Var element = document.getElementById('textarea') Įlement.scrollTop = element.scrollHeight Ī link with more information and details on async functions is included at the bottom of the page! Inp.innerText="You: "+ String(input) +"\n\n" ĭocument.querySelector('#textarea').appendChild(inp) ĭocument.querySelector('#textarea').appendChild(div) Prompt_text = f", method: 'POST'Ĭonst inp = document.createElement("div") Ĭonst div = document.createElement("div") You:""" #continue adding questions and answers hereĪfter we add the training data, we need to write a function to take in a question and produce an answer based on the data: def ask(question, chat_log=None): #this first function recieves the question and uses the training data to return an answer You can access tutorials, your coding space, and new opportunities. Qoom: You should start by creating an account. Qoom: I'm afraid I'm not able to help you with that. Qoom: Apply to Qoom's Creator Group sessions to start getting involved. You: Can I get involved with the Qoom organization? You can also go to your coding space and select the Qoom of the Week tab to join a workshop. Qoom: Go to qoom.io and navigate to the Tutorials page to learn how to code new projects. Qoom: Go to your coding space and click New Project. Qoom: I am an AI tool to help you navigate the Qoom platform. Session_prompt = """Welcome! I am QoomBot, Qoom's very own AI based chatbot. The start sequence and restart sequence labeled at the beginning help the API understand when to start responding and when a user has restarted the conversation. Now, we will be adding in some training data of our own! Separate each question and answer set with a new line to indicate where each conversation ends. You will want to save your secret key as an env variable, whose name you will put in the place of "Your-Key-Variable" Openai.api_key = os.getenv('Your-Key-Variable') Here is the setup for the python file and API we will be using: from flask import Flask, request, sessionįrom flask import Flask, request, Response Most of the following work will be done in a single, new python file called app.py. Use Python and Open AI API to develop the backend chatbot The second div with id="textarea" is where the output will be printed.Ģ. The button, with type submit and the corressponding function send, will send the user's request to the back end later on. The input has the placeholder "How can we help you?" in order to prompt the user to ask a question. The first div holds an input element, and a button. Then add the following html elements to the elements: After creating an account, create a New Project and name it with a fake company name of your choosing. We are using Qoom so that we can create a login system without writing any backend code. If you haven't already, create an account on and follow along. Let's implement a basic structure to send input and recieve ouput using HTML, and we will design the bot later using CSS. It might be difficult to build the chatbot and test its functionality without starting with a basic page for sending inputs and recieving outputs. Create basic page to display input and output Get help from the Qoom team and our community members.
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