|
import os |
|
from openai import OpenAI |
|
import requests |
|
|
|
API_TOKEN = os.getenv("HUGGINGFACE_API_TOKEN") |
|
|
|
API_URL = "https://api-inference.huggingface.co/models/meta-llama/Llama-2-7b-chat-hf" |
|
headers = {"Authorization": f"Bearer {API_TOKEN}"} |
|
|
|
client = OpenAI( |
|
organization=os.getenv("OPENAI_ORG_ID"), api_key=os.getenv("OPENAI_API_KEY") |
|
) |
|
|
|
|
|
def gpt_chatbot(user_request: str): |
|
completion = client.chat.completions.create( |
|
model="gpt-4o-mini", |
|
messages=[ |
|
{"role": "system", "content": "You are a helpful assistant."}, |
|
{"role": "user", "content": user_request}, |
|
], |
|
) |
|
|
|
return completion.choices[0].message.content |
|
|
|
|
|
def llama_chatbot(user_request: str): |
|
response = requests.post(API_URL, headers=headers, json={"inputs": user_request}) |
|
|
|
return response.json()[0]["generated_text"] |
|
|