how-to-create-ai-app

How to create AI APP

How to Create an AI App Using OpenAI’s API in 5 Steps

Step 1: Research Your Idea for Developing an App Using OpenAI

When you think of how to create an app, you must do market research to identify trends, and customer problems, and understand the OpenAI pricing and revenue models in the AI app market. Brainstorm your idea and make a complete list of it.

Step 2: Perform Competitive Analysis for AI App Development With OpenAI

Understand the strengths and weaknesses of your competitors and find a gap where your competitors are lacking. List it and include it in your features. Listing the gaps will help you to recognize how you can enhance your app

Step 3: Look for the Features to Include in Your Custom OpenAI App

Once you complete the competitive analysis, you must evaluate the basic and advanced features you want to integrate into your AI app solution. Before deciding on the features, remember that customers always want the information right away and AI solutions deliver that with speed.

We have mentioned some of the features for you to include in your app. Refer to the below table and take references to customize your app accordingly.

Depending on the specific capabilities of the model, you can select features as per your requirements. We have listed some of the features that you can include in your app solution.

 

Apart from these advanced features, you can also use other functionalities that will make your app unique and stand out from others.

Step 4: Select Models From OpenAI’s API and Integrate Into Your App

To select the models and integrate them

• Choose an OpenAI model: As there are many different models like Codex, DALL.E, and GPT, app developers decide which is to be used in your app.
• Gets an API key: To work on the OpenAI model, the developer will get an API key after signing up on the OpenAI website.
• Integrates model into your app: Once you gets an API key, programming is initiated depending on language and technology as per the specific needs.

Step 5: Test, Debug and Deploy Your App Developed With OpenAI’s API

Once it is developed, test it, with various test cases, does performance testing, and ensures that your AI app solution is bug-free and runs across various platforms.

Creating a simple AI APP with Python

This is a simple AI app that uses natural language to analyze the sentiment of a text input.

Prerequisites:

Python is installed.

you can begin doing with following:

• Create a folder in you PC e.g. myfirstapp
• cd to this folder and create a new folder call it template
• Create a Python file and call it simple_ai_app.py
• Copy the following code and paste to this file:

  # Import the libraries
  from flask import Flask, render_template, request
  from textblob import TextBlob
  
  # Create the Flask app
  app = Flask(__name__, template_folder='templates')
  
  # Define the home route
  @app.route("/")
  def home():
      # Render the home page template
      return render_template("home.html")
  
  # Define the analyze route
  @app.route("/analyze", methods=["POST"])
  def analyze():
      # Get the text input from the user
      text = request.form["text"]
      # Create a TextBlob object from the text input
      blob = TextBlob(text)
      # Get the sentiment polarity of the text input
      polarity = blob.sentiment.polarity
      # Convert the polarity to a percentage
      percentage = round(polarity * 100, 2)
      # Render the analyze page template with the text and the percentage
      return render_template("analyze.html", text=text, percentage=percentage)
  
  # Run the app
  if __name__ == "__main__":
      app.run(debug=True)

Code description:

This is a simple web application built using Flask, a Python web framework, to perform sentiment analysis on text input provided by a user. Here's a breakdown of the code:

Imports:

Flask: The Flask framework for creating the web application.
render_template and request from Flask: To render HTML templates and handle HTTP requests.
TextBlob: A library used for processing textual data and performing natural language processing tasks, such as sentiment analysis.
Creating the Flask App:

app = Flask(__name__, template_folder='templates'): Initializes the Flask app. The template_folder parameter specifies the folder where HTML templates are located.
Routes:

@app.route("/"): Defines the home route ("/") that renders the home page template (home.html) when the root URL is accessed.
@app.route("/analyze", methods=["POST"]): Defines the analyze route ("/analyze") that accepts POST requests and triggers sentiment analysis on the provided text.
Home Route:

def home():: Defines the function for the home route.
render_template("home.html"): Renders the "home.html" template.
Analyze Route:

def analyze():: Defines the function for the analyze route.
text = request.form["text"]: Retrieves the text input from the user via a form submitted to the "/analyze" route.
blob = TextBlob(text): Creates a TextBlob object from the text input.
polarity = blob.sentiment.polarity: Calculates the sentiment polarity of the text input using TextBlob.
percentage = round(polarity * 100, 2): Converts the polarity score to a percentage.
render_template("analyze.html", text=text, percentage=percentage): Renders the "analyze.html" template and passes the text and the calculated percentage to display the sentiment analysis results.
Running the App:

app.run(debug=True): Starts the Flask application in debug mode, allowing you to see debugging information in case of errors.

• cd to the templates folder
• Create a file and call it home.html
• Copy and paste the following code to this file:
• Create another file and call it analyze.html
• Copy and paste the following code to this file:

  <!DOCTYPE html>
  <html>
  <head>
      <title>Simple AI App</title>
  </head>
  <body>
      <h1>Simple AI App</h1>
      <p>This is a simple AI app that uses natural language processing to analyze the sentiment of a text input.</p>
      <form action="/analyze" method="POST">
          <label for="text">Enter some text:</label>
          <input type="text" id="text" name="text" required>
          <button type="submit">Analyze</button>
      </form>
  </body>
  </html>

• Copy and paste the following code to  this file:

  <!DOCTYPE html>
  <html>
  <head>
      <title>Simple AI App</title>
  </head>
  <body>
      <h1>Simple AI App</h1>
      <p>The text you entered was:</p>
      <p><strong>{{ text }}</strong></p>
      <p>The sentiment score of the text is:</p>
      <p><strong>{{ percentage }}%</strong></p>
      <p>A positive score means the text has a positive sentiment, a negative score means the text has a negative sentiment, and a zero score means the text has a neutral sentiment.</p>
      <a href="/">Go back</a>
  </body>
  </html>

Run the app

1. Start Command Prompt  and cd to the the Folder you have created with name myfirstapp:
2. Install textblob by the following command:

   >pip install textblob
   

3. Run the app by the following command:

   >python simple_ai_app.py

4. Displays the following:
5. Start webbrowser with url: http://127.0.0.1:5000
6. show you following:

7. Enter a text in  field: Enter  Som text: e.g.  “I am very happy” and press to Analyze button then you see the following result:

8. As you see the Analyze give you:

The sentiment score of the text is:

100.0%

9. press to the Go back button and give text: “It is very cold today” and press to the Analyze button then the analyze give you:

The sentiment score of the text is:

-78.0%

The source code is in myGithub

Conclusion

In this post we have discussed creating an AI App Using OpenAI’s API in 5 Steps. Then we have created  a simple AI app with Python language, that uses natural language to analyze the sentiment of a text input, and tested it.

My next post is : AI App Speech to  Text

This post is part of  AI (Artificial Intelligence) step by step

Back to home page