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import dataclasses
from enum import auto, Enum
from typing import List, Tuple
import io
import base64
import os
from PIL import Image
import copy
IMG_FLAG = '<image>'
class SeparatorStyle(Enum):
"""Different separator style."""
SINGLE = auto()
TWO = auto()
MPT = auto()
PLAIN = auto()
LLAMA_2 = auto()
def decode_image(encoded_image: str) -> Image:
decoded_bytes = base64.b64decode(encoded_image.encode('utf-8'))
buffer = io.BytesIO(decoded_bytes)
image = Image.open(buffer)
return image
def encode_image(image: Image.Image, format: str = 'PNG') -> str:
with io.BytesIO() as buffer:
image.save(buffer, format=format)
encoded_image = base64.b64encode(buffer.getvalue()).decode('utf-8')
return encoded_image
@dataclasses.dataclass
class Conversation:
"""A class that keeps all conversation history."""
system: str
roles: List[str]
messages: List[dict] # multi-turn -> user & assistant -> {'images': [PIL.Image,], 'text': str}
offset: int
sep_style: SeparatorStyle = SeparatorStyle.SINGLE
sep: str = "###"
sep2: str = None
version: str = "Unknown"
skip_next: bool = False
def get_prompt(self):
messages = copy.deepcopy(self.messages)
if self.sep_style == SeparatorStyle.SINGLE:
if self.system is None or self.system == '':
text = ''
else:
text = self.system + self.sep
images = []
for message in messages:
text += message['role'] + ": " + message['message']['text'] + self.sep
for image_path in message['message']['images']:
image = Image.open(image_path).resize((256, 256))
image_base64 = encode_image(image)
images.append(image_base64)
text += self.roles[1] + ":"
elif self.sep_style == SeparatorStyle.LLAMA_2:
b_token = "[INST] "
e_token = " [/INST]"
if self.system is None or self.system == '':
text = ''
else:
text = f"<<SYS>>\n{self.system}\n<</SYS>>\n\n"
images = []
for idx, message in enumerate(messages):
# text += message['role'] + ": " + message['message']['text'] + self.sep
if idx % 2 == 0:
text += b_token + message['message']['text'] + e_token + self.sep
else:
text += message['message']['text'] + self.sep
for image_path in message['message']['images']:
image = Image.open(image_path)
image_base64 = encode_image(image)
images.append(image_base64)
else:
raise NotImplementedError
return {'text': text, 'images': images}
# def update_image_ids(self, images_ids):
# image_count = 0
# for message in self.messages:
# for idx in range(len(message['message']['images_ids'])):
# if message['message']["images_ids"][idx] is None:
# message['message']["images_ids"][idx] = images_ids[image_count]
# image_count += 1
# assert len(images_ids) == image_count, print(len(images_ids), image_count)
def append_message(self, role, message):
self.messages.append([role, message])
def to_gradio_chatbot(self):
dialog = []
for i, single_turn in enumerate(self.messages[self.offset:]):
single_turn = single_turn['message']
text_list = single_turn['text'].split(IMG_FLAG)
assert len(text_list) == len(single_turn['images']) + 1, print(text_list, len(single_turn['images']))
message = ''
for image_idx in range(len(single_turn['images'])):
image_path = single_turn['images'][image_idx]
image = Image.open(image_path)
image_base64 = encode_image(image)
image_str = f'<img src="data:image/png;base64,{image_base64}" alt="user upload image" />'
message += text_list[image_idx] + image_str
# image_path = single_turn['images'][image_idx]
# if image_path == '':
# message += text_list[image_idx] + '<corrupt_image>'
# else:
# message += text_list[image_idx] + f''
message += text_list[-1]
if i % 2 == 0:
dialog.append([message, None])
else:
dialog[-1][-1] = message
return dialog
def copy(self):
return Conversation(system=self.system,
roles=self.roles,
messages=copy.deepcopy(self.messages),
offset=self.offset,
sep_style=self.sep_style,
sep=self.sep,
sep2=self.sep2,
version=self.version)
def dict(self):
messages = copy.deepcopy(self.messages)
for message in messages:
for i in range(len(message['message']['images'])):
message['message']['images'][i] = os.path.basename(message['message']['images'][i])
return {
"system": self.system,
"roles": self.roles,
"messages": messages,
"offset": self.offset,
"sep": self.sep,
"sep2": self.sep2,
}
conv_seed_vicuna = Conversation(
system="",
roles=("USER", "ASSISTANT"),
version="v2",
messages=[],
offset=0,
sep_style=SeparatorStyle.SINGLE,
sep='\n',
)
conv_seed_vicuna_system = Conversation(
system="A chat between a curious user and an artificial intelligence assistant. ",
roles=("USER", "ASSISTANT"),
version="v2",
messages=[],
offset=0,
sep_style=SeparatorStyle.SINGLE,
sep='\n',
)
conv_seed_llama2 = Conversation(
system="",
roles=("[INST]", "[/INST]"),
version="v2",
messages=[],
offset=0,
sep_style=SeparatorStyle.LLAMA_2,
sep='\n',
)
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