{"id":1711,"date":"2023-03-24T08:42:27","date_gmt":"2023-03-24T08:42:27","guid":{"rendered":"https:\/\/www.techcronus.com\/blog\/?p=1711"},"modified":"2025-05-28T06:30:37","modified_gmt":"2025-05-28T06:30:37","slug":"web-assistant-django-with-gpt3-api-python","status":"publish","type":"post","link":"https:\/\/www.techcronus.com\/blog\/web-assistant-django-with-gpt3-api-python\/","title":{"rendered":"How to Build a Web Assistant Using Django and OpenAI GPT-3.5 API in Python"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_76 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.techcronus.com\/blog\/web-assistant-django-with-gpt3-api-python\/#Building_Web_Assistant_Using_Django_and_OpenAI_GPT-35_API\" >Building Web Assistant Using Django and OpenAI GPT-3.5 API<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.techcronus.com\/blog\/web-assistant-django-with-gpt3-api-python\/#How_to_integrate_AI_and_use_ChatGPT_in_a_Python_script\" >How to integrate AI and use ChatGPT in a Python script?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.techcronus.com\/blog\/web-assistant-django-with-gpt3-api-python\/#Set_Up_Your_OpenAI_API_Key\" >Set Up Your OpenAI API Key<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.techcronus.com\/blog\/web-assistant-django-with-gpt3-api-python\/#How_to_use_ChatGPT_API_parameters\" >How to use ChatGPT API parameters<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.techcronus.com\/blog\/web-assistant-django-with-gpt3-api-python\/#Output\" >Output<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.techcronus.com\/blog\/web-assistant-django-with-gpt3-api-python\/#Handling_errors_from_the_OpenAI_GPT-35_API\" >Handling errors from the OpenAI GPT-3.5 API<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.techcronus.com\/blog\/web-assistant-django-with-gpt3-api-python\/#Conclusion\" >Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<p><span style=\"font-weight: 400;\">Want to<\/span><b> build a web assistant Using Django and OpenAI GPT-3.5 API in Python?\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Want to add AI magic to your coding?\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Yes, we are talking about integrating OpenAI GPT-3.5 API \u2013 the powerhouse of large language models into Python scripts. Start leveraging <\/span><a href=\"https:\/\/www.techcronus.com\/openai-chatgpt-chatbot-development\"><b>ChatGPT development services<\/b><\/a> <span style=\"font-weight: 400;\">and build a powerful web assistant now!\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Artificial Intelligence is gaining immense popularity and bringing automation at an increasing rate. Looking towards the growing advancement, web applications are integrating with various machine learning models for adding sophistication to the app. Gradually, it will be able to handle every complex task with the utmost ease.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For instance, an intelligent web app can offer 360-degree services \u2013 from taking customer orders online to attending and responding to their queries, suggesting solutions, and giving feedback at the helm. You can seek <\/span><a href=\"https:\/\/www.techcronus.com\/\"><span style=\"font-weight: 400;\">professional assistance <\/span><\/a><span style=\"font-weight: 400;\">to <\/span><b>build a web application <\/b><span style=\"font-weight: 400;\">with ChatGPT.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Building_Web_Assistant_Using_Django_and_OpenAI_GPT-35_API\"><\/span>Building Web Assistant Using Django and OpenAI GPT-3.5 API<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">If you have ever thought of <\/span><b>building an intelligent web application <\/b><span style=\"font-weight: 400;\">for your enterprise, this blog is for you. Here, you will learn how to build a web assistant using Django and Open AI GPT- 3.5 API in Python.\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/www.djangoproject.com\/\"><span style=\"font-weight: 400;\">Django<\/span><\/a><span style=\"font-weight: 400;\"> is a high-level and powerful web framework that helps you to develop complex, data-driven websites with pragmatic designs. It enables the rapid development of secure and maintainable websites.<\/span><\/p>\n<p><a href=\"https:\/\/openai.com\/\"><span style=\"font-weight: 400;\">OpenAI<\/span><\/a><span style=\"font-weight: 400;\"> GPT-3.5 API is a machine-learning platform that understands as well as generates natural language or code and solves complex problems with greater accuracy. It lets you train and deploy AI models for streamlining automation in the business.