Langchain chatgpt example. ec/imy1t/new-puppy-hiding-in-corner.

In this quickstart we'll show you how to build a simple LLM application with LangChain. Mar 2, 2023 · An alternative explanation could be that ChatGPT was more able to actually understand that "praised her legal ability" was consistent with the answers given. Creating embeddings and Vectorization. Create 🦜️🔗 LangChain apps by just using prompts🌟 Star to support our work! | 只需使用句子即可创建 LangChain 应用程序。 给个star支持我们的工作吧！ python agent demo ai artificial-intelligence openai agents autonomous-agents streamlit streamlit-application gpt-4 llms chatgpt langchain chatgpt-api gpt3-turbo May 4, 2023 · After we initialized ChatGPT in line 18, we create a ConversationalRetrievalChain (line 21). openai. Create the Chatbot Agent. This chatbot will be able to have a conversation and remember previous interactions. Copy the secret key and save it in a Notepad or any Sticky Notes for future use. ChatGPT's conversational capabilities, along with LangChain's language understanding expertise, open up new possibilities for AI-driven solutions across various industries. I. In the API Keys section, click on + Create new secret key button. Oct 12, 2023 · Conceptual Design of LangChain SQL Agent. Credentials Head to the Azure docs to create your deployment and generate an API key. Although the key content will always store either the user prompt or the chatbot’s completion, the key role is much more versatile. In the era of digital communication, chatbots have emerged as a powerful tool for businesses, organizations, and users alike. OpenAI has a tool calling (we use "tool calling" and "function calling" interchangeably here) API that lets you describe tools and their arguments, and have the model return a JSON object with a tool to invoke and the inputs to that tool. title() method: st. Aug 22, 2023 · Creating Custom ChatGPT with Your Own Dataset using OpenAI GPT-3. LangChain appeared around the same time. In the ensuing sections, we’ll delve deeper into the implementation nuances of utilizing these technologies conjointly, enabling you to facilitate Aug 29, 2023 · An LLM Chain, short for Large Language Model Chain, is a powerful concept within the LangChain framework that combines different primitives and large language models (LLMs) to create a sequence of operations for natural language processing (NLP) tasks such as completion, text generation, text classification, etc. For this tutorial, let’s assume you’re Example selectors in LangChain serve to identify appropriate instances from the model's training data, thus improving the precision and pertinence of the generated responses. While this tutorial focuses how to use examples with a tool calling model, this technique is generally applicable, and will work also with JSON more or prompt based techniques. If you have better ideas, please open a PR! Conclusion. Apr 26, 2023 · The Synergy of ChatGPT and 🦜🔗LangChain. load Mar 6, 2023 · The new ChatGPT endpoint has an interface of: Input: List of chat messages; Output: chat message; This new interface means that some of our abstractions about the inputs/outputs to a language model are no longer correct. In summary, while the performance of fine-tuned ChatGPT is still slightly below that of GPT-4 with chain of density prompting for summarization it far surpasses zero-shot GPT-4 while being 63% cheaper and 11x faster. import subprocess. If you want this type of functionality for webpages in general, you should check out his browser Apr 8, 2023 · We start off by building a simple LangChain large language model powered by ChatGPT. System, Assistant, and User Roles. Key Links. To access the OpenAI key, make an account on the OpenAI platform. 230K subscribers in the ChatGPTPro community. Below are a couple of examples to illustrate this -. Question-Answering has the following steps: Given the chat history and new user input, determine what a standalone question would be using May 2, 2023 · Knowledge Base: Create a knowledge base of "Stuff You Should Know" podcast episodes, to be accessed through a tool. Langchain Decorators: a layer on the top of LangChain that provides syntactic sugar 🍭 for writing custom langchain prompts and chains ; FastAPI + Chroma: An Example Plugin for ChatGPT, Utilizing FastAPI, LangChain and Chroma; AilingBot: Quickly integrate applications built on Langchain into IM such as Slack, WeChat Work, Feishu, DingTalk. Jun 10, 2024 · Langchain played a pivotal role in the backend systems of our application, providing wrappers for language models like ChatGPT and enabling easy interaction with underlying services. py. Developers working on these types of interfaces use various tools to create advanced NLP apps; LangChain streamlines this process. %load_ext autoreload %autoreload 2. By default, this LLM uses the “text-davinci-003” model. If you have better ideas, please open a PR! Apr 3, 2023 · Conclusion. This is a starting point that can be used for more sophisticated chains. Create a Neo4j Cypher Chain. Go to API keys and Generate API key with the option : Create new secret key. 4. LangChain’s Oct 11, 2023 · The LangChain library makes it incredibly easy to start with a basic chatbot. title('🦜🔗 Quickstart App') The app takes in the OpenAI API key from the user, which it then uses togenerate the responsen. To get started, we will be cloning this LangChain + Next. Plugins allow ChatGPT to do things like: Basic Example (using the Docker Container) You can also run the Chroma Server in a Docker container separately, create a Client to connect to it, and then pass that to LangChain. Langchain provides a standard interface for accessing LLMs, and it supports a variety of LLMs, including GPT-3, LLama, and GPT4All. The key role indicates the owner of the message in content. I use the cosine similarity metric to search for similar documents: This will create a vector table: Tool calling . js, Langchain, OpenAI LLMs and the Vercel AI SDK. These selectors can be adjusted to favor certain types of examples or filter out unrelated ones, providing a tailored AI response based on user input. This example shows how to use ChatGPT Plugins within LangChain abstractions. Jun 27, 2023 · Extract text or structured data from a PDF document using Langchain. OpenAI plugins connect ChatGPT to third-party applications. Transform the extracted data into a format that can be passed as input to ChatGPT. Add your OpenAPI key and submit (you are only submitting to your local Flask backend). Python 3. Jun 4, 2023 · In our chat functionality, we will use Langchain to split the PDF text into smaller chunks, convert the chunks into embeddings using OpenAIEmbeddings, and create a knowledge base using F. So it’s recommended to copy and paste the API key to a Notepad file for later use. prompts import ChatPromptTemplate, MessagesPlaceholder This is a very simple example that contains only one interaction. Feb 6, 2023 · Wouldn’t it be useful if it did? This is where LangChain comes in. Using LangChain, developers can replicate the capabilities of ChatGPT, such as creating chatbots or Q&A systems, without having to use the unofficial API. Introduction to Langchain. Fill in the required details (Name, Date of Birth, Mobile Number, etc. Step 3: Answer generation. When combined, ChatGPT and LangChain form an incredibly powerful force in the AI space. import os. Create Wait Time Functions. LangGraph exposes high level interfaces for creating common types of agents, as well as a low-level API for composing custom flows. From handling customer service inquiries to providing interactive experiences, these ChatGPT & langchain example for node. 0. This is "Hello World" for working with vanilla ChatGPT API in Python. Here, browsing capabilities refers to allowing the model to consult external sources to extend its knowledge base and fulfill user requests more effectively than relying solely on the model’s pre-existing knowledge. Apr 21, 2023 · Even though PalChain requires an LLM (and a corresponding prompt) to parse the user’s question written in natural language, there are some chains in LangChain that don’t need one. Next, we need a function that’ll check out the latest copy of a GitHub repo, crawl it for markdown files, and return some LangChain Document s. When we're done, we'll have a jumping off point to start building LLM powered apps with the LangChain framework. The complete list is here. If you have better ideas, please open a PR! tip. The goal of LangChain is to make it easier for everyone to develop language model applications. Its creator, Harrison Chase, made the first commit in late October 2022. Note 1: This currently only works for plugins with no auth. We can see in this example that the GPT3 is nearly exactly the same as the real answer. Langchain + Next. When a user submits a question, it is transformed into an embedding using the same process applied to the text snippets. Its powerful abstractions allow developers to quickly and efficiently build AI-powered applications. Langchain is a language-agnostic transfer learning framework developed by OpenAI. langgraph. A LangChain to production workflow Apr 4, 2023 · The ChatGPT clone, Talkie, was written on 1 April 2023, and the video was made on 2 April. By using these examples, you can seed answers to common questions to prime the model or teach particular behaviors to the model. LangChain is a framework that makes it easier to build scalable AI/LLM apps and chatbots. We can rebuild LangChain demos using LLama 2, an open-source model. Reply. Sep 4, 2023 · You can do this by visiting the official documentation of OpenAI and creating an account, once done, head to the API tab and get an API key. Agents Aug 15, 2023 · This section sets up a summarizer using the ChatOpenAI model from LangChain. chat_message_histories import ChatMessageHistory. 