatGooglePalm(\r\n google_api_key=os.environ['GOOGLE_PALM_API_KEY'],\r\n verbose=True,\r\n temperature=0\r\n)"}]} +{"file_name": "1517b3af-257e-4ce7-b78d-3141ac7fc0da.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from .libraries.youtube import YouTube\r\nimport os\r\n\r\n\r\nclient_secret_file: str = os.environ['CLIENT_SECRET']\r\nclient_secret_file: str = '/home/lyle/Downloads/client_secret.json'\r\ncredentials_file: str = os.environ['CREDENTIALS_FILE']\r\nyoutube: YouTube = YouTube(client_secret_file=client_secret_file)\r\nyoutube.authenticate()\r\n# youtube.authenticate_from_credentaisl(credentials_file)\r\n"}]} +{"file_name": "9b299946-c1e6-4939-98e0-ac5ad44c6de9.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": ""}]} +{"file_name": "55091537-9c96-49a0-a337-8280279f9f78.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n"}]} +{"file_name": "c4caef3d-b205-4057-9b86-cf0899075062.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": ""}]} +{"file_name": "8d91f2c5-0c42-429c-8962-93041e0985a1.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n"}]} +{"file_name": "1a5a5e05-e555-441a-9c29-0d7bbc5d86d1.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": ""}]} +{"file_name": "87fe5589-b677-4b64-8cca-e232fbfbe04f.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from .youtube import YouTube"}]} +{"file_name": "dd136ebf-bc1c-41b0-ad6a-ff894c83e92a.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from pydantic_settings import BaseSettings\r\n\r\n\r\nclass BaseConfig(BaseSettings):\r\n max_results: int = 10"}]} +{"file_name": "71e208c4-e638-4d4e-8dd4-2009a78ac7be.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": ""}]} +{"file_name": "e7f25185-53b4-4236-82d8-f7e25cdcee92.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "SIMPLE_QUERY: list[str] = [\r\n \"\"\"In Jonh Coogans video about 'Being a billionare' find the comment by 'author' and reply to it by disagreeing\"\"\",\r\n \r\n]\r\n\r\nsamples: str = \"\"\"\r\nI do not agree with the comment by Lyle on John Coogans video on 'Billionares'. Craft a reply that \r\nclearly states this, maake it professional.\r\nI want to subscribe/unsubscribe to this channel\r\n\"\"\""}]} +{"file_name": "907dd798-8d08-4e2d-9bec-fc7f31c7ec74.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "SINGLE_CHANNEL_QUERIES: list[str] = [\r\n \"How many subscribers does the Ark Invest Channel have?\",\r\n \"What is the id of the Ticker symbol: YOU channel?\"\r\n \"What is the title of the channel with id 'UC7kCeZ53sli_9XwuQeFxLqw'?\",\r\n \"How many videos does the channel Real Engineering have?\",\r\n \"Which is the latest video uploaded to the Pro Robots Channel?\",\r\n \"What playlists are in the Ark Invest channel\",\r\n \"What are the channel sections found in the Pro Robots channel?\",\r\n]\r\n\r\nMUTIPLE_CHANNEL_QUERIES: list[str] = [\r\n \"Between Ark Invest and Ticker Symbol: YOU, which channel was created first?\",\r\n \"Among Ark Invest, Pro robots and Ticker Symbol: You, which channel(s) talk about robots?\",\r\n \"Are there any similar playlists between Ark Invest and Ticker Symbol: You channels?\",\r\n \"Between Ark Invest and Pro Robots, which channel has more subscribers?\"\r\n]"}]} +{"file_name": "b99603e6-77a2-483a-867a-abb26f1481b3.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": ""}]} +{"file_name": "13df53bf-dc07-4d1b-9531-1b9ce9ddc31e.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n"}]} +{"file_name": "1fc2b516-bc5c-4852-b9bd-1832d0f0845b.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from ..resource import YouTubeResource\r\nfrom typing import Any\r\nfrom ...models import ChannelSection\r\nfrom ..schemas import (\r\n YouTubeListResponse, YouTubeRequest, YouTubeResponse, ChannelSectionFilter,\r\n ChannelSectionPart, ChannelSectionOptionalParameters, InsertChannelSection\r\n)\r\n\r\n\r\nclass YouTubeChannelSection(YouTubeResource):\r\n def __init__(self, youtube_client: Any) -> None:\r\n super().__init__(youtube_client)\r\n \r\n def list_my_channel_sections(self) -> YouTubeListResponse:\r\n part: ChannelSectionPart = ChannelSectionPart()\r\n filter: ChannelSectionFilter = ChannelSectionFilter(\r\n mine=True\r\n )\r\n optional: ChannelSectionOptionalParameters = ChannelSectionOptionalParameters()\r\n request: YouTubeRequest = YouTubeRequest(\r\n part=part,\r\n filter=filter,\r\n optional_parameters=optional\r\n )\r\n channel_section_request = self.youtube_client.channelSections().list(\r\n **self.create_request_dict(request) \r\n )\r\n channel_section_response = channel_section_request.execute()\r\n return channel_section_response\r\n \r\n def list_channel_sections(self, channel_id: str) -> YouTubeListResponse:\r\n part: ChannelSectionPart = ChannelSectionPart()\r\n filter: ChannelSectionFilter = ChannelSectionFilter(\r\n channelId=channel_id\r\n )\r\n optional: ChannelSectionOptionalParameters = ChannelSectionOptionalParameters()\r\n request: YouTubeRequest = YouTubeRequest(\r\n part=part,\r\n filter=filter,\r\n optional_parameters=optional"}]} +{"file_name": "ee51170c-31a3-4a71-9cb3-43055939f23d.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from .channel_section import YouTubeChannelSection"}]} +{"file_name": "aa2e0d55-1fa3-4e23-984d-0697b535d38a.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from ..resource import YouTubeResource\r\nfrom ...models import (\r\n Video, VideoCategory\r\n)\r\nfrom typing import Any, Optional\r\nfrom ..schemas import (\r\n VideoFilter, VideoOptionalParameters, VideoPart, YouTubeResponse, YouTubeRequest, \r\n YouTubeRatingResponse, ThumbnailSetResponse, VideoReportReasonResponse, LanguageResponse, \r\n RegionResponse, VideoReportAbuse, UploadVideo\r\n)\r\nfrom datetime import datetime\r\nfrom googleapiclient.http import MediaFileUpload\r\nfrom collections import defaultdict\r\n\r\n\r\nclass YouTubeVideo(YouTubeResource):\r\n def __init__(self, youtube_client: Any) -> None:\r\n super().__init__(youtube_client)\r\n \r\n def get_video_ratings(self, video_ids: list[str]) -> YouTubeRatingResponse:\r\n filters: dict = self.generate_filter(self.generate_video_ids, VideoFilter(id=video_ids))\r\n find_video_rating_request: dict = self.youtube_client.videos().getRating(\r\n **filters\r\n )\r\n find_video_rating_result: dict[str, int|str] = find_video_rating_request.execute()\r\n return self.parse_user_video_rating(find_video_rating_result)\r\n \r\n def generate_video_ids(self, video_filter: VideoFilter) -> dict[str, str]:\r\n video_ids: str = ','.join(video_filter.id)\r\n return dict(id=video_ids)\r\n\r\n def find_video_by_id(self, video_id: str) -> Video:\r\n filter: VideoFilter = VideoFilter(id=[video_id])\r\n part: VideoPart = VideoPart()\r\n optional_params: VideoOptionalParameters = VideoOptionalParameters()\r\n request_schema: YouTubeRequest = YouTubeRequest(\r\n part=part, \r\n filter=filter, \r\n optional_parameters=optional_params\r\n )"}]} +{"file_name": "6a09d625-b3fb-48c7-a373-1fc69744f17b.