To send longer text inputs to the ChatGPT API, you can split your text into smaller chunks and send them as multiple requests. The API has a maximum token limit, which determines the length of text it can process in a single call. Here's a step-by-step guide on how to accomplish this:
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Determine the maximum token limit: The API response includes a usage field that provides information about the total tokens used and the maximum tokens allowed for your plan. Take note of the maximum tokens allowed value.
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Split your text: Break your longer text input into smaller chunks, ensuring that each chunk is within the maximum token limit. You can use the OpenAI Cookbook's tiktoken Python library (https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb) to count the number of tokens in your text and split it accordingly.
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Send requests for each chunk: Make individual API calls for each chunk of text. Start with the first chunk and continue until you have processed all the chunks.
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Preserve context between requests: To maintain a coherent conversation, you should include the context from previous requests in subsequent requests. The API response includes a context field, which you can update by appending the message from the previous request.
Here's an example using Python code to illustrate the process:
import openai
# Set up your OpenAI API credentials
openai.api_key = 'YOUR_API_KEY'
# Initialize the conversation with an empty string as context
context = ''
# Split your longer text into smaller chunks
text_chunks = ["This is the first chunk of text.", "This is the second chunk of text.", "And so on..."]
# Iterate through each chunk and send requests
for chunk in text_chunks:
# Append the current chunk to the existing context
input_text = context + chunk
# Send the API request
response = openai.Completion.create(
engine='text-davinci-003',
prompt=input_text,
max_tokens=500, # Adjust according to the maximum token limit for your plan
temperature=0.7,
n=1,
stop=None,
context=context
)
# Get the generated message from the response
message = response.choices[0].text.strip()
# Append the message to the context for the next iteration
context += message
# Process the generated message or store the results
# Rest of your code...
Remember to replace 'YOUR_API_KEY' with your actual API key and adjust the max_tokens parameter according to your plan's token limit.
By splitting your longer text into smaller chunks and maintaining the context, you can effectively send longer inputs to the ChatGPT API.
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