ChatGPT Bot
How to Create a ChatGPT Bot in Python
In this tutorial, we'll show you how to create a chatbot using ChatGPT and Python. ChatGPT is a conversational AI model developed by OpenAI that can generate human-like responses to text prompts. By the end of this tutorial, you'll have a working chatbot that can carry on a conversation with users.
## Prerequisites
Before we get started, you'll need to have the following:
- Python 3 installed on your computer
- An OpenAI API key
You can obtain an API key by signing up for an account on the OpenAI website.
## Setting up the OpenAI API Client
First, we'll need to set up the OpenAI API client. This allows us to send prompts to ChatGPT and receive responses. To do this, we'll use the `openai` library for Python.
You can install the `openai` library using `pip`:
```
pip install openai
```
Once you have the `openai` library installed, you can set up the API client by importing the `openai` module and setting your API key:
```python
import openai
# Set up the OpenAI API client
openai.api_key = "YOUR_API_KEY"
```
Make sure to replace `"YOUR_API_KEY"` with your own OpenAI API key.
## Choosing a Model
Next, we'll need to choose a model to use with ChatGPT. OpenAI provides several models with different capabilities. For this tutorial, we'll use the `text-davinci-003` model.
You can specify the model by setting the `model_engine` variable:
```python
# Set up the model
model_engine = "text-davinci-003"
```
## Sending Prompts to ChatGPT
Now that we have the API client set up and have chosen a model, we can start sending prompts to ChatGPT. To do this, we'll define a function called `chat_query` that takes a prompt as input and returns ChatGPT's response.
Here's what the `chat_query` function looks like:
```python
# Define a function that sends a message to ChatGPT
def chat_query(prompt):
completions = openai.Completion.create(
engine=model_engine,
prompt=prompt,
max_tokens=2048,
n=1,
temperature=0.5,
)
message = completions.choices[0].text
return message
```
This function uses the `openai.Completion.create()` method to send a prompt to ChatGPT and receive a response. The `engine` parameter specifies which model to use, and the `prompt` parameter specifies the text prompt to send. The other parameters control various aspects of the response generation process.
## Handling the Conversation
Now that we can send prompts to ChatGPT and receive responses, we need a way to handle the conversation with the user. To do this, we'll define another function called `conversation_handler`.
Here's what the `conversation_handler` function looks like:
```python
# Define a function that handles the conversation
def conversation_handler(prompt):
# Send the prompt to ChatGPT
response = chat_query(prompt)
print(f"ChatGPT: {response}")
# End the conversation if ChatGPT says goodbye
if "goodbye" in response.lower():
return
# Otherwise, get user input and continue the conversation
prompt = input("You: ")
conversation_handler(prompt)
```
This function takes a prompt as input and sends it to ChatGPT using the `chat_query` function. It then prints ChatGPT's response and checks if it contains the word "goodbye". If it does, the conversation ends. Otherwise, it gets user input and continues the conversation by calling itself recursively.
## Starting the Conversation
Now that we have all of our functions defined, we can start the conversation with an initial prompt. Here's an example of how you might do this:
```python
# Main program starts here:
if __name__ == "__main__":
# Example of prompt to query
prompt = "Hello! How are you?"
# Start the conversation
conversation_handler(prompt)
```
This code defines an initial prompt and passes it to the `conversation_handler` function to start the conversation.
## Conclusion
In this tutorial, we showed you how to create a chatbot using ChatGPT and Python. We covered how to set up the OpenAI API client, choose a model, send prompts to ChatGPT, and handle