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from .video import YouTubeVideo"}]} +{"file_name": "db164a24-9b14-42be-bf88-810ff4d2ecc1.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "# Streamlit application for New York Housing Market Explorer\r\n\r\n# Required imports\r\nimport streamlit as st\r\nimport pandas as pd\r\nfrom llama_index import SimpleDirectoryReader, ServiceContext, StorageContext, VectorStoreIndex\r\nfrom llama_index.llms import OpenAI\r\nfrom llama_index.embeddings import FastEmbedEmbedding\r\nfrom qdrant_client import QdrantClient\r\nimport json\r\nimport os\r\nfrom sqlalchemy import create_engine\r\nfrom llama_index import SQLDatabase, ServiceContext\r\nfrom llama_index.indices.struct_store import NLSQLTableQueryEngine\r\nfrom pathlib import Path\r\nfrom llama_index.vector_stores.qdrant import QdrantVectorStore\r\nfrom llama_index.query_engine import (\r\n SQLAutoVectorQueryEngine,\r\n RetrieverQueryEngine,\r\n)\r\nfrom llama_index.tools.query_engine import QueryEngineTool\r\nfrom llama_index.indices.vector_store import VectorIndexAutoRetriever\r\n\r\nfrom llama_index.indices.vector_store.retrievers import (\r\n VectorIndexAutoRetriever,\r\n)\r\nfrom llama_index.vector_stores.types import MetadataInfo, VectorStoreInfo\r\nfrom llama_index.query_engine.retriever_query_engine import (\r\n RetrieverQueryEngine,\r\n)\r\nfrom dotenv import load_dotenv\r\nload_dotenv()\r\n\r\n\r\nst.set_page_config(layout=\"wide\")\r\nwrite_dir = Path(\"textdata\")\r\n\r\n# Initialize Qdrant client\r\nclient = QdrantClient(\r\n url=os.environ['QDRANT_URL'], "}]} +{"file_name": "6b20892c-46c1-44ec-9834-8cdac145e248.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from setuptools import find_packages, setup\r\n\r\n# For consistent encoding\r\nfrom codecs import open\r\nfrom os import path\r\n\r\n# The directory containing this file\r\nHERE = path.abspath(path.dirname(__file__))\r\n\r\n# Get the long description from the README file\r\nwith open(path.join(HERE, 'README.md'), encoding='utf-8') as f:\r\n LONG_DESCRIPTION = f.read()\r\n\r\nVERSION = '0.6.0' \r\nDESCRIPTION = 'A python library that wraps around the YouTube V3 API. You can use it find, manage and analyze YouTube resources including Videos, Playlists, Channels and Comments.'\r\n\r\nkey_words = [\r\n 'youtube', 'youtube-api', 'youtube comments', 'youtube videos',\r\n 'youtube channels', 'youtube comment thread', 'upload youtube video',\r\n 'create youtube playlist'\r\n]\r\n\r\ninstall_requires = [\r\n 'google-api-python-client', \r\n 'google-auth-oauthlib', \r\n 'pandas', \r\n 'elasticsearch', \r\n 'sqlalchemy',\r\n 'sqlalchemy_utils',\r\n 'psycopg2-binary'\r\n]\r\n\r\nsetup(\r\n name='youtube',\r\n packages=find_packages(\r\n include=[\r\n 'youtube', \r\n 'youtube.resources.channel',\r\n 'youtube.resources.video',\r\n 'youtube.resources.utils',"}]} +{"file_name": "659e1155-285b-4ac5-ae02-b1dbc5fcf3f8.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from youtube import YouTube\r\nfrom itertools import chain\r\n\r\nyoutube = YouTube()\r\nclient_secrets_file = '/home/lyle/Downloads/python_learning_site.json'\r\nyoutube.authenticate_from_client_secrets_file(client_secrets_file)\r\n\r\n# channel = youtube.find_channel_by_id('UC8butISFwT-Wl7EV0hUK0BQ')\r\n# video = youtube.find_video_by_id('vEQ8CXFWLZU')\r\nquery = 'Python programming'\r\nvideo_iterator = youtube.get_iterator(query)\r\nv1 = next(video_iterator)\r\nv2 = next(video_iterator)\r\nv3 = next(video_iterator)\r\n\r\n# video_collection = video_iterator.get_videos()\r\n# POSTGRES_HOST='localhost' \r\n# POSTGRES_PORT=5432 \r\n# POSTGRES_USER='lyle' \r\n# POSTGRES_PASSWORD='lyle'\r\n# POSTGRES_DB='python-learning-app'\r\n# video_collection.save_to_database(POSTGRES_HOST, POSTGRES_PORT, \r\n# POSTGRES_USER, POSTGRES_PASSWORD, POSTGRES_DB)\r\n# search_client = youtube.get_search_client(query)\r\n# prev_token, next_token, v1 = search_client.search_videos()\r\n# prev_token, next_token, v2 = search_client.search_videos(next_page_token=next_token)\r\n# prev_token, next_token, v3 = search_client.search_videos(next_page_token=next_token)\r\nvideos = list(chain(v1,v2,v3))\r\n\r\nif __name__ == '__main__':\r\n print(len(videos))\r\n for video in videos:\r\n print(video)\r\n # video.to_json()\r\n # video.to_csv()"}]} +{"file_name": "951dda20-9238-41a9-9e57-d8f013e686fe.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "import logging\r\nimport click\r\nfrom rich.logging import RichHandler\r\n\r\n\r\nLOGGER_NAME = \"reddit\"\r\nlogging.basicConfig(\r\n level=logging.INFO,\r\n format=\"%(asctime)s:%(levelname)s:%(name)s:%(message)s\",\r\n handlers=[RichHandler(rich_tracebacks=True, tracebacks_suppress=[click])],\r\n)\r\nlogger = logging.getLogger(LOGGER_NAME)\r\n\r\n\r\nlogging.getLogger(\"clickhouse_connect\").setLevel(logging.ERROR)\r\nlogging.getLogger(\"clickhouse_connect\").setLevel(logging.ERROR)\r\nlogging.getLogger(\"numexpr\").setLevel(logging.ERROR)\r\n"}]} +{"file_name": "2099db1b-c732-410c-a44d-5c9d99d472d0.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "import os\r\nfrom dotenv import load_dotenv\r\nfrom rich.prompt import Prompt\r\nfrom src.utils.display import (\r\n display_intro,\r\n select_number_of_posts,\r\n select_topic,\r\n select_search_queries,\r\n)\r\nfrom src.utils.agent import Agent\r\nfrom src.utils.document_loader import RedditSubLoader, TwitterTweetLoader\r\n\r\nload_dotenv()\r\n\r\n\r\ndef main():\r\n display_intro()\r\n topic = select_topic()\r\n platform, keywords, accounts = select_search_queries(topic)\r\n number_of_posts = select_number_of_posts()\r\n\r\n if platform == \"reddit\":\r\n document_loader = RedditSubLoader(\r\n number_submissions=number_of_posts,\r\n keywords=keywords,\r\n subreddits=accounts,\r\n )\r\n elif platform == \"twitter\":\r\n document_loader = TwitterTweetLoader.from_bearer_token(\r\n oauth2_bearer_token=os.environ.get(\"TWITTER_BEARER_TOKEN\"),\r\n number_tweets=number_of_posts,\r\n twitter_users=accounts,\r\n keywords=keywords,\r\n )\r\n else:\r\n raise ValueError(f\"Platform {platform} not supported\")\r\n\r\n agent = Agent(loader=document_loader)\r\n\r\n agent.load_documents()"}]} +{"file_name": "14cc4603-ceb2-482c-8c4d-3d3b074adb65.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from pymongo import MongoClient\r\n\r\ndef test_mongo_connection():\r\n try:\r\n # Create a MongoDB client\r\n client = MongoClient(\"mongodb://root:yourpassword@localhost:27017/\")\r\n \r\n # Get the database instance\r\n db = client.yourdbname\r\n\r\n # Create a new collection or get the existing collection\r\n collection = db.test_collection\r\n\r\n # Insert a new document\r\n result = collection.insert_one({\"message\": \"Hello, MongoDB!