190) with ChatGPT under the hood. Jan 23, 2024 · In this Python code, we import the FewShotPromptTemplate from LangChain and then add a few examples. LangChain ChatModels supporting tool calling features implement a . Don’t worry, you don’t need to be a mad scientist or a big bank account to develop and Working code to save OpenAI embeddings as a FAISS index. 2. %pip install --upgrade --quiet langchain-google-genai pillow. Any guidance, code examples, or resources would be greatly appreciated. json from your ChatGPT data export folder. If you have a mix of text files, PDF documents, HTML web pages, etc, you can use the document loaders in Langchain. Sep 19, 2023 · Step 3. 5 engine, we enhanced the chatbot’s ability to understand and respond to user queries, facilitating human-like Jul 29, 2023 · Get the OpenAI API Key For Free. Apr 25, 2023 · Screenshot from the Web UI this code generates. Feb 25, 2023 · LangChain is a powerful tool that can be used to work with Large Language Models (LLMs). It can be imported using the following syntax: 1. ChatGPT is the Artificial Intelligence (AI) chatbot developed by OpenAI. js This repository contains containerized code from this tutorial modified to use the ChatGPT language model, trained by OpenAI, in a node. Run on your local environment Pre-reqs. After all these giant leaps forward in the LLM space, OpenAI released ChatGPT — thrusting LLMs into the spotlight. llms import OpenAI Next, display the app's title "🦜🔗 Quickstart App" using the st. ChatGPT Data ChatGPT is an artificial intelligence (AI) chatbot developed by OpenAI. With the ability to understand natural language, ChatGPT can provide healthcare professionals with relevant and timely information, answer their questions, and facilitate decision-making. To start a conversation with ChatGPT, we need to specify a question and a chat history (lines 24–29 and line 31) so that it remembers the previous conversations, for example, in case we reference in a follow-up question to a previous answer. Oct 10, 2023 · Fine-tuned ChatGPT also achieves a win rate of 96% against GPT-4 zero-shot in pairwise evaluation. langgraph is an extension of langchain aimed at building robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph. Mar 6, 2024 · Query the Hospital System Graph. def get_github_docs(repo_owner, repo_name): with tempfile. We recently published a guide on how to create your own ChatGPT over your data here. OpenAI systems run on an Azure -based supercomputing platform from Microsoft. The synergy of these technologies For a model to be able to invoke tools, you need to pass tool schemas to it when making a chat request. Huge shoutout to Zahid Khawaja for collaborating with us on this. It works by taking a big source of data, take for example a 50-page PDF, and breaking it down into "chunks" which are then embedded into a Vector Store. For example, the prompting strategies we had previously built all assumed that the output of the PromptTemplate was a string. chat_models import ChatOpenAI from langchain. from langchain_core. By following these steps, we have successfully developed an easy-to-use and customisable chat interface that allows us to interact with GPT-based models without relying on apps like ChatGPT. In this guide, we will learn the fundamental concepts of LLMs and explore how LangChain can simplify interacting with large language models. In the next section, we will explore the different ways you can run prompt templates in LangChain and how you can leverage the power of prompt templates to generate high-quality prompts for your language models. Provide any name (Optional) and click on Create secret key. chat_with_csv_verbose. Leveraging OpenAI’s embeddings and GPT-3. Chroma has the ability to handle multiple Collections of documents, but the LangChain interface expects one, so we need to specify the collection name. Building the Chatbot Application with Streamlit. Normally, there is no way an LLM would know such recent information, but using LangChain, I made Talkie search on the Internet and responded based on the information it found. embeddings. In few-shot prompting, a prefix and suffix are used to set the context and task for the model. May 18, 2023 · This helps guide the LLM into actually defining functions and defining the dependencies. 