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import datetime | |
import json | |
import random | |
import streamlit as st | |
from openai import OpenAI | |
client = OpenAI(api_key=st.secrets["OPENAI_API_KEY"]) | |
import logging | |
logger = logging.getLogger(__name__) | |
logger.setLevel(logging.INFO) | |
def get_system(): | |
BIRTHYEAR = 1952 | |
BIRTHMONTH = 5 | |
OTHERBIRTHYEAR = 1984 | |
now = datetime.datetime.now() | |
with open("context.json") as f: | |
context = ( | |
json.load(f)["info"] | |
.replace("[YEAR]", str(now.year)) | |
.replace("[TODAY]", f"{now:%d-%m-%Y}") | |
.replace("[BIRTHYEAR]", str(BIRTHYEAR)) | |
.replace( | |
"[AGE]", | |
str((now - datetime.datetime(BIRTHYEAR, BIRTHMONTH, 1)).days // 365), | |
) | |
.replace("[OTHERAGE]", str(now.year - OTHERBIRTHYEAR)) | |
) | |
system = f"""Giuseppe è amnesico, ecco alcune informazioni su di lui: '{context}' . | |
Di seguito, Giuseppe farà domande di cui non sa o non ricorda la risposta. Cerca di aiutarlo con risposte concise, in un italiano perfetto. | |
""" | |
return system | |
def get_answer(input): | |
system_content = get_system() | |
response = client.chat.completions.create(model="gpt-3.5-turbo", | |
messages=[ | |
{"role": "system", "content": system_content}, | |
{"role": "user", "content": input}, | |
]) | |
ans = response.choices[0].message.content | |
logger.info(f"Q: {input} - A: {ans}") | |
return ans | |