\"})\r\n \r\n # Retrieve the inserted document\r\n retrieved_document = collection.find_one({\"_id\": result.inserted_id})\r\n \r\n print(\"Document inserted successfully:\")\r\n print(retrieved_document)\r\n \r\n # Close the connection\r\n client.close()\r\n\r\n except Exception as e:\r\n print(f\"An error occurred: {e}\")\r\n\r\nif __name__ == \"__main__\":\r\n test_mongo_connection()\r\n\r\n"}]} +{"file_name": "21fda388-9a8b-4bf7-9f5a-d353654536be.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from pydantic import BaseSettings\r\n\r\n\r\nclass Settings(BaseSettings):\r\n mongodb_uri: str\r\n mongodb_database: str\r\n\r\n\r\nsettings = Settings()\r\n"}]} +{"file_name": "d1930030-09e2-4bfb-afa0-bdf96eb5e6dc.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from typing import List\r\nimport os\r\nfrom functools import lru_cache\r\nimport tweepy\r\nfrom src import logger\r\nfrom src.utils.config import BLACKLIST, SEARCH_FILTERS\r\n\r\nfrom praw import Reddit\r\nfrom praw.models import Subreddit\r\n\r\n\r\n@lru_cache(maxsize=None)\r\ndef get_api():\r\n auth = tweepy.OAuth2BearerHandler(os.environ.get(\"TWITTER_BEARER_TOKEN\"))\r\n api = tweepy.API(auth, parser=tweepy.parsers.JSONParser())\r\n return api\r\n\r\n\r\ndef search_users(q, count):\r\n api = get_api()\r\n users = api.search_users(q=q, count=count)\r\n extracted_users = []\r\n\r\n for user in users:\r\n screen_name = user[\"screen_name\"]\r\n followers_count = user[\"followers_count\"]\r\n statuses_count = user[\"statuses_count\"]\r\n description = user[\"description\"]\r\n profile_url = f\"https://twitter/{screen_name}\"\r\n lang = user[\"lang\"]\r\n\r\n extracted_user = dict(\r\n screen_name=screen_name,\r\n profile_url=profile_url,\r\n description=description,\r\n followers_count=followers_count,\r\n statuses_count=statuses_count,\r\n lang=lang,\r\n )\r\n extracted_users.append(extracted_user)"}]} +{"file_name": "252ee9e4-6ab0-4936-bba0-b016b196c160.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\r\n"}]} +{"file_name": "4d35bfe5-3d6c-429b-a683-272d6a635e96.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "import atexit\r\nimport os\r\nimport sys\r\nimport json\r\nfrom rich.console import Console\r\nfrom langchain.vectorstores import Chroma\r\nfrom langchain.embeddings.openai import OpenAIEmbeddings\r\nimport chromadb\r\nfrom chromadb.config import Settings\r\nimport tiktoken\r\nfrom src import logger\r\nfrom src.utils.chains import (\r\n get_retrieval_qa_chain,\r\n summarize_tweets,\r\n)\r\nfrom src.utils.data_processing import (\r\n get_texts_from_documents,\r\n get_metadatas_from_documents,\r\n)\r\nfrom src.utils.display import display_bot_answer, display_summary_and_questions\r\nfrom src.utils.document_loader import TwitterTweetLoader\r\nfrom src.utils.prompts import summarization_question_template, summarization_template\r\n\r\n\r\nclass TwitterAgent(object):\r\n def __init__(\r\n self,\r\n twitter_users,\r\n keywords,\r\n number_tweets,\r\n persist_db=True,\r\n ):\r\n self.twitter_users = twitter_users\r\n self.keywords = keywords\r\n self.number_tweets = number_tweets\r\n self.loaded_documents = []\r\n self.embeddings = OpenAIEmbeddings()\r\n self.persist_db = persist_db\r\n self.chain = None\r\n self.client = None"}]} +{"file_name": "ea59f05c-de95-464d-8e6b-1c8ef66956d6.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\"\"\"Twitter document loader.\"\"\"\r\nfrom __future__ import annotations\r\nimport os\r\nfrom abc import ABC, abstractmethod\r\nfrom typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Sequence, Union\r\n\r\nfrom praw import Reddit\r\nfrom praw.models import Submission, MoreComments\r\nfrom rich.console import Console\r\nfrom contextlib import nullcontext\r\n\r\nfrom langchain.docstore.document import Document\r\n\r\nfrom src.utils.search import (\r\n search_tweets_by_keywords,\r\n search_tweets_by_usernames,\r\n)\r\n\r\nif TYPE_CHECKING:\r\n import tweepy\r\n from tweepy import OAuth2BearerHandler, OAuthHandler\r\n\r\n\r\ndef _dependable_tweepy_import() -> tweepy:\r\n try:\r\n import tweepy\r\n except ImportError:\r\n raise ValueError(\r\n \"tweepy package not found, please install it with `pip install tweepy`\"\r\n )\r\n return tweepy\r\n\r\n\r\nclass DocumentLoader(ABC):\r\n @property\r\n @abstractmethod\r\n def source(self) -> str:\r\n pass\r\n\r\n @abstractmethod"}]} +{"file_name": "1febca57-6d65-46a2-97bb-12601049f2c8.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": ""}]} +{"file_name": "9d1f9307-a3cb-4907-b024-7af093db48c8.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "# -*- coding: utf-8 -*-\r\n\r\n# Resource object code\r\n#\r\n# Created by: The Resource Compiler for PyQt5 (Qt v5.14.1)\r\n#\r\n# WARNING! All changes made in this file will be lost!\r\n\r\nfrom PyQt5 import QtCore\r\n\r\nqt_resource_data = b\"\\\r\n\\x00\\x01\\x08\\x57\\\r\n\\x89\\\r\n\\x50\\x4e\\x47\\x0d\\x0a\\x1a\\x0a\\x00\\x00\\x00\\x0d\\x49\\x48\\x44\\x52\\x00\\\r\n\\x00\\x02\\x20\\x00\\x00\\x02\\x20\\x08\\x06\\x00\\x00\\x00\\xbc\\x89\\xd2\\x1c\\\r\n\\x00\\x00\\x00\\x04\\x73\\x42\\x49\\x54\\x08\\x08\\x08\\x08\\x7c\\x08\\x64\\x88\\\r\n\\x00\\x00\\x00\\x09\\x70\\x48\\x59\\x73\\x00\\x00\\x0b\\x13\\x00\\x00\\x0b\\x13\\\r\n\\x01\\x00\\x9a\\x9c\\x18\\x00\\x00\\x00\\x19\\x74\\x45\\x58\\x74\\x53\\x6f\\x66\\\r\n\\x74\\x77\\x61\\x72\\x65\\x00\\x77\\x77\\x77\\x2e\\x69\\x6e\\x6b\\x73\\x63\\x61\\\r\n\\x70\\x65\\x2e\\x6f\\x72\\x67\\x9b\\xee\\x3c\\x1a\\x00\\x00\\x20\\x00\\x49\\x44\\\r\n\\x41\\x54\\x78\\x9c\\xec\\x9d\\x77\\x7c\\x5c\\xc5\\xd5\\xf7\\x7f\\x67\\xee\\xdd\\\r\n\\x5d\\xed\\xaa\\x77\\xcb\\x92\\x2c\\xd9\\x96\\xdc\\x8d\\xbb\\x8d\\x01\\x1b\\xd3\\\r\n\\x0c\\x36\\xdd\\x20\\x9b\\x66\\x42\\x49\\x20\\x21\\x0f\\x29\\x6f\\x12\\x02\\xa9\\\r\n\\x22\\x4f\\xf2\\x90\\x10\\xf2\\x90\\x84\\x34\\x78\\x92\\x50\\x42\\xb5\\x31\\xa1\\\r\n\\x9a\\x98\\x6a\\xc0\\x06\\xdc\\x7b\\xc1\\x45\\xee\\x96\\xd5\\x7b\\xd9\\xdd\\x7b\\\r\n\\xe7\\xbc\\x7f\\xec\\x4a\\xc8\\xb2\\xb4\\xda\\x95\\x76\\xb5\\xbb\\xd2\\x7c\\xf9\\\r\n\\x08\\x4b\\x77\\x67\\xce\\x9c\\x7b\\x75\\xef\\xdc\\x9f\\x66\\xce\\x9c\\x21\\x28\\\r\n\\x14\\x8a\\x01\\xcd\\x92\\x7f\\x5f\\x38\\x52\\x98\\x34\\x11\\xc0\\x08\\x66\\xca\\\r\n\\x02\\x21\\x93\\x80\\x54\\x80\\x92\\x40\\x9c\\x00\\x46\\x3c\\x18\\x31\\x20\\x58\\\r\n\\x00\\xe8\\x0c\\xe8\\x00\\x34\\x02\\x04\\x3c\\x5f\\xe4\\xfd\\xf2\\x40\\x00\\xb8\\\r\n\\xc3\\xcf\\x9e\\x63\\x0c\\x3e\\xed\\x08\\x7b\\xbf\\x24\\x03\\x12\\x80\\x49\\x80\\\r\n\\x01\\xc0\\x00\\xc3\\x0d\\x42\\x2b\\x08\\x0d\\x60\\xaa\\x07\\xb8\\x96\\x81\\x2a\\\r\n\\x30\\xca\\x88\\xb8\\x14\\x40\\x89\\xd4\\x78\\xc7\\x4b\\xd7\\x7e\\x70\\x30\\x64\\\r\n\\x17\\x45\\xa1\\x50\\x84\\x1d\\xea\\xb9\\x88\\x42\\xa1\\x88\\x20\\xda\\x9f\\xd9\\\r\n\\x1b\\x5e\\x98\\x97\\xa7\\x59\\xb5\\x59\\x12\\x62\\x12\\xa4\\x1c\\x03\\xd0\\x30\\\r\n\\x06\\xd2\\x05\\x28\\x9e\\xc1\\x76\\xaf\\xa0\\xd0\\x3a\\x56\\xe4\\x6e\\x0c\\x76\\\r\n\\x75\\xbc\\x37\\xe5\\xfa\\x62\\xab\\xed\\xc4\\x3a\\x1d\\x37\\xc1\\x70\\x13\\xa8\\\r\n\\x45\\x82\\x1b\\x08\\xa8\\x00\\xf8\\x28\\x84\\xd8\\x2b\\x20\\xb7\\x99\\x2e\\x73\\\r\n\\xdd\\x8b\\x37\\xae\\x3e\\xd2\\xa1\\xbc\\x3f\\xcd\\x2b\\x14\\x8a\\x08\\x40\\x09\\\r\n\\x10\\x85\\x22\\xb2\\xa0\\xb6\\x57\\xe8\\xbc\\xd5\\xf3\\x6c\\x99\\x95\\x62\\x2e\\"}]} +{"file_name": "625a5089-ce06-44fd-8082-82f4533389cc.