Create Artificial intelligence website in python3 , which can generate full story if you enter some text
First, make sure you have Python 3 installed on your computer. You can check if you have it installed by running the following command in your terminal:
python3 –version
If you don't have Python 3 installed, you can download and install it from the official Python website: https://www.python.org/
Next, you will need to train a language model that can generate text. You can do this using a library such as GPT-3 or OpenAI's GPT-2. GPT-3 and GPT-2 are large language models that have been trained on a massive amount of text data and can generate text in a variety of styles and formats.
Once you have trained a language model, you can use it to generate text in response to some input. For example, if you want to generate a full story based on a short prompt, you can use the language model to generate text that continues the story from the prompt.
To create a website using Python 3, you can use a web framework such as Flask. Flask is a lightweight web framework that makes it easy to create web applications in Python.
To use Flask, you will need to import the Flask module in your Python file and create a new Flask app. You can then define routes for each page on your website. A route is a URL pattern that Flask matches against incoming requests and defines what should happen when a request matches the pattern.
For example, if you want to create a website that has a form for the user to enter a prompt, you can define a route for the form page like this:from flask import Flask, render_template
app = Flask(name)
@app.route(‘/’)
def form():
return render_template(‘form.html’)
The render_template() method is used to render an HTML template file, which can contain the form for the user to enter a prompt. You can create the form.html template file in the templates directory of your Flask app.
Once the user submits the form, you can define another route to handle the submission and generate the story using the trained language model. For example, you can define a route like this:@app.route(‘/story’)
def story():
# get the user’s prompt from the request
prompt = request.args.get(‘prompt’)
The generate_story() function would use the trained language model to generate the story based on the prompt. You can then display the generated story on an HTML template file called story.html, which can be rendered using the render_template() method.