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This web assistant will resolve your queries pertaining to sports, education, digital media, entertainment, technology, and more. If you want to start building a web assistant using these powerful frameworks, start by setting up a development environment. Further, create a Django application.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Once it is done, you will have to integrate the Django framework with the OpenAI GPT-3.5 API. Test the performance and bring it into action. Follow this step-by-step tutorial on building AI Chatbot with DialoGPT.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_to_integrate_AI_and_use_ChatGPT_in_a_Python_script\"><\/span>How to integrate AI and use ChatGPT in a Python script?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Want to start using the ChatGPT language model in the Python script? Start using the <\/span><a href=\"https:\/\/platform.openai.com\/docs\/libraries\"><span style=\"font-weight: 400;\">OpenAI Python library<\/span><\/a><span style=\"font-weight: 400;\"> (currently v0.27.0) -:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Firstly, you have to sign up for OpenAI API access <\/span><span style=\"font-weight: 400;\">here <\/span><span style=\"font-weight: 400;\">and get the API key. You can install it using pip, the Python package manager, with the following command:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">pip install openai<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Set_Up_Your_OpenAI_API_Key\"><\/span>Set Up Your OpenAI API Key<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">After signing up for the OpenAI API access, you need to set up your OpenAI API key. Create an environment variable named OPENAI_API_KEY and put your API key as its value to configure your API key.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In case, if you do not have one, you have to follow these instructions mentioned in the <\/span><span style=\"font-weight: 400;\">OpenAI API documentation 23<\/span><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Now, add the next line to your Python code to import the OpenAI API client: import open<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Initialize the OpenAI API client by adding the following lines to your Python code:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This specifies which GPT model you are using as there are various other models available. Every model has their own unique set of capabilities and performance characteristics.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Furthermore, write the openai.Completion.create() function for creating text using the ChatGPT language model.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0Have a look here at how you can generate a response to a given prompt. Note that there is an initial &#8220;system&#8221; prompt, followed by the user&#8217;s question:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">response = openai.ChatCompletion.<\/span><span style=\"font-weight: 400;\">create<\/span><span style=\"font-weight: 400;\">(<\/span><\/p>\n<p><span style=\"font-weight: 400;\">model=<\/span><span style=\"font-weight: 400;\">&#8216;gpt-3.5-turbo&#8217;<\/span><span style=\"font-weight: 400;\">,<\/span><\/p>\n<p><span style=\"font-weight: 400;\">messages=[<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0<\/span> <span style=\"font-weight: 400;\">{<\/span><span style=\"font-weight: 400;\">&#8220;role&#8221;<\/span><span style=\"font-weight: 400;\">: <\/span><span style=\"font-weight: 400;\">&#8220;system&#8221;<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">&#8220;content&#8221;<\/span><span style=\"font-weight: 400;\">: <\/span><span style=\"font-weight: 400;\">&#8220;You are a helpful assistant.&#8221;<\/span><span style=\"font-weight: 400;\">},<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0<\/span> <span style=\"font-weight: 400;\">{<\/span><span style=\"font-weight: 400;\">&#8220;role&#8221;<\/span><span style=\"font-weight: 400;\">: <\/span><span style=\"font-weight: 400;\">&#8220;user&#8221;<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">&#8220;content&#8221;<\/span><span style=\"font-weight: 400;\">: <\/span><span style=\"font-weight: 400;\">&#8220;Hello, ChatGPT!