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\"\"\"\r\nWritten by Joshua Willman\r\nFeatured in \"Modern Pyqt - Create GUI Applications for Project Management, Computer Vision, and Data Analysis\"\r\n\"\"\"\r\n# Style sheet for the Audio Recorder GUI\r\n\r\nstyle_sheet = \"\"\"\r\n QWidget {\r\n background-color: #FFFFFF\r\n }\r\n\r\n QPushButton {\r\n background-color: #AFAFB0;\r\n border: 2px solid #949495;\r\n border-radius: 4px;\r\n padding: 5px\r\n }\r\n\r\n QPushButton:hover {\r\n background-color: #C2C2C4;\r\n }\r\n\r\n QPushButton:pressed {\r\n background-color: #909091;\r\n }\r\n\r\n /* Set up the appearance of the start button for normal, hovered\r\n and pressed states. */\r\n QPushButton#StartButton {\r\n background-color: #FFFFFF; \r\n image: url(:/resources/images/mic.png);\r\n border: none\r\n }\r\n\r\n QPushButton#StartButton:hover {\r\n image: url(:/resources/images/mic_hover.png);\r\n }\r\n\r\n QPushButton#StartButton:pressed {\r\n image: url(:/resources/images/mic_pressed.png);"}]} +{"file_name": "f345464b-37b5-46e9-b025-cf7da372a8a7.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": ""}]} +{"file_name": "c49c5117-1141-4a2e-9d1b-12a824a82fd7.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\"\"\"\r\nWritten by Joshua Willman\r\nFeatured in \"Modern Pyqt - Create GUI Applications for Project Management, Computer Vision, and Data Analysis\"\r\n\"\"\"\r\n# Import necessary modules\r\nimport sys, os\r\nfrom PyQt5.QtWidgets import (QApplication, QWidget, QLabel, QPushButton, QMessageBox, QMenu, \r\n QFileDialog, QVBoxLayout, QSystemTrayIcon)\r\nfrom PyQt5.QtMultimedia import QAudioRecorder, QAudioEncoderSettings, QMultimedia\r\nfrom PyQt5.QtCore import Qt, QUrl\r\nfrom PyQt5.QtGui import QIcon, QFont\r\nfrom AudioRecorderStyleSheet import style_sheet\r\nimport resources\r\n\r\nclass AudioRecorder(QWidget): \r\n\r\n def __init__(self):\r\n super().__init__()\r\n self.initializeUI()\r\n\r\n def initializeUI(self):\r\n \"\"\"Initialize\u00a0the\u00a0window\u00a0and\u00a0display\u00a0its\u00a0contents\u00a0to\u00a0the\u00a0screen.\"\"\"\r\n self.setFixedSize(360, 540)\r\n self.setWindowTitle('9.1 - Audio Recorder')\r\n\r\n self.audio_path = \"\" # Empty variable for path to audio file\r\n \r\n self.setupWindow()\r\n self.setupSystemTrayIcon()\r\n self.show()\r\n\r\n def setupWindow(self):\r\n \"\"\"Set up widgets in the main window and the QAudioRecorder instance.\"\"\"\r\n # Set up two push buttons (the app's first \"screen\")\r\n self.select_path_button = QPushButton(\"Select Audio Path\")\r\n self.select_path_button.setObjectName(\"SelectFile\")\r\n self.select_path_button.setFixedWidth(140)\r\n self.select_path_button.clicked.connect(self.selectAudioPath)\r\n\r\n self.start_button = QPushButton()"}]} +{"file_name": "93818515-d324-4ad0-ab16-efec98f53b68.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from typing import Any, Dict\r\n\r\nfrom injector import inject, singleton\r\nfrom langchain_core.output_parsers import StrOutputParser\r\nfrom langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\r\nfrom langchain_core.runnables import RunnableSerializable\r\n\r\nfrom bao.components.llms import LLMs\r\nfrom bao.settings.settings import Settings\r\n\r\n\r\n@singleton\r\nclass Greeting:\r\n @inject\r\n def __init__(self, settings: Settings, llms: LLMs) -> None:\r\n self.settings = settings\r\n self.llms = llms\r\n\r\n def chain(self) -> RunnableSerializable[Dict[str, Any], Dict[str, Any]]:\r\n llm = self.llms.get_llm(llm_type=self.settings.chain_templates.greeting_model)\r\n chat_template = ChatPromptTemplate.from_messages(\r\n [\r\n (\"system\", self.settings.chain_templates.greeting_template),\r\n MessagesPlaceholder(variable_name=\"chat_history\"),\r\n (\"human\", \"{question}\"),\r\n ]\r\n )\r\n return chat_template | llm | StrOutputParser() # type: ignore\r\n"}]} +{"file_name": "b831207b-0b8a-4e7c-b20b-807d73edb654.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from typing import Any, Dict\r\n\r\nfrom injector import inject, singleton\r\nfrom langchain_core.output_parsers.json import JsonOutputParser\r\nfrom langchain_core.prompts import ChatPromptTemplate\r\nfrom langchain_core.runnables import RunnableSerializable\r\n\r\nfrom bao.components.llms import LLMs\r\nfrom bao.settings.settings import Settings\r\n\r\n\r\n@singleton\r\nclass IntentClassification:\r\n @inject\r\n def __init__(self, settings: Settings, llms: LLMs) -> None:\r\n self.settings = settings\r\n self.llms = llms\r\n\r\n def chain(self) -> RunnableSerializable[Dict[str, Any], Dict[str, Any]]:\r\n llm = self.llms.get_llm(\r\n llm_type=self.settings.chain_templates.intent_classify_model\r\n )\r\n chat_template = ChatPromptTemplate.from_messages(\r\n [\r\n (\"system\", self.settings.chain_templates.intent_classify_template),\r\n (\"human\", \"{question}\"),\r\n ]\r\n )\r\n return chat_template | llm | JsonOutputParser()\r\n"}]} +{"file_name": "7ea0b0ea-41e2-4fb9-9fb6-099367c849e7.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": ""}]} +{"file_name": "d900e9e9-b208-47c9-bc71-5cd4f342295c.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from typing import Any, Dict\r\n\r\nfrom injector import inject, singleton\r\nfrom langchain.chains.question_answering import load_qa_chain\r\nfrom langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\r\nfrom langchain_core.runnables import RunnableSerializable\r\n\r\nfrom bao.components.llms import LLMs\r\nfrom bao.settings.settings import Settings\r\n\r\n\r\n@singleton\r\nclass Answering:\r\n @inject\r\n def __init__(self, settings: Settings, llms: LLMs) -> None:\r\n self.settings = settings\r\n self.llms = llms\r\n\r\n def chain(self) -> RunnableSerializable[Dict[str, Any], Dict[str, Any]]:\r\n llm = self.llms.get_llm(llm_type=self.settings.chain_templates.answer_model)\r\n chat_template = ChatPromptTemplate.from_messages(\r\n [\r\n (\"system\", self.settings.chain_templates.answer_template),\r\n MessagesPlaceholder(variable_name=\"chat_history\"),\r\n (\"human\", \"{question}\"),\r\n ]\r\n )\r\n return load_qa_chain(\r\n llm=llm, chain_type=\"stuff\", verbose=True, prompt=chat_template\r\n )\r\n"}]} +{"file_name": "b3501b1a-334a-4842-8657-8a94d62ea4d7.