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import openai | |
import tiktoken | |
class ChatGPTAPI: | |
def __init__(self, api_key: str = '', max_input_length: int = 1024): | |
if not api_key: | |
try: | |
api_key = open('data/api_key.txt', 'r').read() | |
except Exception as e: | |
raise Exception(f'ChatGPT Error: No API key provided {e}') | |
openai.api_key = api_key | |
self.max_input_length = max_input_length | |
self.encoding = tiktoken.encoding_for_model("gpt-3.5-turbo") | |
def truncate_string(self, s): | |
e = self.encoding.encode(s)[:self.max_input_length] | |
s = self.encoding.decode(e) | |
return s | |
def __call__(self, content: str): | |
assert isinstance(content, str), 'ChatGPT Error: content must be a string' | |
content = content.strip() | |
content = self.truncate_string(content) | |
messages = [{'role': 'user', 'content': content}] | |
try: | |
resp = openai.ChatCompletion.create( | |
model="gpt-3.5-turbo", | |
messages=messages | |
) | |
output: str = resp['choices'][0]['message']['content'] | |
output = output.strip() | |
except Exception as e: | |
raise Exception(f'ChatGPT Error: {e}') | |
return output | |
if __name__ == '__main__': | |
chatgpt = ChatGPTAPI() | |
r = chatgpt.truncate_string('how are you ' * 10000) | |
r_list = r.split(' ') | |
# response = chatgpt('Hello, how are you?') | |
# print(response) | |