2️⃣ Followed by a few practical examples illustrating how to introduce context into the conversation via a few-shot learning approach, using Langchain and HuggingFace. Give it a name and a dimension. This application will translate text from English into another language. In this step, the code creates embeddings using the OpenAIEmbeddings class from langchain. Today we’re excited to announce and showcase an open source chatbot specifically geared toward answering questions about LangChain’s documentation. Apr 14, 2023 · By combining the capabilities of LangChain and Gradio, a ChatGPT bot with internet access and memory retention can be developed. import tempfile. Nov 15, 2023 · Integrated Loaders: LangChain offers a wide variety of custom loaders to directly load data from your apps (such as Slack, Sigma, Notion, Confluence, Google Drive and many more) and databases and use them in LLM applications. chat_models import AzureChatOpenAI. tool-calling is extremely useful for building tool-using chains and agents, and for getting structured outputs from models more generally. Do note that you can’t copy or view the entire API key later on. This allows the chatbot to provide more informed and context-aware May 30, 2023 · Examples include summarization of long pieces of text and question/answering over specific data sources. Note 2: There are almost certainly other ways to do this, this is just a first pass. Apr 8, 2023 · if you built a full-stack app and want to save user's chat, you can have different approaches: 1- you could create a chat buffer memory for each user and save it on the server. It enables applications that: Are context-aware: connect a language model to sources of context (prompt instructions, few shot examples, content to ground its response in, etc. Head to OpenAI’s website ( visit) and log in. Apr 26, 2023 · By understanding context and maintaining coherence, ChatGPT enables seamless, intelligent conversations between humans and AI. Still, this is a great way to get started with LangChain - a lot of features can be built with just some prompting and an LLM call! OpenAI plugins connect ChatGPT to third-party applications. In this article, I will walk you through utilizing Langchain with ChatGPT, offering my own tips and insights throughout the process. Working code to load a FAISS index and begin chatting with your docs. Step 4: Build a Graph RAG Chatbot in LangChain. Step 6. 5-turbo’ to use the ChatGPT model. There are two components: ingestion and question-answering. Simple Diagram of creating a Vector Store In this guide, we will be learning how to build an AI chatbot using Next. js starter template that showcases how to use various LangChain modules for diverse use cases, including: Simple chat interactions May 17, 2023 · Langchain is a Python module that makes it easier to use LLMs. Next, we set the message to LLM which has two parts – System Message and Human Message – To access AzureOpenAI models you'll need to create an Azure account, create a deployment of an Azure OpenAI model, get the name and endpoint for your deployment, get an Azure OpenAI API key, and install the langchain-openai integration package. from langchain. May 21, 2023 · Building an Interactive Chatbot with Langchain, ChatGPT, Pinecone, and Streamlit. ) Reason: rely on a language model to reason (about how to answer based on provided Mar 15, 2024 · Langchain is an impactful tool that can substantially improve ChatGPT’s abilities. I used “1536” for the dimension, as it is the size of the chosen embedding from the OpenAI embedding model. Nov 29, 2023 · Chat Model Example in LangChain. 8+ Azure Functions Jun 1, 2023 · In short, LangChain just composes large amounts of data that can easily be referenced by a LLM with as little computation power as possible. For example, LLMs have to access large volumes of big data, so LangChain organizes these large quantities of Jun 20, 2023 · In this story we will describe how you can create complex chain workflows using LangChain (v. It’s all for free for a given amount of tokens, just LangChain is an open-source framework designed for developing applications powered by a language model. Next, the example that GPT3 graded as correct for both, but ChatGPT graded as incorrect for ChatGPT. import { OpenAI } from "langchain/llms/openai"; The OpenAI API uses API keys for authentication. We will use the OpenAI API to access GPT-3, and Streamlit to create a user May 2, 2023 · In conclusion, building a chatbot with ChatGPT can enable the extraction of valuable insights from healthcare documents. js. Mar 5, 2024 · To integrate this function into a Langchain pipeline, we can create a TransformChain that takes the image_path as input and produces the image (base64-encoded string) as outputCopy code. Create a Neo4j Vector Chain. ChatGPT plugin. We define a prompt template for summarization, create a chain using the model and the prompt, and then define a tool for summarization. 5. When using ChatGPT, we can have up to three roles For example, you can invoke a prompt template with prompt variables and retrieve the generated prompt as a string or a list of messages. Task. Also, we import AIMessage, HumanMessage, SystemMessage modules of LangChain. Now that your environment is ready, you can run your first LangChain command. Next, click on “ Create new secret key ” and copy the API key. TemporaryDirectory() as d: The previous examples pass messages to the chain explicitly. Access Google AI's gemini and gemini-vision models, as well as other generative models through ChatGoogleGenerativeAI class in the langchain-google-genai integration package. But even still, there is a Jun 8, 2023 · Step 2: User query processing. 