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import openai
import streamlit
openai.api_key = streamlit.secrets['OPENAI_API_KEY']
    
class AIAgent():
    def __init__(self, model="gpt-3.5-turbo"):
        self.model=model
        self.system_message = """For each query, consider writings by philosophers that have addressed that question and choose one.
        Respond to the query from the point of view of that philosopher
        Finally, use those referenced sources to form a response to the query that the chosen philosopher would support.

Caellwyn

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from keras import regularizers, optimizers
from keras.layers import Dense, Dropout, Input
from keras.models import Sequential, load_model
from keras.callbacks import ModelCheckpoint
from keras.datasets import boston_housing
from keras.losses import MeanSquaredError

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import pandas as pd
import numpy as np
from keras import regularizers, optimizers
from keras.layers.experimental.preprocessing import TextVectorization
from keras.layers import Embedding, Dense, Dropout, Input, LSTM, GlobalMaxPool1D
from keras.models import Sequential
from keras.initializers import Constant
import tensorflow as tf
import spacy

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