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import datetime | |
import json | |
import random | |
import streamlit as st | |
import openai | |
import logging | |
logger = logging.getLogger(__name__) | |
logger.setLevel(logging.INFO) | |
def get_prompt(): | |
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)) | |
) | |
prompt = f"""Ecco alcune informazioni su di me: '{context}' . | |
Rispondi alla domanda, rivolgendoti a me, usando la seconda persona singolare: | |
Io: """ | |
return prompt | |
def get_answer(input): | |
prompt = get_prompt() | |
openai.api_key = st.secrets["OPENAI_API_KEY"] | |
response = openai.Completion.create( | |
model="text-davinci-003", | |
prompt=prompt + input + "\nTu: ", | |
temperature=0, | |
max_tokens=520, | |
top_p=1.0, | |
frequency_penalty=0.2, | |
presence_penalty=0.0, | |
) | |
ans = response["choices"][0]["text"].replace("Tu: ", "").replace("?", " ").strip() | |
logger.info(f"Q: {input} - A: {ans}") | |
return ans | |