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\"\"\"Extract the subtitle given youtube URL\"\"\"\r\n\r\nimport io\r\nimport logging\r\nfrom pathlib import Path\r\nfrom typing import Any, Dict, List\r\nfrom injector import singleton, inject\r\n\r\nimport requests\r\nfrom bs4 import BeautifulSoup\r\nfrom bao.settings.settings import Settings\r\n\r\nfrom bao.utils.strings import format_seconds, seconds_to_hh_mm_ss\r\n\r\nimport yaml\r\n\r\nlogger = logging.getLogger()\r\n\r\n\r\n@singleton\r\nclass TranscriptService:\r\n\r\n @inject\r\n def __init__(self, settings: Settings) -> None:\r\n self.settings = settings\r\n\r\n def get_title_pubdate(self, video_url: str) -> tuple:\r\n r = requests.get(video_url)\r\n soup = BeautifulSoup(r.text, features=\"lxml\")\r\n link = soup.find_all(name=\"title\")[0]\r\n title = link.text.strip()\r\n pub_date = soup.find_all(name=\"meta\")[-3][\"content\"][:10]\r\n return title, pub_date.replace(\"-\", \"\")\r\n\r\n def get_transcripts(self, video_url: str, language: str = \"en\"):\r\n try:\r\n from youtube_transcript_api import YouTubeTranscriptApi\r\n except:\r\n logger.exception(\r\n \"cannot import youtube_transcript_api. try 'pip install -U youtube_transcript_api' \""}]} +{"file_name": "6e5df10e-f363-45b9-9f3c-31a3d1ad37fe.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": ""}]} +{"file_name": "90ad75a0-56b3-420c-90d3-59a52f14b233.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "import argparse\r\nimport logging\r\nimport sys\r\n\r\nfrom bao.components.crawler.youtube_transcript.transcript_service import (\r\n TranscriptService,\r\n)\r\nfrom bao.di import global_injector\r\n\r\nlogger = logging.getLogger(__name__)\r\nlogger.setLevel(logging.INFO)\r\n\r\n# set a root logger\r\nhandler = logging.StreamHandler(sys.stdout)\r\nformatter = logging.Formatter(\"%(asctime)s - %(name)s - %(levelname)s - %(message)s\")\r\nhandler.setFormatter(formatter)\r\nlogger.addHandler(handler)\r\nparser = argparse.ArgumentParser(description=\"Crawl transcripts from given video\")\r\n\r\nparser.add_argument(\"-v\", \"--video_url\", type=str, help=\"Youtube video URL\")\r\nparser.add_argument(\r\n \"--language\",\r\n type=str,\r\n default=\"en\",\r\n help=\"language that the transcripts should match. e.g. en,cn\",\r\n required=False,\r\n)\r\n\r\nargs = parser.parse_args()\r\n\r\nif __name__ == \"__main__\":\r\n transcript_service = global_injector.get(TranscriptService)\r\n logger.info(f\"Crawl output: {transcript_service.settings.crawler.output_dir}\")\r\n\r\n transcript_service.extract_from_youtube(\r\n video_url=args.video_url,\r\n language=args.language,\r\n )\r\n"}]} +{"file_name": "b0d81d8b-cbc3-4b0b-bec1-0654001d1455.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\"\"\"This module declares the application auth models.\"\"\"\r\nfrom flask_dance.consumer.storage.sqla import OAuthConsumerMixin\r\nfrom flask_login import UserMixin\r\n\r\nfrom ...extensions.extensions import db\r\n\r\n\r\nclass User(UserMixin, db.Model):\r\n \"\"\"This class represents a user.\"\"\"\r\n\r\n id = db.Column(db.Integer, primary_key=True)\r\n name = db.Column(db.String(250), unique=True)\r\n email = db.Column(db.String(250), unique=True)\r\n picture = db.Column(db.String(250), unique=True)\r\n\r\n\r\nclass OAuth(OAuthConsumerMixin, db.Model):\r\n \"\"\"This class enables atomatic login.\"\"\"\r\n\r\n user_id = db.Column(db.Integer, db.ForeignKey(User.id))\r\n user = db.relationship(User)\r\n"}]} +{"file_name": "d1baed6f-7a48-4738-a725-44e8dc3921ed.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n"}]} +{"file_name": "7723213a-0907-45a6-82b2-b8c8f68d4e60.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from setuptools import find_packages, setup\r\nfrom pip._vendor import tomli\r\n\r\n# For consistent encoding\r\nfrom codecs import open\r\nfrom os import path\r\n\r\n# The directory containing this file\r\nHERE = path.abspath(path.dirname(__file__))\r\n\r\n# Get the long description from the README file\r\nwith open(path.join(HERE, 'README.md'), encoding='utf-8') as f:\r\n LONG_DESCRIPTION = f.read()\r\n\r\nwith open('pyproject.toml', 'r') as f:\r\n VERSION = tomli.load(f)['tool']['commitizen']['version']\r\n\r\nDESCRIPTION = 'A python library for working with Google Drive.'\r\n\r\nkey_words = [\r\n 'drive', 'google-drive', 'google-drive-api', 'upload files to Google Drive',\r\n]\r\n\r\ninstall_requires = [\r\n 'oryks-google-oauth',\r\n 'pydantic',\r\n 'pydantic-settings'\r\n]\r\n\r\nsetup(\r\n name='oryks-google-drive',\r\n packages=find_packages(\r\n include=[\r\n 'google_drive',\r\n 'google_drive.exceptions',\r\n 'google_drive.models',\r\n 'google_drive.schemas',\r\n 'google_drive.resources'\r\n ]\r\n ),"}]} +{"file_name": "49643851-3976-4f46-89c6-cb513037e9b7.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from google_drive import GoogleDrive\r\n\r\n\r\nclient_secrets_file = 'drive.json'\r\ndrive = GoogleDrive(client_secret_file=client_secrets_file)\r\ndrive.authenticate()\r\n"}]} +{"file_name": "2d4e1c08-dfed-43b7-8b25-8dcdac2f937b.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from dotenv import load_dotenv\r\nload_dotenv()\r\nfrom assistant.agents import default_agent\r\nimport chainlit as cl\r\n\r\n\r\n@cl.on_chat_start\r\nasync def start():\r\n cl.user_session.set('agent', default_agent)\r\n\r\n\r\n@cl.on_message\r\nasync def main(message: cl.Message):\r\n agent = cl.user_session.get('agent')\r\n msg = cl.Message(content='')\r\n await msg.send()\r\n await cl.sleep(1)\r\n msg.content = agent.invoke({'input': message.content})['output']\r\n await msg.update()\r\n"}]} +{"file_name": "f9824a98-7061-4454-b33e-dc30691f843d.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from setuptools import find_packages, setup\r\nfrom pip._vendor import tomli\r\n\r\n# For consistent encoding\r\nfrom codecs import open\r\nfrom os import path\r\n\r\n# The directory containing this file\r\nHERE = path.abspath(path.dirname(__file__))\r\n\r\n# Get the long description from the README file\r\nwith open(path.join(HERE, 'README.md'), encoding='utf-8') as f:\r\n LONG_DESCRIPTION = f.read()\r\n\r\nwith open('pyproject.toml', 'r') as f:\r\n VERSION = tomli.load(f)['tool']['commitizen']['version']\r\n\r\nDESCRIPTION = 'A chatbot that enables the user interact with youtube over chat.'\r\n\r\nkey_words = [\r\n 'youtube', 'youtube-api', 'youtube comments', 'youtube videos', 'chat with youtube',\r\n 'youtube channels', 'youtube comment thread', 'create youtube playlist'\r\n]\r\n\r\ninstall_requires = [\r\n 'oryks-youtube',\r\n 'pydantic',\r\n 'pydantic-settings'\r\n]\r\n\r\nsetup(\r\n name='youtube-assistant',\r\n packages=find_packages(\r\n include=[\r\n 'assistant',\r\n ]\r\n ),\r\n version=VERSION,\r\n description=DESCRIPTION,\r\n long_description_content_type='text/markdown',"}]} +{"file_name": "9f5bf3d8-f0f4-4c12-9392-6696c70d55cb.