{"id":4188,"date":"2023-11-04T23:14:07","date_gmt":"2023-11-04T23:14:07","guid":{"rendered":"http:\/\/localhost:10003\/how-to-build-a-text-generator-with-openai-gpt-3-and-flask\/"},"modified":"2023-11-05T05:47:57","modified_gmt":"2023-11-05T05:47:57","slug":"how-to-build-a-text-generator-with-openai-gpt-3-and-flask","status":"publish","type":"post","link":"http:\/\/localhost:10003\/how-to-build-a-text-generator-with-openai-gpt-3-and-flask\/","title":{"rendered":"How to Build a Text Generator with OpenAI GPT-3 and Flask"},"content":{"rendered":"
In this tutorial, we will learn how to build a text generator using OpenAI’s GPT-3 language model and Flask web framework. OpenAI’s GPT-3 is a state-of-the-art language model that can generate human-like text based on the given input. Flask is a lightweight web framework that allows us to create web applications easily. By combining these two technologies, we can create an interactive web application where users can generate text using GPT-3.<\/p>\n
Before we begin, make sure you have the following prerequisites:<\/p>\n
openai<\/code>)<\/li>\n<\/ul>\nTo install the OpenAI library, use the following command:<\/p>\n
pip install openai\n<\/code><\/pre>\nSetting up OpenAI API<\/h2>\n
To use OpenAI GPT-3, you need to have an API key. If you don’t have one, you can sign up on OpenAI’s website to get access to the API. Once you have the API key, set it up as an environment variable on your machine. For example, on Linux, you can add the following line to your ~\/.bashrc<\/code> or ~\/.bash_profile<\/code> file:<\/p>\nexport OPENAI_API_KEY='YOUR_API_KEY'\n<\/code><\/pre>\nReplace 'YOUR_API_KEY'<\/code> with your actual API key.<\/p>\nNow, let’s start building our text generator!<\/p>\n
Creating a Flask Application<\/h2>\n
To begin, create a new folder for our project and navigate to the project folder using the terminal. Then, create a new Python virtual environment and activate it with the following commands:<\/p>\n
mkdir text-generator\ncd text-generator\npython3 -m venv venv\nsource venv\/bin\/activate\n<\/code><\/pre>\nNow that we have our virtual environment activated, let’s install Flask:<\/p>\n
pip install flask\n<\/code><\/pre>\nNext, create a new file called app.py<\/code> in the project folder and open it in a text editor.<\/p>\ntouch app.py\n<\/code><\/pre>\nInitializing Flask Application<\/h2>\n
In app.py<\/code>, let’s start by importing the necessary modules and initializing the Flask application:<\/p>\nfrom flask import Flask, render_template, request\nimport openai\n\napp = Flask(__name__)\n<\/code><\/pre>\nNext, we need to configure the OpenAI API client by setting the API key:<\/p>\n
openai.api_key = 'YOUR_API_KEY'\n<\/code><\/pre>\nReplace 'YOUR_API_KEY'<\/code> with your actual API key.<\/p>\nCreating the Home Page<\/h2>\n
Let’s create a simple home page where users can enter the text prompt. Add the following route decorator to define the route for the home page:<\/p>\n
@app.route('\/', methods=['GET'])\ndef home():\n return render_template('index.html')\n<\/code><\/pre>\nThis route renders an HTML template called index.html<\/code> which we will create shortly. In the template, users will be able to enter the text prompt.<\/p>\nBefore we create the index.html<\/code> template, let’s create a new folder called templates<\/code> in the project folder to store all our HTML templates:<\/p>\nmkdir templates\n<\/code><\/pre>\nCreate a new file called index.html<\/code> in the templates<\/code> folder and open it in a text editor:<\/p>\ntouch templates\/index.html\n<\/code><\/pre>\nIn index.html<\/code>, add the following content:<\/p>\n<!DOCTYPE html>\n<html>\n<head>\n <title>Text Generator<\/title>\n<\/head>\n<body>\n <h1>Text Generator with GPT-3<\/h1>\n <form method=\"POST\" action=\"\/generate\">\n <textarea name=\"prompt\" rows=\"10\" cols=\"50\"><\/textarea><br>\n <input type=\"submit\" value=\"Generate\">\n <\/form>\n<\/body>\n<\/html>\n<\/code><\/pre>\nSave the file. Now, when users visit the home page, they will see a simple form with a text area where they can enter the text prompt and a submit button to generate the text.<\/p>\n
Generating Text with GPT-3<\/h2>\n
Let’s create a new route to handle the text generation logic. Add the following route decorator below the home<\/code> route decorator:<\/p>\n@app.route('\/generate', methods=['POST'])\ndef generate():\n prompt = request.form['prompt']\n response = openai.Completion.create(\n engine='text-davinci-003',\n prompt=prompt,\n max_tokens=100,\n n=1,\n stop=None,\n temperature=0.7\n )\n completion = response.choices[0].text.strip()\n return render_template('result.html', prompt=prompt, completion=completion)\n<\/code><\/pre>\nHere, we retrieve the text prompt from the form data, generate the completion using the OpenAI API, and render the result.html<\/code> template with the prompt and completion values.<\/p>\nBefore we create the result.html<\/code> template, let’s create a new folder called static<\/code> in the project folder to store all our static files:<\/p>\nmkdir static\n<\/code><\/pre>\nCreate a new file called result.html<\/code> in the templates<\/code> folder and open it in a text editor:<\/p>\ntouch templates\/result.html\n<\/code><\/pre>\nIn result.html<\/code>, add the following content:<\/p>\n<!DOCTYPE html>\n<html>\n<head>\n <title>Text Generator - Result<\/title>\n<\/head>\n<body>\n <h1>Generated Text<\/h1>\n <p><strong>Prompt:<\/strong> {{ prompt }}<\/p>\n <p><strong>Completion:<\/strong> {{ completion }}<\/p>\n <a href=\"\/\">Back to home<\/a>\n<\/body>\n<\/html>\n<\/code><\/pre>\nSave the file. Now, when users submit the form to generate the text, they will be redirected to a new page that displays the prompt and the generated completion.<\/p>\n
Running the Application<\/h2>\n
To run the Flask application, go back to the terminal and execute the following command:<\/p>\n
flask run\n<\/code><\/pre>\nBy default, the application should start running on `http:\/\/127.0.0.1:5000`. Open your web browser and visit this URL to see the text generator in action.<\/p>\n
Enter a text prompt in the form and click the “Generate” button. You should be redirected to a new page that displays the generated completion along with the entered prompt.<\/p>\n
Conclusion<\/h2>\n
In this tutorial, we learned how to build a text generator using OpenAI’s GPT-3 language model and Flask web framework. We created a simple web application that allows users to enter a text prompt and generates human-like text based on the prompt using the GPT-3 model. Flask made it easy to create the routes and templates required for our application. By combining the power of GPT-3 with Flask, we can build a wide variety of text generation applications. Happy coding!<\/p>\n","protected":false},"excerpt":{"rendered":"
In this tutorial, we will learn how to build a text generator using OpenAI’s GPT-3 language model and Flask web framework. OpenAI’s GPT-3 is a state-of-the-art language model that can generate human-like text based on the given input. Flask is a lightweight web framework that allows us to create web Continue Reading<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[35,391,574,116,36,1616],"yoast_head":"\nHow to Build a Text Generator with OpenAI GPT-3 and Flask - Pantherax Blogs<\/title>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\t\n\t\n\t\n