&#8221;<\/span><span style=\"font-weight: 400;\">},<\/span><\/p>\n<p><span style=\"font-weight: 400;\">])<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">message = response.choices[0][<\/span><span style=\"font-weight: 400;\">&#8216;message&#8217;<\/span><span style=\"font-weight: 400;\">]<\/span><\/p>\n<p><span style=\"font-weight: 400;\">print<\/span><span style=\"font-weight: 400;\">(<\/span><span style=\"font-weight: 400;\">&#8220;{}: {}&#8221;<\/span><span style=\"font-weight: 400;\">.<\/span><span style=\"font-weight: 400;\">format<\/span><span style=\"font-weight: 400;\">(message[<\/span><span style=\"font-weight: 400;\">&#8216;role&#8217;<\/span><span style=\"font-weight: 400;\">], message[<\/span><span style=\"font-weight: 400;\">&#8216;content&#8217;<\/span><span style=\"font-weight: 400;\">]))<\/span><\/p>\n<p><b>Output<\/b><\/p>\n<p><span style=\"font-weight: 400;\">assistant: Hello! How can I assist you today?<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Awesome, right? Let\u2019s take a look at another example of how to integrate ChatGPT into Python, this time using more parameters.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_to_use_ChatGPT_API_parameters\"><\/span>How to use ChatGPT API parameters<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">In the below example, more parameters are added to openai.ChatCompletion.create() to generate a response. Here\u2019s what each means:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">engine<\/span><span style=\"font-weight: 400;\"> parameter specifies which language model to use (\u201ctext-davinci-002\u201d is the most powerful GPT-3 model at the time of writing)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">prompt<\/span><span style=\"font-weight: 400;\"> parameter is the text prompt to generate a response to<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">max_tokens<\/span><span style=\"font-weight: 400;\"> parameter sets the maximum number of tokens (words) that the model should generate<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">temperature<\/span><span style=\"font-weight: 400;\"> parameter controls the level of randomness in the generated text<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">stop<\/span><span style=\"font-weight: 400;\"> parameter can be used to specify one or more strings that should be used to indicate the end of the generated text<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">If you want to generate multiple responses, you can set <\/span><span style=\"font-weight: 400;\">n<\/span><span style=\"font-weight: 400;\"> to the number of responses you want returned<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The <\/span><span style=\"font-weight: 400;\">strip()<\/span><span style=\"font-weight: 400;\"> method removes any leading and trailing spaces from the text.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">response = openai.ChatCompletion.<\/span><span style=\"font-weight: 400;\">create<\/span><span style=\"font-weight: 400;\">(<\/span><\/p>\n<p><span style=\"font-weight: 400;\">model=<\/span><span style=\"font-weight: 400;\">&#8216;gpt-3.5-turbo&#8217;<\/span><span style=\"font-weight: 400;\">,<\/span><\/p>\n<p><span style=\"font-weight: 400;\">n=1,<\/span><\/p>\n<p><span style=\"font-weight: 400;\">messages=[<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0<\/span> <span style=\"font-weight: 400;\">{<\/span><span style=\"font-weight: 400;\">&#8220;role&#8221;<\/span><span style=\"font-weight: 400;\">: <\/span><span style=\"font-weight: 400;\">&#8220;system&#8221;<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">&#8220;content&#8221;<\/span><span style=\"font-weight: 400;\">: <\/span><span style=\"font-weight: 400;\">&#8220;You are a helpful assistant with exciting, interesting things to say.&#8221;<\/span><span style=\"font-weight: 400;\">},<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0<\/span> <span style=\"font-weight: 400;\">{<\/span><span style=\"font-weight: 400;\">&#8220;role&#8221;<\/span><span style=\"font-weight: 400;\">: <\/span><span style=\"font-weight: 400;\">&#8220;user&#8221;<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">&#8220;content&#8221;<\/span><span style=\"font-weight: 400;\">: <\/span><span style=\"font-weight: 400;\">&#8220;Hello, how are you?&#8221;<\/span><span style=\"font-weight: 400;\">},<\/span><\/p>\n<p><span style=\"font-weight: 400;\">])<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">message = response.choices[0][<\/span><span style=\"font-weight: 400;\">&#8216;message&#8217;<\/span><span style=\"font-weight: 400;\">]<\/span><\/p>\n<p><span style=\"font-weight: 400;\">print<\/span><span style=\"font-weight: 400;\">(<\/span><span style=\"font-weight: 400;\">&#8220;{}: {}&#8221;<\/span><span style=\"font-weight: 400;\">.