| 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"] |
|
|