【Logging・Streaming・Token Counting】 22 ChatGPTのウェブアプリ開発入門【Python x LangChain x Streamlit】 23 LangChainによる「Youtube動画を学習させる方法」 24 LangChainによる「特定のウェブページを学習させる方法」 25 LangChainによる「特定のPDFを学習させる方法」 26 LangChainに OpenAI conducts AI research with the declared intention of promoting and developing a friendly AI. This notebook covers how to load conversations. They accept a config with a key ( "session_id" by default) that specifies what conversation history to fetch and prepend to the input, and append the output to the same conversation history. S. The OpenAI API is powered by a diverse set of models with different capabilities and price points. Integrate the extracted data with ChatGPT to generate responses based on the provided information. Setting up HuggingFace🤗 For QnA Bot Apr 3, 2023 · 2. js Starter. Subreddit dedicated to discussions on the advanced capabilities and professional applications of…. We'll go over an example of how to design and implement an LLM-powered chatbot. There are several other related concepts that you may be looking for: LangChain is a framework for developing applications powered by language models. Initializing the Agent Apr 10, 2024 · You can now include a series of messages between the user and the assistant in the prompt as few-shot examples. Leaving a short couple of months of development before getting caught in the LLM wave. Mar 28, 2024 · LangChain with Azure OpenAI and ChatGPT (Python v2 Function) This sample shows how to take a human prompt as HTTP Get or Post input, calculates the completions using chains of human input and templates. LangChain is a powerful Python library designed for natural language processing (NLP). LLM Agent with Tools: Extend the agent with access to multiple tools and test that it uses them to answer questions. S May 11, 2023 · W elcome to Part 1 of our engineering series on building a PDF chatbot with LangChain and LlamaIndex. For example, imagine you want to use an LLM to answer questions about a specific field, like medicine Jan 31, 2023 · 1️⃣ An example of using Langchain to interface to the HuggingFace inference API for a QnA chatbot. The reason to select chat model is the gpt-35-turbo model is optimized for chat, hence we use AzureChatOpenAI class here to initialize the instance. Sep 29, 2023 · LangChain is a JavaScript library that makes it easy to interact with LLMs. Create a Chat UI With Streamlit. We can now run the application with the following command: streamlit run app. The autoreload extension is already loaded. Tech stack used includes LangChain, Pinecone, Typescript, Openai, and Next. Next, we create the sample template, prompt example, and break out the prompt into prefix and suffix. Let’s see another example, which I copied and pasted from one of my older langchain agents (hence the weird instructions). Jul 27, 2023 · LangChain has example apps for use cases, from chatbots to agents to document search, using closed-source LLMs. - arvind1606/LangChain_SERP_API_example SerpAPI is a Search Engine Results Page (SERP) API that provides an easy way to retrieve search engine results in a structured format. ) Step 4. Step 5: Deploy the LangChain Agent. These plugins enable ChatGPT to interact with APIs defined by developers, enhancing ChatGPT's capabilities and allowing it to perform a wide range of actions. It depends what you want to achieve, sometimes the default davinci model works better than gpt-3. Below is an example: from langchain_community. This story is a follow up of a previous story on Medium and is… Sep 28, 2023 · Initialize LangChain chat_model instance which provides an interface to invoke a LLM provider using chat API. Ingestion has the following steps: Create a vectorstore of embeddings, using LangChain's Weaviate vectorstore wrapper (with OpenAI's embeddings). Langchain's RetrievalQA, in conjunction with ChromaDB, then identifies the most relevant text snippets based on their embeddings. This is a completely acceptable approach, but it does require external management of new messages. Apr 13, 2023 · We’ll use LangChain🦜to link gpt-3. If you have watched the ChatGPT browser plugin video, this is a bit like it. Thank you! This example shows how to use ChatGPT Plugins within LangChain abstractions. May 31, 2023 · langchain, a framework for working with LLM models. Plugins allow ChatGPT to do things like: This notebook shows how to use the ChatGPT Retriever Plugin within LangChain. Step 5. In this example, we are using the OpenAI chat model on which the popular ChatGPT platform is based. The code will call two functions that set the OpenAI API Key as an environment variable, then initialize LangChain by fetching all the documents in docs/ folder. Create a new code cell and enter/execute the following code: The above Python code is using the LangChain library to interact with an OpenAI model, specifically the “ text-davinci-003 ” model. In this step, the retrieval of relevant documents takes place. First, you need to load your document into LangChain’s `Document` class. Note that this chatbot that we build will only use the language model to have a conversation. This included an example GitHub repo to start from and customize. 