<\/span><span style=\"font-weight: 400;\">format<\/span><span style=\"font-weight: 400;\">(message[<\/span><span style=\"font-weight: 400;\">&#8216;role&#8217;<\/span><span style=\"font-weight: 400;\">], message[<\/span><span style=\"font-weight: 400;\">&#8216;content&#8217;<\/span><span style=\"font-weight: 400;\">]))<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The generated text is returned in the choices field of the response, which is a list of objects that contain the &#8220;role&#8221; (assistant or user) and &#8220;content&#8221; (the generated text). In this example, we only requested one response so we just got the first item in the choices list and printed the role, and generated text.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Output\"><\/span>Output<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">assistant: Hello! I am just a computer programmer, but I am functioning properly and ready to help. How can I assist you today?<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It\u2019s important to note that although ChatGPT is magical, it does not have human-level intelligence. Responses shown to your users should always be properly vetted and tested before being used in a production context. Don\u2019t expect ChatGPT to understand the physical world, use logic, be good at math, or check facts.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Handling_errors_from_the_OpenAI_GPT-35_API\"><\/span>Handling errors from the OpenAI GPT-3.5 API<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">It&#8217;s a best practice to monitor exceptions that occur when interacting with any external API. For example, the API might be temporarily unavailable, or the expected parameters or response format may have changed and you might need to update your code, and your code should be the thing to tell you about this. Here&#8217;s how to do it with Rollbar:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">import<\/span><span style=\"font-weight: 400;\"> rollbar<\/span><\/p>\n<p><span style=\"font-weight: 400;\">rollbar.init(<\/span><span style=\"font-weight: 400;\">&#8216;your_rollbar_access_token&#8217;<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">&#8216;testenv&#8217;<\/span><span style=\"font-weight: 400;\">)<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">def<\/span> <span style=\"font-weight: 400;\">ask_chatgpt<\/span><span style=\"font-weight: 400;\">(question):<\/span><\/p>\n<p><span style=\"font-weight: 400;\">response = openai.ChatCompletion.create(<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0<\/span> <span style=\"font-weight: 400;\">model=<\/span><span style=\"font-weight: 400;\">&#8216;gpt-3.5-turbo&#8217;<\/span><span style=\"font-weight: 400;\">,<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0<\/span> <span style=\"font-weight: 400;\">n=1,<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0<\/span> <span style=\"font-weight: 400;\">messages=[<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span> <span style=\"font-weight: 400;\">{<\/span><span style=\"font-weight: 400;\">&#8220;role&#8221;<\/span><span style=\"font-weight: 400;\">: <\/span><span style=\"font-weight: 400;\">&#8220;system&#8221;<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">&#8220;content&#8221;<\/span><span style=\"font-weight: 400;\">: <\/span><span style=\"font-weight: 400;\">&#8220;You are a helpful assistant with exciting, interesting things to say.&#8221;<\/span><span style=\"font-weight: 400;\">},<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span> <span style=\"font-weight: 400;\">{<\/span><span style=\"font-weight: 400;\">&#8220;role&#8221;<\/span><span style=\"font-weight: 400;\">: <\/span><span style=\"font-weight: 400;\">&#8220;user&#8221;<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">&#8220;content&#8221;<\/span><span style=\"font-weight: 400;\">: question},<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0\u00a0\u00a0\u00a0<\/span> <span style=\"font-weight: 400;\">])<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">message = response.choices[0][<\/span><span style=\"font-weight: 400;\">&#8216;message&#8217;<\/span><span style=\"font-weight: 400;\">]<\/span><\/p>\n<p><span style=\"font-weight: 400;\">return<\/span><span style=\"font-weight: 400;\"> message[<\/span><span style=\"font-weight: 400;\">&#8216;content&#8217;<\/span><span style=\"font-weight: 400;\">]<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">try<\/span><span style=\"font-weight: 400;\">:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">print<\/span><span style=\"font-weight: 400;\">(ask_chatgpt(<\/span><span style=\"font-weight: 400;\">&#8220;Hello, how are you?