Adding file test: 028bdf26-de04-4b72-b3b4-89ba1d2f6a6f

chatbot_logic.py

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+
+# Import necessary libraries
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Load pre-trained model and tokenizer
+model_name = 'microsoft/DialoGPT-medium'
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def generate_response(user_input, chat_history_ids=None):
+    # Encode the new user input, add the eos_token and return a tensor in Pytorch
+    new_user_input_ids = tokenizer.encode(user_input + tokenizer.eos_token, return_tensors='pt')
+
+    # Append the new user input tokens to the chat history, 
+    # pass the tokens to the model, and get the response
+    bot_input_ids = torch.cat([chat_history_ids, new_user_input_ids], dim=-1) if chat_history_ids is not None else new_user_input_ids
+    chat_history_ids = model.generate(bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id)
+
+    # Decode the generated response from the model
+    response = tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)
+    return response, chat_history_ids
+
+# Example usage:
+# response, chat_history_ids = generate_response("Hello, how are you?")
+# print(response)