0. You can utilize its capabilities to build powerful applications that make use of AI models like ChatGPT while integrating with external sources such as Google Drive, Notion, and Wikipedia. Pinecone is a vectorstore for storing embeddings and your PDF in text to later retrieve similar Aug 29, 2023 · Executing ‘Hello World’ Program using LangChain. 1. It enables developers to convert text into embeddings, which are vector representations of textual data. 9. But open-source LLMs are now offering high-quality plus the flexibility, security, and privacy missing from many closed-source models. ”. The quality of extractions can often be improved by providing reference examples to the LLM. bind_tools method, which receives a list of LangChain tool objects, Pydantic classes, or JSON Schemas and binds them to the chat model in the provider-specific expected format Oct 23, 2023 · Step 4: Knowledge retrieval. 🦜🔗 LangChain. This example shows how you can use few-shot learning with GPT-35-Turbo and GPT-4. js project using LangChain. I leveraged a sample dataset of the Sales Performance DQLab Store from Kaggle to chat with data to figure out valuable insight. In this article, I will show how to use Langchain to analyze CSV files. Unlike ChatGPT, which offers limited context on our data (we can only provide a maximum of 4096 tokens), our chatbot will be able to process CSV data and manage a large database thanks to the use of embeddings and a vectorstore. ipynb <-- Example of using LangChain to interact with CSV data via chat, containing a verbose switch to show the LLM thinking process. Once again, LangChain provides various retrieval algorithms to fetch the desired information. 5 Model, LlamaIndex, and LangChain model series which developed by OpenAI is a well-known example of LLM. but as the name says, this lives on memory, if your server instance restarted, you would lose all the saved data. This is a relatively simple LLM application - it's just a single LLM call plus some prompting. The default . You can see another example here. In this tutorial, we will learn how to use LangChain Tools to build our own GPT model with browsing capabilities. ChatGPT is a GPT-3 based chatbot and currently does not have an official API. LangChain’s Document Loaders and Utils modules facilitate connecting to sources of data and computation. We can pass in the argument model_name = ‘gpt-3. Run this code only when you're finished. We use ChatGPT 3, 5 16k context as most web pages will exceed the 4k context of ChatGPT 3. LangChain provides a standard interface, lots of integrations, and end-to-end chains for common LangChain with Azure OpenAI and ChatGPT (Python v2 Function) This sample shows how to take a human prompt as HTTP Get or Post input, calculates the completions using chains of human input and templates. By integrating SerpAPI with Langchain, you can enable your ChatGPT model to search the web and obtain relevant information without manually parsing web pages. LangChain also includes an wrapper for LCEL chains that can handle this process automatically called RunnableWithMessageHistory. A. These are mainly transformation chains that preprocess the prompt, such as removing extra spaces, before inputting it into the LLM. The Use the new GPT-4 api to build a chatGPT chatbot for multiple Large PDF files. import getpass. 5 to our data and Streamlit to create a user interface for our chatbot. Serve the Agent With FastAPI. Your job is to plot an example chart using matplotlib. Reproducing that same app "Hello World" app using LangChain, ChatGPT API, and Python. Once you've This example shows how to use ChatGPT Plugins within LangChain abstractions. These embeddings are then passed to the Jun 6, 2023 · In the “indexes” tab, click on “create index. js , an API for language models. Create your own random data. so this is not a real persistence. If you have better ideas, please open a PR! llm = ChatOpenAI(temperature=0)tools = load_tools(["requests_all"])tools +=[tool Jun 4, 2023 · from langchain. Apr 29, 2023 · A bare-bones ChatGPT implementation on the command line. prompts import SystemMessagePromptTemplate, HumanMessagePromptTemplate, ChatPromptTemplate # initialize ChatGPT model chat = ChatOpenAI LangChain is a framework that simplifies the process of creating generative AI application interfaces. import streamlit as st from langchain. Jan 16, 2023 · LangChain Chat. ee ir ye mk ey qd vi tr iy ng