Dongwook
Dongwook
I imported the .env file with gemini api key, and un # to load gemini model to agents but I'm still getting an error, could you upload or show how...
``` import os from dotenv import load_dotenv from crewai import Agent, Task, Process, Crew from langchain.agents import load_tools from langchain.agents import Tool from langchain.chat_models import ChatOpenAI from langchain.utilities import GoogleSerperAPIWrapper...
``` const schema = z.object({ name: z.string().min(2).max(40), mainPosition: z.string(), mainRating: z .number({ required_error: "Please enter a rating between 1-10", invalid_type_error: "Please enter a valid number", }) .positive(), subPosition: z.string(), subRating:...
API KEYS BING: Your Bing Search API key for web searching capabilities. GOOGLE_SEARCH: Your Google Search API key for web searching capabilities. GOOGLE_SEARCH_ENGINE_ID: Your Google Search Engine Id for web...
Exception has occurred: TypeError WebDriver.__init__() got an unexpected keyword argument 'executable_path' File "/home/dongwook/Project/pdf-crawler/crawler/crawl_methods.py", line 119, in load_driver self.driver = webdriver.Firefox(executable_path=self.executable_path, options=driver_options) File "/home/dongwook/Project/pdf-crawler/crawler/crawl_methods.py", line 196, in get_hrefs_js_complex self.load_driver() File "/home/dongwook/Project/pdf-crawler/crawler/crawler.py",...
I'm trying to crawl the website by using the feature in the app, but it kept stopping even the max links is set to over 100. I've even deleted and...
file:///home/dongwook/Documents/drawdb/node_modules/vite/bin/vite.js:7 await import('source-map-support').then((r) => r.default.install()) ^^^^^ SyntaxError: Unexpected reserved word I just followed the installation process and when i run npm run dev it shows that message
If I want to scrape a html element with some class how do I save those element data?
WARN[0000] /home/dongwook/Project/WARP-Clash-API/docker-compose.yaml: `version` is obsolete I just run the project after the cloning process.
``` from langchain_openai import AzureChatOpenAI from langchain_openai import AzureOpenAIEmbeddings import os llm_model_instance = AzureChatOpenAI( openai_api_version=os.environ["AZURE_OPENAI_API_VERSION"], azure_deployment=os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT_NAME"], ) embedder_model_instance = AzureOpenAIEmbeddings( openai_api_version = os.environ["AZURE_OPENAI_API_VERSION"], azure_deployment=os.environ["AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME"], ) graph_config = { "llm": {...