Create utils.py
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utils.py
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class ChatState():
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"""
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Manages the conversation history for a turn-based chatbot
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Follows the turn-based conversation guidelines for the Gemma family of models
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documented at https://ai.google.dev/gemma/docs/formatting
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"""
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__START_TURN_USER__ = "Instruction:\n"
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__START_TURN_MODEL__ = "\n\nResponse:\n"
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__END_TURN__ = ""#"\n"
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def __init__(self, model, system=""):
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"""
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Initializes the chat state.
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Args:
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model: The language model to use for generating responses.
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system: (Optional) System instructions or bot description.
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"""
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self.model = model
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self.system = system
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self.history = []
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def add_to_history_as_user(self, message):
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"""
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Adds a user message to the history with start/end turn markers.
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"""
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self.history.append(self.__START_TURN_USER__ + message + self.__END_TURN__)
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def add_to_history_as_model(self, message):
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"""
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Adds a model response to the history with the start turn marker.
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Model will generate end turn marker.
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"""
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self.history.append(self.__START_TURN_MODEL__ + message+ "\n")
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def get_history(self):
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"""
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Returns the entire chat history as a single string.
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"""
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return "".join([*self.history])
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def get_full_prompt(self):
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"""
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Builds the prompt for the language model, including history and system description.
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"""
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prompt = self.get_history() + self.__START_TURN_MODEL__
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if len(self.system)>0:
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prompt = self.system + "\n" + prompt
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return prompt
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def send_message(self, message):
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"""
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Handles sending a user message and getting a model response.
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Args:
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message: The user's message.
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Returns:
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The model's response.
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"""
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self.add_to_history_as_user(message)
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prompt = self.get_full_prompt()
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response = self.model.generate(prompt, max_length=4096)
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result = response.replace(prompt, "") # Extract only the new response
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self.add_to_history_as_model(result)
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return result
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