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import requests | |
def validate(token: str): | |
api_endpoint = "https://api.openai.com/v1/chat/completions" | |
api_key = token | |
headers = { | |
"Content-Type" : "application/json", | |
"Authorization": f"Bearer {api_key}" | |
} | |
messages = [ | |
{"role": "user", "content": "Say this is a test!"} | |
] | |
data = { | |
"model": "gpt-3.5-turbo", | |
"messages": messages | |
} | |
response = requests.post(api_endpoint, json=data, headers=headers) | |
return response | |
def create_index(model): | |
index = model.initialize_index("bloomLlama") | |
return index | |
def get_response(vector_index, query_str): | |
print("query_str: ", query_str) | |
query_engine = vector_index.as_query_engine() | |
response = query_engine.query(query_str) | |
return response |