【超簡単】PythonでChatGPTを使ってAIチャットボットを作ろう！ChatGPTとPythonの最強コンビ！～プログラム公開中～

Summary

This video script outlines a tutorial on integrating ChatGPT with Python via API for efficient business use. It discusses the importance of API usage for privacy, as free ChatGPT use may lead to data collection by OpenAI. The script provides a step-by-step guide on setting up an API key, calculating token usage, and creating a Python program to interact with ChatGPT. It also demonstrates building a simple ChatGPT application using tkinter, allowing users to ask questions and receive responses within a GUI. The tutorial is practical, showing how to maintain context across multiple interactions and track token consumption, encouraging viewers to try it for potential applications.

Takeaways

• 😀 The video introduces using ChatGPT through a Python program with an API connection.
• 🏢 There's an increasing trend of businesses, governments, and municipalities considering using ChatGPT for operational efficiency.
• 🔒 Concerns are raised about privacy as free use of ChatGPT may lead to information being used for AI training by OpenAI.
• 📄 For sensitive information, using ChatGPT via API is recommended as OpenAI states they won't use the data for learning.
• 🤖 The video demonstrates how to integrate ChatGPT into various tasks for business automation using Python and API.
• 💰 The cost of using ChatGPT's GPT3.5 API as of April 2023 is $0.002 per 1000 tokens, which is approximately 0.2 to 0.3 Japanese Yen.
• 🔡 Tokens are calculated with English words as 1 token and Japanese characters as 1 token, with some characters consuming 2 tokens.
• ⏱ The API's token consumption includes both the questions asked and the responses given by ChatGPT.
• 🆓 Personal use of ChatGPT API comes with a free tier for the first three months, which amounts to $18 worth of usage.
• 🔑 The process of obtaining an API key from OpenAI involves creating an account, setting up payment information, and generating a key through the developer portal.
• 🛠️ The video provides a step-by-step guide on setting up a Python program to use the ChatGPT API, including installing necessary libraries and setting API keys.
• 📊 The script includes a practical example of creating a simple ChatGPT application using Python's tkinter for GUI, demonstrating a question-and-answer interface with token count.

Q & A

Why would someone use ChatGPT via a Python program with API connection instead of using it for free?

Using ChatGPT via a Python program with API connection is beneficial for organizations like businesses and government offices aiming to improve operational efficiency. It also ensures that the information used does not contribute to OpenAI's learning data, which can be a concern with free usage due to potential privacy issues with sensitive information.

What is a potential risk of using the free version of ChatGPT?

The free version of ChatGPT may collect user data, which could potentially be used for AI learning purposes. This could be problematic if sensitive or confidential information is processed through the service.

How does the API connection with ChatGPT help with privacy concerns?

When using ChatGPT via API connection, OpenAI states that the information utilized will not be used for learning purposes, thus addressing privacy concerns and making it a preferred method for enterprises and government entities.

What are the potential benefits of integrating ChatGPT into various business tasks through a Python program?

Integrating ChatGPT via a Python program allows for the automation of various tasks and the potential for more efficient business operations by leveraging the AI's capabilities within specific workflows.

What was the cost of using the GPT3.5 API as of April 2023?

As of April 2023, the cost for using the GPT3.5 API was $0.002 per 1000 tokens, which roughly translates to 0.2 to 0.3 Japanese Yen.

How are tokens calculated in the context of ChatGPT's API?

Tokens are calculated with English words being one token each, while in Japanese, one character equals one token, and certain characters like Kanji may consume two tokens. This means that 500 to 1000 characters would equate to 1000 tokens.

Why might the consumption of tokens be higher than expected when using ChatGPT's API?

Token consumption is not only counted for the questions asked but also includes the responses from ChatGPT. Therefore, longer answers can lead to a higher consumption of tokens per interaction.

What is the significance of the 'max_tokens' parameter in the ChatGPT API?

The 'max_tokens' parameter in the ChatGPT API allows users to limit the response length to a specified number of tokens, ensuring that the answer does not exceed the desired length.

What is the purpose of the 'temperature' parameter in the ChatGPT API?

The 'temperature' parameter, which can be set between 0 and 2, influences the diversity of the responses. A higher value yields more varied answers, while a lower value results in more consistent responses.

How does the script describe the process of obtaining an API key from OpenAI?

The script outlines the process of obtaining an API key by navigating to the 'API Keys' section in the OpenAI dashboard, clicking 'CreateNewSecretKey', naming the key, and then copying and saving the generated key.

What is the script's approach to creating a user interface for interacting with ChatGPT?

The script suggests creating a simple user interface using tkinter in Python, with input fields for questions, a text area for displaying answers, and a button to submit questions to ChatGPT.

How does the script handle the continuation of a conversation with ChatGPT in the Python program?

The script demonstrates how to append each new question and the corresponding ChatGPT response to a 'messages' list, ensuring that the context of the conversation is maintained across multiple interactions.

What is the script's final application design for interacting with ChatGPT?

The final application design includes a user interface where users can input questions at the top and receive answers in a text box below, with the ability to continue the conversation and view a running count of token usage.