Files
encoach_backend/helper/openai_interface.py
2023-06-23 00:05:48 +01:00

65 lines
1.9 KiB
Python

import json
import openai
import os
import re
from dotenv import load_dotenv
load_dotenv()
openai.api_key = os.getenv("OPENAI_API_KEY")
MAX_TOKENS = 4097
TOP_P = 0.9
FREQUENCY_PENALTY = 0.5
TRY_LIMIT = 1
try_count = 0
def process_response(input_string):
if '{' in input_string:
try:
# Find the index of the first occurrence of '{'
index = input_string.index('{')
# Extract everything after the first '{' (inclusive)
result = input_string[index:]
parsed_string = result.replace("\"", "\\\"")
pattern = r"(?<!\w)'|'(?!\w)"
parsed_string = re.sub(pattern, '"', parsed_string)
parsed_string = parsed_string.replace("\\\"", "'")
parsed_string = parsed_string.replace("\n\n", " ")
json_obj = json.loads(parsed_string)
return json_obj
except json.JSONDecodeError:
print("Invalid JSON string!")
else:
return input_string
def check_fields(obj, fields):
return all(field in obj for field in fields)
def make_openai_call(messages, token_count, fields_to_check, temperature):
global try_count
result = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
max_tokens=int(MAX_TOKENS - token_count - 300),
temperature=float(temperature),
top_p=float(TOP_P),
frequency_penalty=float(FREQUENCY_PENALTY),
messages=messages
)
processed_response = process_response(result["choices"][0]["message"]["content"])
if check_fields(processed_response, fields_to_check) is False and try_count < TRY_LIMIT:
try_count = try_count + 1
return make_openai_call(messages, token_count, fields_to_check, temperature)
elif try_count >= TRY_LIMIT:
try_count = 0
return result["choices"][0]["message"]["content"]
else:
try_count = 0
return processed_response