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import json
import os
import random
import openai
from sentence_transformers import util
from transformers import pipeline
openai.api_key = os.getenv("OPENAI_API_KEY")
def hint(secret, n, model, last_pista, lang, Config):
pista = ""
# Pistas avanzadas
if n >= 3:
j = random.randint(0, 2)
while j == last_pista:
j = random.randint(0, 2)
if j == 0:
response = openai.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{
"role": "user",
"content": Config.hint_0_0 # type: ignore
+ secret
+ Config.hint_0_1 # type: ignore
+ secret
+ Config.hint_0_2, # type: ignore
}
],
temperature=1,
max_tokens=256,
top_p=1,
frequency_penalty=0.5,
presence_penalty=0,
)
output = str(response.choices[0].message.content)
output = output.replace('"', "").replace("'", "")
if lang == 0:
output = ireplace("la " + secret, "La palabra secreta", output)
output = ireplace("las " + secret, "La palabra secreta", output)
output = ireplace("el " + secret, "La palabra secreta", output)
output = ireplace("los " + secret, "La palabra secreta", output)
output = ireplace("un " + secret, "La palabra secreta", output)
output = ireplace("una " + secret, "La palabra secreta", output)
output = ireplace("unos " + secret, "La palabra secreta", output)
output = ireplace("unas " + secret, "La palabra secreta", output)
elif lang == 1:
output = ireplace("the " + secret, "The secret word", output)
output = ireplace("a " + secret, "The secret word", output)
pista += Config.hint_0_3 + output # type: ignore
last_pista = 0
elif j == 1:
response = openai.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{
"role": "user",
"content": Config.hint_1_0 + secret + Config.hint_1_1, # type: ignore
}
],
temperature=1,
max_tokens=256,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
)
output = str(response.choices[0].message.content)
pista += Config.hint_1_2 + output # type: ignore
last_pista = 1
elif j == 2:
response = openai.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{
"role": "user",
"content": Config.hint_2_0 + secret + Config.hint_2_1, # type: ignore
}
],
temperature=1,
max_tokens=256,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
)
output = str(response.choices[0].message.content)
pista += Config.hint_2_2 + output # type: ignore
last_pista = 2
# Pistas iniciales
else:
j = random.randint(3, 4)
while j == last_pista:
j = random.randint(3, 4)
if j == 3:
words = []
response = openai.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{
"role": "user",
"content": Config.hint_3_0, # type: ignore
}
],
temperature=1.25,
max_tokens=256,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
)
output = str(response.choices[0].message.content)
output = (output.replace(" ", "").replace(".", "")).lower()
words.extend(output.strip().split(","))
response = openai.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{
"role": "user",
"content": Config.hint_3_1 # type: ignore
+ secret
+ Config.hint_3_2, # type: ignore
}
],
temperature=1.1,
max_tokens=256,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
)
output = str(response.choices[0].message.content)
output = (output.replace(".", "")).lower()
words.append(output) # type: ignore
random.shuffle(words)
sentences1 = [secret, secret, secret, secret]
sentences2 = words
embeddings1 = model.encode(sentences1, convert_to_tensor=True)
embeddings2 = model.encode(sentences2, convert_to_tensor=True)
cosine_scores = util.cos_sim(embeddings1, embeddings2)
scores = cosine_scores[0].tolist()
sum_scores = sum(scores)
normalized_scores = [round(score * 100 / sum_scores, 1) for score in scores]
pista += Config.hint_3_3 # type: ignore
for i in range(len(words)):
pista += (
words[i]
+ (" ") * (15 - len(words[i]))
+ "|"
+ ("🟩") * round(normalized_scores[i] * 0.5)
+ " "
+ str(normalized_scores[i])
+ "%\n"
)
last_pista = 3
elif j == 4:
response = openai.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{
"role": "user",
"content": Config.hint_4_0 # type: ignore
+ secret
+ Config.hint_4_1, # type: ignore
}
],
temperature=1,
max_tokens=256,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
)
film_title = str(response.choices[0].message.content).replace('"', "")
response = openai.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{
"role": "user",
"content": Config.hint_4_2 # type: ignore
+ film_title
+ Config.hint_4_3, # type: ignore
}
],
temperature=1,
max_tokens=256,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
)
output = str(response.choices[0].message.content)
pista += Config.hint_4_4 + film_title + "\n" + output # type: ignore
last_pista = 4
return pista, n + 1, last_pista
def curiosity(secret, Config):
response = openai.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{
"role": "user",
"content": Config.curiosity + secret + '".',
}
],
temperature=1,
max_tokens=256,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
)
output = str(response.choices[0].message.content)
return output
def ireplace(old, new, text):
idx = 0
while idx < len(text):
index_l = text.lower().find(old.lower(), idx)
if index_l == -1:
return text
text = text[:index_l] + new + text[index_l + len(old) :]
idx = index_l + len(new)
return text
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