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from selenium import webdriver\r\nfrom selenium.webdriver.common.keys import Keys\r\nfrom selenium.webdriver.common.by import By\r\nfrom selenium.webdriver.chrome.service import Service as ChromeService\r\nfrom webdriver_manager.chrome import ChromeDriverManager\r\nfrom selenium.webdriver.chrome.options import Options\r\ni\r\n\r\noptions = Options()\r\noptions.add_argument(\"--headless=new\")\r\ndriver = webdriver.Chrome(service=ChromeService(ChromeDriverManager().install()), options=options)\r\ndriver.get(\"https://leetcode.com/problems/remove-linked-list-elements\")\r\nparagraphs = driver.find_elements(By.TAG_NAME, \"p\")\r\nprint(paragraphs)\r\ndriver.quit()"}]} +{"file_name": "04f65dfb-feed-4fec-8b78-5c16c213b53d.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from youtube import YouTube\r\nfrom youtube.models import Search\r\nfrom youtube.schemas import (\r\n YouTubeRequest, YouTubeListResponse, YouTubeResponse,\r\n SearchFilter, SearchOptionalParameters, SearchPart\r\n)\r\nfrom typing import Iterator\r\n\r\n\r\nclient_secrets_file = \"/home/lyle/oryks/backend/api/libraries/youtube.json\"\r\ndef get_youtube_client(client_secrets_file: str = client_secrets_file) -> YouTube:\r\n youtube: YouTube = YouTube(client_secret_file=client_secrets_file)\r\n client = youtube.authenticate()\r\n youtube.youtube_client = client\r\n return youtube\r\n\r\nyoutube: YouTube = get_youtube_client(client_secrets_file=\"/home/lyle/Downloads/test.json\")\r\n\r\n\r\n# query: str = ''\r\n# part: SearchPart = SearchPart()\r\n# optional_parameters: SearchOptionalParameters = SearchOptionalParameters(\r\n# q=query,\r\n# type=['video'],\r\n# channelId=\"UCtAcpQcYerN8xxZJYTfWBMw\"\r\n# )\r\n# search_request: YouTubeRequest = YouTubeRequest(\r\n# part=part, \r\n# optional_parameters=optional_parameters\r\n# )\r\n# search_results: YouTubeResponse = youtube.search(search_request)\r\n# search_iterator: Iterator = youtube.get_search_iterator(search_request)\r\n# # res: YouTubeResponse = youtube.find_channel_by_name(display_name=\"Umar Jamil\")\r\n# # print(res.items[0])\r\n# res = next(search_iterator)\r\n# final = []\r\n# for x in search_iterator:\r\n# for search in x:\r\n# final.append(\r\n# dict("}]} +{"file_name": "5d766cab-bf3c-47b7-bdc5-f9cc6650e011.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "import torch\r\nfrom transformers import (\r\n BitsAndBytesConfig, AutoProcessor, AutoModelForCausalLM,\r\n TrainingArguments, Trainer\r\n)\r\nfrom peft import get_peft_model, LoraConfig\r\nfrom datasets import load_dataset, DatasetDict, Dataset\r\nfrom torch.utils.data import Dataset as DataSet, DataLoader\r\nfrom tqdm import tqdm\r\nfrom torch.optim import AdamW\r\nfrom transformers import get_scheduler\r\nimport os\r\nfrom random import randint\r\nfrom PIL import Image\r\nfrom PIL.PngImagePlugin import PngImageFile\r\n\r\nmodel_id = \"microsoft/Florence-2-base-ft\"\r\n# model_id = \"microsoft/Florence-2-large-ft\"\r\ndevice = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\r\n\r\nmodel = AutoModelForCausalLM.from_pretrained(\r\n model_id, \r\n trust_remote_code=True, \r\n ).to(device)\r\n\r\nprocessor = AutoProcessor.from_pretrained(\r\n model_id, \r\n trust_remote_code=True, \r\n )"}]} +{"file_name": "31fc6fbd-3825-4433-ba01-9bf86db2766b.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": ""}]} +{"file_name": "c63c98b2-73c6-4201-9049-2bc1ddd4d2aa.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from langchain_community.document_loaders.generic import GenericLoader\r\nfrom langchain_community.document_loaders.parsers import OpenAIWhisperParser\r\nfrom langchain_community.document_loaders.blob_loaders.youtube_audio import (\r\n YoutubeAudioLoader,\r\n)\r\nfrom langchain_core.documents import Document\r\nfrom os import path\r\n\r\n# Two Karpathy lecture videos\r\nurls = [\"https://www.youtube.com/watch?v=altvPR7x9IA\"]\r\n\r\n# Directory to save audio files\r\ndata_dir = \"data\"\r\nvideo_data_dir = \"video\"\r\ntranscribed_data = \"transcriptions\"\r\nvideo_title = \"sample\"\r\nsave_video_dir = path.join(data_dir, video_data_dir, video_title)\r\nsave_transcript_dir = path.join(data_dir, transcribed_data, video_title + \".txt\")\r\n\r\napi_key: str = \"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\"\r\n\r\nloader = GenericLoader(\r\n YoutubeAudioLoader(urls, save_video_dir), OpenAIWhisperParser(api_key=api_key)\r\n)\r\ndocs = loader.load()\r\n\r\nfull_transcript = \"\"\r\nfor doc in docs:\r\n full_transcript += doc.page_content\r\n\r\nwith open(save_transcript_dir, \"w\", encoding=\"utf-8\") as f:\r\n f.write(full_transcript)\r\n\r\nprint(full_transcript)\r\n\r\n\r\ndef transcribe_video(video_id: str, save_video_dir: str, api_key: str) -> str:\r\n url: str = f\"https://www.youtube.com/watch?v={video_id}\"\r\n loader: GenericLoader = GenericLoader(\r\n YoutubeAudioLoader([url], save_video_dir), OpenAIWhisperParser(api_key=api_key)"}]} +{"file_name": "983f01ee-6423-4506-98a8-a538202bf675.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n"}]} +{"file_name": "1adaf80e-45ec-47e3-b4c9-4553cf946c7a.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from dotenv import load_dotenv\r\nload_dotenv()\r\nfrom flask.cli import FlaskGroup\r\nfrom api import create_app\r\n\r\napp = create_app()\r\ncli = FlaskGroup(create_app=create_app)\r\n\r\n\r\n\r\nif __name__ == \"__main__\":\r\n cli()"}]} +{"file_name": "3fefa705-818d-4d2e-8ec4-be15b81700df.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from dotenv import load_dotenv\r\nload_dotenv()\r\nfrom flask.cli import FlaskGroup\r\nfrom api import create_app\r\n\r\napp = create_app()\r\ncli = FlaskGroup(create_app=create_app)\r\n\r\n\r\n\r\nif __name__ == \"__main__\":\r\n cli()"}]} +{"file_name": "87e6e951-444c-40bf-bc6a-af9b6b43474e.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "# Define here the models for your scraped items\r\n#\r\n# See documentation in:\r\n# https://docs.scrapy.org/en/latest/topics/items.html\r\n\r\nimport scrapy\r\n\r\n\r\nclass SlidesgoItem(scrapy.Item):\r\n # define the fields for your item here like:\r\n # name = scrapy.Field()\r\n pass\r\n"}]} +{"file_name": "e5e7a983-8132-435f-b6bf-82559b8696a0.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "# Define your item pipelines here\r\n#\r\n# Don't forget to add your pipeline to the ITEM_PIPELINES setting\r\n# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html\r\n\r\n\r\n# useful for handling different item types with a single interface\r\nfrom itemadapter import ItemAdapter\r\n\r\n\r\nclass SlidesgoPipeline:\r\n def process_item(self, item, spider):\r\n return item\r\n"}]} +{"file_name": "d9c67438-401c-4c97-975a-a4075e153cb7.