{"id":3886,"date":"2023-11-04T23:13:54","date_gmt":"2023-11-04T23:13:54","guid":{"rendered":"http:\/\/localhost:10003\/how-to-build-a-text-analyzer-with-openai-gpt-3-and-django\/"},"modified":"2023-11-05T05:48:29","modified_gmt":"2023-11-05T05:48:29","slug":"how-to-build-a-text-analyzer-with-openai-gpt-3-and-django","status":"publish","type":"post","link":"http:\/\/localhost:10003\/how-to-build-a-text-analyzer-with-openai-gpt-3-and-django\/","title":{"rendered":"How to Build a Text Analyzer with OpenAI GPT-3 and Django"},"content":{"rendered":"

In this tutorial, we will learn how to build a text analyzer using OpenAI GPT-3 and Django. The text analyzer will take an input text and analyze it to provide various insights, such as sentiment analysis, key phrase extraction, and entity recognition.<\/p>\n

OpenAI GPT-3 is a powerful language model that can generate human-like text. Django is a popular Python web framework that allows us to build web applications quickly and easily.<\/p>\n

To get started, make sure you have Python and Django installed on your machine. You will also need an OpenAI API key to access GPT-3. You can sign up for an API key on the OpenAI website.<\/p>\n

Setting up the Django project<\/h2>\n

First, let’s create a new Django project and set up the necessary dependencies.<\/p>\n

    \n
  1. Open a terminal and navigate to the directory where you want to create your project.<\/li>\n
  2. Run the following command to create a new Django project:<\/li>\n<\/ol>\n
    $ django-admin startproject text_analyzer\n<\/code><\/pre>\n
      \n
    1. Change into the project directory:<\/li>\n<\/ol>\n
      $ cd text_analyzer\n<\/code><\/pre>\n
        \n
      1. Create a virtual environment for your project:<\/li>\n<\/ol>\n
        $ python -m venv env\n<\/code><\/pre>\n
          \n
        1. Activate the virtual environment:<\/li>\n<\/ol>\n
          $ source env\/bin\/activate\n<\/code><\/pre>\n
            \n
          1. Install the required dependencies:<\/li>\n<\/ol>\n
            $ pip install django openai\n<\/code><\/pre>\n
              \n
            1. Create a new Django app within the project:<\/li>\n<\/ol>\n
              $ python manage.py startapp analyzer\n<\/code><\/pre>\n
              Creating the text analyzer views<\/h2>\n
              Next, let’s create the views that will handle the text analyzer functionality.<\/p>\n
                \n
              1. Open the analyzer\/views.py<\/code> file and replace the existing code with the following:<\/li>\n<\/ol>\n
                from django.shortcuts import render\nfrom openai import api_key, GPT\n\ngpt = GPT(api_key=api_key)\n\ndef home(request):\n    return render(request, 'analyzer\/home.html')\n\ndef analyze(request):\n    if request.method == 'POST':\n        text = request.POST.get('text', '')\n        response = gpt.send_text(text)\n        return render(request, 'analyzer\/analyze.html', {'response': response})\n<\/code><\/pre>\n
                  \n
                1. Create a new directory called templates<\/code> inside the analyzer<\/code> directory:<\/li>\n<\/ol>\n
                  $ mkdir analyzer\/templates\n<\/code><\/pre>\n
                    \n
                  1. Create the home.html<\/code> template file inside the templates\/analyzer<\/code> directory:<\/li>\n<\/ol>\n
                    <!-- analyzer\/templates\/analyzer\/home.html -->\n<!DOCTYPE html>\n<html>\n<head>\n    <title>Text Analyzer<\/title>\n<\/head>\n<body>\n    <h1>Text Analyzer<\/h1>\n    <form method=\"POST\" action=\"{% url 'analyze' %}\">\n        {% csrf_token %}\n        <textarea name=\"text\"><\/textarea>\n        <button type=\"submit\">Analyze<\/button>\n    <\/form>\n<\/body>\n<\/html>\n<\/code><\/pre>\n
                      \n
                    1. Create the analyze.html<\/code> template file inside the templates\/analyzer<\/code> directory:<\/li>\n<\/ol>\n
                      <!-- analyzer\/templates\/analyzer\/analyze.html -->\n<!DOCTYPE html>\n<html>\n<head>\n    <title>Text Analyzer - Analysis Results<\/title>\n<\/head>\n<body>\n    <h1>Analysis Results<\/h1>\n    <h2>Sentiment<\/h2>\n    <p>{{ response.sentiment }}<\/p>\n    <h2>Key Phrases<\/h2>\n    <ul>\n        {% for phrase in response.key_phrases %}\n            <li>{{ phrase }}<\/li>\n        {% empty %}\n            <li>No key phrases found<\/li>\n        {% endfor %}\n    <\/ul>\n    <h2>Entities<\/h2>\n    <ul>\n        {% for entity in response.entities %}\n            <li>{{ entity }}<\/li>\n        {% empty %}\n            <li>No entities found<\/li>\n        {% endfor %}\n    <\/ul>\n<\/body>\n<\/html>\n<\/code><\/pre>\n
                      Configuring the Django project<\/h2>\n
                      Before we can run the application, we need to configure the Django project.<\/p>\n
                        \n
                      1. Open the text_analyzer\/settings.py<\/code> file and add 'analyzer'<\/code> to the INSTALLED_APPS<\/code> list:<\/li>\n<\/ol>\n
                        INSTALLED_APPS = [\n    ...\n    'analyzer',\n]\n<\/code><\/pre>\n
                          \n
                        1. Add the analyzer URL patterns to the urls.py<\/code> file:<\/li>\n<\/ol>\n
                          from django.urls import path\nfrom analyzer import views\n\nurlpatterns = [\n    path('', views.home, name='home'),\n    path('analyze\/', views.analyze, name='analyze'),\n]\n<\/code><\/pre>\n
                          Running the text analyzer<\/h2>\n
                          Now we are ready to run the text analyzer.<\/p>\n
                            \n
                          1. Make sure you are in the text_analyzer<\/code> directory and activate the virtual environment:<\/li>\n<\/ol>\n
                            $ source env\/bin\/activate\n<\/code><\/pre>\n
                              \n
                            1. Apply the database migrations:<\/li>\n<\/ol>\n
                              $ python manage.py migrate\n<\/code><\/pre>\n
                                \n
                              1. Start the development server:<\/li>\n<\/ol>\n
                                $ python manage.py runserver\n<\/code><\/pre>\n
                                  \n
                                1. Open your web browser and navigate to `http:\/\/localhost:8000` to access the text analyzer.<\/li>\n<\/ol>\n
                                  You should see a form where you can enter the text to analyze. Once you submit the form, the analysis results will be displayed on a new page.<\/p>\n
                                  Enhancing the text analyzer<\/h2>\n
                                  We have built a basic text analyzer using OpenAI GPT-3 and Django, but there are many ways to enhance its capabilities.<\/p>\n