Start now for free with Python AI programming: Create an AI chatbot

Start now for free with Python AI programming: Create an AI chatbot with just copy and paste using Google Colab and OpenAI API

For those who want to try AI programming using Python but don't know where to start, or for those who want to easily create an AI chatbot, this article provides a detailed explanation of how to create an AI chatbot using Google Colab and the OpenAI API. Most of the code can be run by copying and pasting, so it's easy to get started, so please give it a try.

1. Necessary Preparations

1.1 What is Google Colab?

Google Colab (Colaboratory) is a cloud-based Jupyter notebook environment provided by Google that allows you to easily run Python code in your browser. Colab is free to use, so you can run Python programs without any special settings or software installation.

1.2 What is OpenAI API?

OpenAI API is a powerful API that makes it easy to perform natural language processing (NLP) tasks. It can generate and understand text and simulate dialogue through models such as GPT-3 and GPT-4. Once you get an OpenAI API key, you can easily implement AI chatbot functions.

2. Setting up Google Colab

2.1 Access Google Colab

1. Log in with your Google account and access Google Colab.
2. Select "New Notebook" to create a new Python notebook.

2.2 Installing Python Libraries

Enter the below code in the first cell of Google Colab to install the required libraries.

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!pip install openai

This will install the libraries needed to use the OpenAI API.

3. Setting up the OpenAI API

3.1 Obtaining an OpenAI API key

1. Visit the OpenAI official website and create an account.
2. To get your API key, log in to your dashboard and go to the "API Keys" section.
3. Generate a new API key and copy it.

3.2 Set API key to Colab

In your Google Colab notebook, create a new cell and enter the following code:

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import openai # OpenAI API key definition openai.api_key = 'YOUR_API_KEY'

YOUR_API_KEYPaste the API key you obtained in this section.

4. Implementing AI Chatbots

4.1 Basic Chatbot Code

Copy the code below into a new cell in Colab and run it. This will create a basic AI chatbot.

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import openai def generate_response ( prompt ): response = openai.Completion.create( engine= "text-davinci-003" , # または "gpt-3.5-turbo" などの最新モデル prompt=prompt, max_tokens= 150 , temperature= 0.7 ) return response.choices[ 0 ].text.strip() def chat_with_bot ( user_input ): prompt = f"ユーザー: {user_input} \nAI:" response = generate_response(prompt) return response # テスト user_input = "こんにちは、調子はどうですか？" print (chat_with_bot(user_input))

This code uses the OpenAI API to generate a response to user input. generate_responseThe function calls the API to get the AI's response.

4.2 Creating an interactive chat interface

Next, we will present some code to create an interactive chatbot interface in Google Colab.

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from IPython.display import display import ipywidgets as widgets def on_submit ( change ): user_input = text_box.value response = chat_with_bot(user_input) chat_output.value += f"ユーザー: {user_input} \nAI: {response} \n" text_box. value = "" # インターフェースの作成 text_box = widgets.Text(placeholder= 'ここに入力...' , description= '入力:' ) submit_button = widgets.Button(description= '送信' ) chat_output = widgets.T extarea( value= '' , placeholder= 'チャットの履歴' , layout=widgets.Layout(width= '100%' , height= '300px' )) submit_button.on_click(on_submit) display(chat_output, text_box, submit_button)

This code creates an area that displays a text input box, a send button, and displays the chat history. Once the user enters some text and hits the "Send" button, the AI ​​​​response will be displayed.

5. Summary

In this article, we introduced how to easily create an AI chatbot using Google Colab and the OpenAI API. The Python code can be copied and pasted to run, and the setup is easy. Use this as a starting point for your own projects and ideas.The introduction of AI technology is extremely useful in learning programming and in business situations. Please use this article as a reference and experience the fun and possibilities of AI programming.