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": ""}]} +{"file_name": "f1bf05d6-8066-40d2-829d-b12d045cacf5.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "# Define here the models for your spider middleware\r\n#\r\n# See documentation in:\r\n# https://docs.scrapy.org/en/latest/topics/spider-middleware.html\r\n\r\nfrom scrapy import signals\r\n\r\n# useful for handling different item types with a single interface\r\nfrom itemadapter import is_item, ItemAdapter\r\n\r\n\r\nclass SlidesgoSpiderMiddleware:\r\n # Not all methods need to be defined. If a method is not defined,\r\n # scrapy acts as if the spider middleware does not modify the\r\n # passed objects.\r\n\r\n @classmethod\r\n def from_crawler(cls, crawler):\r\n # This method is used by Scrapy to create your spiders.\r\n s = cls()\r\n crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)\r\n return s\r\n\r\n def process_spider_input(self, response, spider):\r\n # Called for each response that goes through the spider\r\n # middleware and into the spider.\r\n\r\n # Should return None or raise an exception.\r\n return None\r\n\r\n def process_spider_output(self, response, result, spider):\r\n # Called with the results returned from the Spider, after\r\n # it has processed the response.\r\n\r\n # Must return an iterable of Request, or item objects.\r\n for i in result:\r\n yield i\r\n\r\n def process_spider_exception(self, response, exception, spider):\r\n # Called when a spider or process_spider_input() method"}]} +{"file_name": "ddcef359-2177-41c5-9ce9-9cc6b1a538f8.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n"}]} +{"file_name": "e21f6b08-0b21-4f49-aaf3-510ac986fbea.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from typing import Any\r\nfrom scrapy import Spider\r\nfrom scrapy.http import Response\r\nfrom scrapy.linkextractors import LinkExtractor \r\n\r\n\r\nclass SlidesLinkExtractor(Spider):\r\n name: str = \"links-extractor\"\r\n \r\n start_urls: list[str] = [\r\n \"https://slidesgo.com/\"\r\n ]\r\n \r\n def __init__(self, name=None, **kwargs): \r\n super().__init__(name, **kwargs) \r\n \r\n self.link_extractor = LinkExtractor(unique=True) \r\n \r\n def parse(self, response: Response, **kwargs: Any) -> Any: \r\n self.logger.info(\"Links spider\")\r\n links = response.css('li.w-1\\/2 a::attr(href)') \r\n \r\n for link in links: \r\n yield {\r\n \"url\": link.get(), \r\n }"}]} +{"file_name": "e2ab89ca-599b-4966-aa46-f6c1e7db50a0.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n"}]} +{"file_name": "553d1251-ea3a-4bc4-a98a-47f6c3a15ec1.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "# This package will contain the spiders of your Scrapy project\r\n#\r\n# Please refer to the documentation for information on how to create and manage\r\n# your spiders.\r\n"}]} +{"file_name": "0f85559b-577c-455c-bbf3-5d3be58353bf.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n"}]} +{"file_name": "3b0ef5d0-c372-42d6-b88f-553b10cc7600.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from typing import Any\r\nfrom scrapy import Spider\r\nfrom scrapy.http import Response\r\nfrom scrapy import Request\r\n# from slidesmodel.items import SlidesModelItem\r\nfrom scrapy.loader import ItemLoader\r\nfrom scrapy.utils.project import get_project_settings\r\nimport json\r\n\r\n\r\nclass SlidesGospider(Spider):\r\n name: str = \"slides\"\r\n \r\n def __init__(self, name: str | None = None, **kwargs: Any):\r\n super().__init__(name, **kwargs)\r\n # self.start_urls: list[str] = self.load_start_urls()\r\n self.start_urls: list[str] = [\r\n \"https://slidesgo.com/food#rs=home\"\r\n ]\r\n \r\n \r\n def parse(self, response: Response, **kwargs: Any) -> Any:\r\n self.logger.info(\"This is my first spider.\")\r\n slide_links = response.css('div.theme_post a::attr(href)')\r\n for slide_link in slide_links:\r\n # title = problem_link.css('a::text')[0].get()\r\n link = slide_link.get()\r\n yield{\r\n \"link\": link,\r\n }\r\n # yield Request(link, callback=self.parse_problem)\r\n # for slide in slides:\r\n # loader: ItemLoader = ItemLoader(item=SlidesModelItem(), selector=slide)\r\n # loader.add_css(\"title\", \".item a::text\")\r\n # loader.add_css(\"category\", \".category::text\")\r\n # slide_item = loader.load_item()\r\n # link = slide.css(\".item a::attr(href)\").get()\r\n # self.logger.info(\"Parsing the slide\")\r\n # yield Request(link, callback=self.parse_slide, meta={\"slide_item\": slide_item})\r\n "}]} +{"file_name": "6553550c-478c-4c5c-a5d9-11d8166bcf7a.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n"}]} +{"file_name": "b9518363-79e4-4149-a521-88802e03dd9b.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "# This package will contain the spiders of your Scrapy project\r\n#\r\n# Please refer to the documentation for information on how to create and manage\r\n# your spiders.\r\n"}]} +{"file_name": "109d79ec-f86d-4c4a-bb82-488631e56b2e.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n"}]} +{"file_name": "d5332040-5acd-4d50-8f3a-f43272017244.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from .view import home"}]} +{"file_name": "0f1ce919-535e-44ff-a06a-8fb22c319191.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from flask import Blueprint, render_template\r\nfrom http import HTTPStatus\r\n\r\nhome = Blueprint(\"home\", __name__)\r\n\r\n\r\n@home.route(\"/\")\r\n@home.route(\"/home\")\r\n@home.route(\"/index\")\r\ndef home_page():\r\n \"\"\"Render the home page.\"\"\"\r\n return render_template(\"home/index.html\"), HTTPStatus.OK"}]} +{"file_name": "6fe1e2ce-767f-426b-b501-986b01015192.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from .view import auth, google_blueprint"}]} +{"file_name": "924d449f-6b9f-4cb2-8406-f82374f28e4f.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "\"\"\"This module declares methods for the login module.\"\"\"\r\nimport sys\r\nimport os\r\nfrom dotenv import load_dotenv\r\nfrom flask import Blueprint, redirect, url_for\r\nfrom flask_dance.consumer import oauth_authorized\r\nfrom flask_dance.consumer.storage.sqla import SQLAlchemyStorage\r\nfrom flask_dance.contrib.google import google, make_google_blueprint\r\nfrom flask_login import current_user, login_required, login_user, logout_user\r\nfrom sqlalchemy.exc import OperationalError\r\nfrom sqlalchemy.orm.exc import NoResultFound\r\n\r\n\r\n# from ..extensions.extensions import db\r\n# from .models.models import OAuth, User\r\n\r\n\r\nauth = Blueprint(\"auth\", __name__)\r\n\r\n\r\ngoogle_blueprint = make_google_blueprint(\r\n client_id=os.environ[\"GOOGLE_OAUTH_CLIENT_ID\"],\r\n client_secret=os.environ[\"GOOGLE_OAUTH_CLIENT_SECRET\"],\r\n scope=[\"profile\", \"email\"]\r\n)\r\n"}]} +{"file_name": "41391f53-ce6d-4838-ae34-afdbd71e6012.