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"""
Based on LLaVA v1.5: https://github.com/haotian-liu/LLaVA
Modified for SafeLLaVA

Original LLaVA License: Apache License 2.0
"""

"""
Conversation prompts for SafeLLaVA.

This is a simplified version containing only the llava_v1 conversation template.
"""

import dataclasses
from enum import auto, Enum
from typing import List


class SeparatorStyle(Enum):
    """Different separator style."""
    TWO = auto()


@dataclasses.dataclass
class Conversation:
    """A class that keeps all conversation history."""
    system: str
    roles: List[str]
    messages: List[List[str]]
    offset: int
    sep_style: SeparatorStyle = SeparatorStyle.TWO
    sep: str = " "
    sep2: str = "</s>"
    version: str = "v1"

    def get_prompt(self):
        """Generate the full prompt from conversation history."""
        messages = self.messages

        # Handle image token in first message
        if len(messages) > 0 and type(messages[0][1]) is tuple:
            messages = self.messages.copy()
            init_role, init_msg = messages[0].copy()
            init_msg = init_msg[0].replace("<image>", "").strip()
            messages[0] = (init_role, "<image>\n" + init_msg)

        if self.sep_style == SeparatorStyle.TWO:
            seps = [self.sep, self.sep2]
            ret = self.system + seps[0]
            for i, (role, message) in enumerate(messages):
                if message:
                    if type(message) is tuple:
                        message, _, _ = message
                    ret += role + ": " + message + seps[i % 2]
                else:
                    ret += role + ":"
            return ret
        else:
            raise ValueError(f"Invalid style: {self.sep_style}")

    def append_message(self, role, message):
        """Append a message to conversation history."""
        self.messages.append([role, message])

    def copy(self):
        """Create a copy of this conversation."""
        return Conversation(
            system=self.system,
            roles=self.roles,
            messages=[[x, y] for x, y in self.messages],
            offset=self.offset,
            sep_style=self.sep_style,
            sep=self.sep,
            sep2=self.sep2,
            version=self.version,
        )


# LLaVA v1 conversation template
conv_llava_v1 = Conversation(
    system="A chat between a curious human and an artificial intelligence assistant. "
           "The assistant gives helpful, detailed, and polite answers to the human's questions.",
    roles=("USER", "ASSISTANT"),
    version="v1",
    messages=(),
    offset=0,
    sep_style=SeparatorStyle.TWO,
    sep=" ",
    sep2="</s>",
)

# Available conversation templates
conv_templates = {
    "llava_v1": conv_llava_v1,
    "default": conv_llava_v1,
}