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