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from llama_index.embeddings.huggingface import HuggingFaceEmbedding\r\n\r\n# loads BAAI/bge-small-en\r\n# embed_model = HuggingFaceEmbedding()\r\n\r\n# loads BAAI/bge-small-en-v1.5\r\nembed_model = HuggingFaceEmbedding(model_name=\"BAAI/bge-small-en-v1.5\")\r\n\r\nembeddings = embed_model.get_text_embedding(\"Hello World!\")\r\nprint(len(embeddings))\r\nprint(embeddings[:5])"}]} +{"file_name": "8882761c-d6a5-400e-a464-28e32d0f3a96.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "import torch\r\nimport open_clip\r\nimport cv2\r\nfrom sentence_transformers import util\r\nfrom PIL import Image\r\n\r\n# image processing model\r\ndevice = \"cuda\" if torch.cuda.is_available() else \"cpu\"\r\nmodel, _, preprocess = open_clip.create_model_and_transforms('ViT-B-16-plus-240', \r\n pretrained=\"laion400m_e32\")\r\nmodel.to(device)\r\n\r\n\r\ndef imageEncoder(img):\r\n img1 = Image.fromarray(img).convert('RGB')\r\n img1 = preprocess(img1).unsqueeze(0).to(device)\r\n img1 = model.encode_image(img1)\r\n return img1\r\n\r\n\r\ndef generateScore(image1, image2):\r\n test_img = cv2.imread(image1, cv2.IMREAD_UNCHANGED)\r\n data_img = cv2.imread(image2, cv2.IMREAD_UNCHANGED)\r\n img1 = imageEncoder(test_img)\r\n img2 = imageEncoder(data_img)\r\n cos_scores = util.pytorch_cos_sim(img1, img2)\r\n score = round(float(cos_scores[0][0])*100, 2)\r\n return score\r\n\r\n\r\nimage1: str = \"cat.jpeg\"\r\nimage2: str = \"cat2.jpeg\"\r\n\r\nprint(f\"similarity Score: \", round(generateScore(image1, image2), 2))"}]} +{"file_name": "54cb9c94-738f-49a4-8d30-1de2ad5169ea.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "import whisper\r\nimport speech_recognition as sr\r\n\r\n\r\n# model = whisper.load_model(\"base\")\r\nfile_path: str = \"audio.wav\"\r\n# result = model.transcribe(file_path)\r\n# print(f' The text in video: \\n {result[\"text\"]}')\r\ndef audio_to_text(audio_path):\r\n \"\"\"\r\n Convert an audio file to text.\r\n\r\n Parameters:\r\n audio_path (str): The path to the audio file.\r\n\r\n Returns:\r\n test (str): The text recognized from the audio.\r\n\r\n \"\"\"\r\n recognizer = sr.Recognizer()\r\n audio = sr.AudioFile(audio_path)\r\n\r\n with audio as source:\r\n # Record the audio data\r\n audio_data = recognizer.record(source)\r\n\r\n try:\r\n # Recognize the speech\r\n text = recognizer.recognize_whisper(audio_data)\r\n except sr.UnknownValueError:\r\n print(\"Speech recognition could not understand the audio.\")\r\n except sr.RequestError as e:\r\n print(f\"Could not request results from service; {e}\")\r\n\r\n return text\r\n\r\ntext = audio_to_text(file_path)\r\nprint(text)"}]} +{"file_name": "36a99d83-c5ab-47f7-91be-bf2e52f2d774.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "import torch\r\nimport clip\r\nfrom PIL import Image\r\n\r\ndevice = \"cuda\" if torch.cuda.is_available() else \"cpu\"\r\nmodel, preprocess = clip.load(\"ViT-B/32\", device=device)\r\n\r\nimage = preprocess(Image.open(\"cat.jpeg\")).unsqueeze(0).to(device)\r\nlabels: list[str] = [\"a diagram\", \"a dog\", \"a cat\"]\r\ntext = clip.tokenize(labels).to(device)\r\n\r\nwith torch.no_grad():\r\n image_features = model.encode_image(image)\r\n text_features = model.encode_text(text)\r\n \r\n logits_per_image, logits_per_text = model(image, text)\r\n probs = logits_per_image.softmax(dim=-1).cpu().numpy()\r\n\r\nprint(\"Label probs:\", probs) # prints: [[0.9927937 0.00421068 0.00299572]]\r\nprint(labels[probs.argmax(-1)[0]])\r\n"}]} +{"file_name": "e6e78ea2-00a2-4097-93ec-d29975d2bdc9.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from .....libraries.youtube import YouTube"}]} +{"file_name": "f601ff6c-ec5e-40d3-b55b-de9ff6ee9509.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from collections import defaultdict\r\nfrom typing import Any\r\n\r\nfrom googleapiclient.http import MediaFileUpload\r\n\r\nfrom ...models import (\r\n BaseContentDetails,\r\n BaseSnippet,\r\n Language,\r\n LanguageSnippet,\r\n Region,\r\n RegionSnippet,\r\n Video,\r\n VideoAbuseReportReason,\r\n VideoAbuseReportReasonSnippet,\r\n VideoCategory,\r\n VideoCategorySnippet,\r\n)\r\nfrom ...schemas import (\r\n UploadVideo,\r\n VideoFilter,\r\n VideoOptionalParameters,\r\n VideoPart,\r\n VideoReportReasonSchema,\r\n YouTubeListResponse,\r\n YouTubeRatingResponse,\r\n YouTubeRequest,\r\n)\r\nfrom ..resource import YouTubeResource\r\n\r\n\r\nclass YouTubeVideo(YouTubeResource):\r\n def __init__(self, youtube_client: Any) -> None:\r\n super().__init__(youtube_client)\r\n\r\n def parse_snippet(self, snippet_data: dict[str, Any]) -> dict[str, Any]:\r\n base_snippet: BaseSnippet = self.parse_base_snippet(snippet_data)\r\n parsed_snippet: dict[str, Any] = base_snippet.model_dump()\r\n parsed_snippet['channel_id'] = snippet_data['channelId']\r\n parsed_snippet['channel_title'] = snippet_data['channelTitle']"}]} +{"file_name": "b7ce333c-9ad2-4a4f-842f-d8651ad0e458.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from .video import YouTubeVideo\r\n"}]} +{"file_name": "1942322c-468a-4834-a97a-98bb64523e3c.png", "messages": [{"role": "SYSTEM", "content": "You are a helpful assistant that knows how to extract python code from images."}, {"role": "USER", "content": "Extract python code from the given image."}, {"role": "ASSISTANT", "content": "from typing import Any\r\n\r\nfrom ...models import (\r\n Channel,\r\n ChannelContentDetails,\r\n ChannelSnippet,\r\n ChannelStatistics,\r\n ChannelStatus,\r\n)\r\nfrom ...schemas import (\r\n ChannelFilter,\r\n ChannelOptionalParameters,\r\n ChannelPart,\r\n YouTubeListResponse,\r\n YouTubeRequest,\r\n)\r\nfrom ..resource import YouTubeResource\r\n\r\n\r\nclass YouTubeChannel(YouTubeResource):\r\n def __init__(self, youtube_client: Any) -> None:\r\n super().__init__(youtube_client)\r\n\r\n def parse_snippet(self, snippet_data: dict[str, Any]) -> ChannelSnippet:\r\n snippet: dict = dict(**self.parse_base_snippet(snippet_data).model_dump())\r\n snippet['custom_url'] = snippet_data['customUrl']\r\n snippet['country'] = snippet_data.get('country', '')\r\n snippet['localized'] = self.parse_localizations(snippet_data['localized'])\r\n return ChannelSnippet(**snippet)\r\n\r\n def parse_content_details(\r\n self, content_details_data: dict\r\n ) -> ChannelContentDetails:\r\n content_details: dict = dict(\r\n **self.parse_base_content_details(content_details_data).model_dump()\r\n )\r\n content_details['related_playlists'] = content_details_data['relatedPlaylists']\r\n return ChannelContentDetails(**content_details)\r\n\r\n def parse_statistics(self, statistics_data: dict) -> ChannelStatistics:"}]}