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from openai import OpenAI
from dotenv import load_dotenv
import os
# Ruta relativa al archivo .env
dotenv_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), ".env")
# Cargar el archivo .env desde la ruta especificada
load_dotenv(dotenv_path)
# Leer la clave API
API_KEY = os.getenv("OPENAI_API_KEY")
client = OpenAI(api_key=API_KEY)
def send_ChatGPT(emotion_face=None, emotion_text=None):
# Verificar qué parámetros se proporcionaron
if emotion_face and emotion_text:
prompt = f"Act like you are a psychologist expert in emotions, i want recommendation of music, fun activities, actions, or advices if the image im receiving shows a {emotion_face} emotion and the text from a chat that the user provide us shows a {emotion_text} emotion"
elif emotion_face:
prompt = f"i want recommendation of music, fun activities, actions, or advices because im expiriencing a {emotion_face} emotion"
elif emotion_text:
prompt = f"i want recommendation of music, fun activities, actions, or advices because im expiriencing a {emotion_text} emotion"
else:
raise ValueError("At least one of 'emotion_face' or 'emotion_text' must be provided.")
# Realizar la llamada al modelo
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{"role": "user", "content": prompt}
],
temperature=0.81,
max_tokens=2000,
top_p=1,
frequency_penalty=0,
presence_penalty=0
)
return response.choices[0].message.content
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