train.py

# Import necessary libraries
import torch
import torch.nn as nn
import torch.optim as optim
from transformers import AutoModelForSequenceClassification, AutoTokenizer

# Define the model
class ChatbotModel(nn.Module):
    def __init__(self):
        super(ChatbotModel, self).__init__()
        self.model = AutoModelForSequenceClassification.from_pretrained("bert-base-uncased")
        self.tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")

    def forward(self, input_ids, attention_mask):
        outputs = self.model(input_ids, attention_mask=attention_mask)
        return outputs

# Train the model
def train_model(model, tokenizer):
    # Load the dataset
    # ...
    # Train the model
    # ...