&#8221;<\/span><span style=\"font-weight: 400;\">))<\/span><\/p>\n<p><span style=\"font-weight: 400;\">except<\/span><span style=\"font-weight: 400;\"> Exception <\/span><span style=\"font-weight: 400;\">as<\/span><span style=\"font-weight: 400;\"> e:<\/span><\/p>\n<p><span style=\"font-weight: 400;\"># monitor exception using Rollbar<\/span><\/p>\n<p><span style=\"font-weight: 400;\">rollbar.report_exc_info()<\/span><\/p>\n<p><span style=\"font-weight: 400;\">print<\/span><span style=\"font-weight: 400;\">(<\/span><span style=\"font-weight: 400;\">&#8220;Error asking ChatGPT&#8221;<\/span><span style=\"font-weight: 400;\">, e)<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To get your Rollbar access token, <\/span><a href=\"https:\/\/rollbar.com\/signup?ref=blog\"><span style=\"font-weight: 400;\">sign up for free<\/span><\/a><span style=\"font-weight: 400;\"> and follow the instructions for Python.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span>Conclusion<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Here we have discussed and shown the step-by-step process of building a web Assistant by using OpenAI GPT and Django. Building a chatbot is a quite fun and rewarding project for the business. It not only eases your tasks but helps you in maintaining and strengthening customer relationships at the helm.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">We started with installing the OpenAI Python package, followed by setting up a Django project and application for building a seamless user interface by leveraging Django\u2019s template system. Under expert guidance, we have covered ways to test the web assistant and troubleshoot any issue for error-free deployment.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Now that you have built a web assistant, you can test and try different features and settings for improving the performance at the helm.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">And, if you are looking for an industry-specific expert for building a web assistant or chatbot for your website, you can call us now!<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/www.techcronus.com\/\"><strong>Techcronus<\/strong><\/a> is an experienced and People\u2019s Trusted <\/span><a href=\"https:\/\/www.techcronus.com\/openai-chatgpt-chatbot-development\"><b>Chatbot App Development Company<\/b><\/a><\/p>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/www.techcronus.com\/contact-us\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1714 size-full\" src=\"https:\/\/www.techcronus.com\/blog\/wp-content\/uploads\/2023\/03\/Frame-2249-1-1536x274-1.png\" alt=\"build custom-informed GPT-3-based chatbots\" width=\"1536\" height=\"274\" srcset=\"https:\/\/www.techcronus.com\/blog\/wp-content\/uploads\/2023\/03\/Frame-2249-1-1536x274-1.png 1536w, https:\/\/www.techcronus.com\/blog\/wp-content\/uploads\/2023\/03\/Frame-2249-1-1536x274-1-300x54.png 300w, https:\/\/www.techcronus.com\/blog\/wp-content\/uploads\/2023\/03\/Frame-2249-1-1536x274-1-1024x183.png 1024w, https:\/\/www.techcronus.com\/blog\/wp-content\/uploads\/2023\/03\/Frame-2249-1-1536x274-1-768x137.png 768w\" sizes=\"auto, (max-width: 1536px) 100vw, 1536px\" \/><\/a>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Want to build a web assistant Using Django and OpenAI GPT-3.5 API in Python?&nbsp; Want to add AI magic to your coding?&nbsp; Yes, we are talking about integrating OpenAI GPT-3.5 API &ndash; the powerhouse of large language models into Python scripts. Start leveraging ChatGPT development services and build a powerful web assistant now!&nbsp; Artificial Intelligence&hellip; <a class=\"more-link\" href=\"https:\/\/www.techcronus.com\/blog\/web-assistant-django-with-gpt3-api-python\/\">Continue reading <span class=\"screen-reader-text\">How to Build a Web Assistant Using Django and OpenAI GPT-3.5 API in Python<\/span><\/a><\/p>\n","protected":false},"author":8,"featured_media":1713,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[243,182],"class_list":["post-1711","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-chatbot-development","category-python","entry"],"acf":[],"aioseo_notices":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to Build a Web Assistant Using Django and OpenAI GPT-3.5 API in 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