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import os |
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import dataclasses |
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import base64 |
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import copy |
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import hashlib |
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import datetime |
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from io import BytesIO |
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from PIL import Image |
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from typing import Any, List, Dict, Union |
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from dataclasses import field |
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from utils import LOGDIR |
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def pil2base64(img: Image.Image) -> str: |
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buffered = BytesIO() |
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img.save(buffered, format="PNG") |
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return base64.b64encode(buffered.getvalue()).decode() |
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def resize_img(img: Image.Image, max_len: int, min_len: int) -> Image.Image: |
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max_hw, min_hw = max(img.size), min(img.size) |
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aspect_ratio = max_hw / min_hw |
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shortest_edge = int(min(max_len / aspect_ratio, min_len, min_hw)) |
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longest_edge = int(shortest_edge * aspect_ratio) |
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W, H = img.size |
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if H > W: |
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H, W = longest_edge, shortest_edge |
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else: |
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H, W = shortest_edge, longest_edge |
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return img.resize((W, H)) |
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@dataclasses.dataclass |
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class Conversation: |
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"""A class that keeps all conversation history.""" |
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SYSTEM = "system" |
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USER = "user" |
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ASSISTANT = "assistant" |
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roles: List[str] = field( |
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default_factory=lambda: [ |
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Conversation.SYSTEM, |
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Conversation.USER, |
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Conversation.ASSISTANT, |
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] |
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) |
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mandatory_system_message = "我是书生·万象,英文名是InternVL,是由上海人工智能实验室、清华大学及多家合作单位联合开发的多模态大语言模型。" |
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system_message: str = "请尽可能详细地回答用户的问题。" |
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messages: List[Dict[str, Any]] = field(default_factory=lambda: []) |
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max_image_limit: int = 4 |
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skip_next: bool = False |
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streaming_placeholder: str = "▌" |
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def get_system_message(self): |
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return self.mandatory_system_message + "\n\n" + self.system_message |
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def set_system_message(self, system_message: str): |
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self.system_message = system_message |
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return self |
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def get_prompt(self, inlude_image=False): |
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send_messages = [{"role": "system", "content": self.get_system_message()}] |
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for message in self.messages: |
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if message["role"] == self.USER: |
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user_message = { |
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"role": self.USER, |
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"content": message["content"], |
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} |
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if inlude_image and "image" in message: |
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user_message["image"] = [] |
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for image in message["image"]: |
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user_message["image"].append(pil2base64(image)) |
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send_messages.append(user_message) |
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elif message["role"] == self.ASSISTANT: |
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send_messages.append( |
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{"role": self.ASSISTANT, "content": message["content"]} |
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) |
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elif message["role"] == self.SYSTEM: |
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send_messages.append( |
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{ |
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"role": self.SYSTEM, |
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"content": message["content"], |
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} |
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) |
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else: |
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raise ValueError(f"Invalid role: {message['role']}") |
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return send_messages |
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def get_prompt_v2(self, inlude_image=False, max_dynamic_patch=12): |
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send_messages = [ |
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{ |
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"role": "system", |
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"content": self.get_system_message(), |
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} |
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] |
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for message in self.messages: |
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if message["role"] == self.USER: |
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user_message = { |
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"role": self.USER, |
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"content": message["content"], |
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} |
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if inlude_image and "image" in message: |
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user_message["image"] = [] |
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for image in message["image"]: |
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user_message["image"].append(pil2base64(image)) |
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content = [{"type": "text", "text": message["content"]}] |
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for image_base64 in user_message["image"]: |
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content.append({ |
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"type": "image_url", |
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"image_url": { |
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"url": f"data:image/jpeg;base64,{image_base64}", |
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"max_dynamic_patch": max_dynamic_patch |
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} |
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}) |
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send_messages.append({'role': self.USER, 'content': content}) |
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else: |
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send_messages.append(user_message) |
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elif message["role"] == self.ASSISTANT: |
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send_messages.append( |
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{"role": self.ASSISTANT, "content": message["content"]} |
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) |
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elif message["role"] == self.SYSTEM: |
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send_messages.append( |
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{ |
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"role": self.SYSTEM, |
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"content": message["content"], |
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} |
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) |
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else: |
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raise ValueError(f"Invalid role: {message['role']}") |
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return send_messages |
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def append_message( |
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self, |
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role, |
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content, |
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image_list=None, |
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): |
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self.messages.append( |
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{ |
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"role": role, |
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"content": content, |
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"image": [] if image_list is None else image_list, |
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} |
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) |
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def get_images( |
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self, |
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return_copy=False, |
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return_base64=False, |
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source: Union[str, None] = None, |
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): |
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assert source in [self.USER, self.ASSISTANT, None], f"Invalid source: {soure}" |
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images = [] |
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for i, msg in enumerate(self.messages): |
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if source and msg["role"] != source: |
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continue |
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for image in msg.get("image", []): |
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if return_copy: |
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image = image.copy() |
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if return_base64: |
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image = pil2base64(image) |
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images.append(image) |
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return images |
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def to_gradio_chatbot(self): |
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ret = [] |
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for i, msg in enumerate(self.messages): |
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if msg["role"] == self.SYSTEM: |
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continue |
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alt_str = ( |
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"user upload image" if msg["role"] == self.USER else "output image" |
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) |
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image = msg.get("image", []) |
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if not isinstance(image, list): |
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images = [image] |
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else: |
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images = image |
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img_str_list = [] |
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for i in range(len(images)): |
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image = resize_img( |
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images[i], |
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400, |
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200, |
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) |
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img_b64_str = pil2base64(image) |
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W, H = image.size |
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img_str = f'<img src="data:image/png;base64,{img_b64_str}" alt="{alt_str}" style="width: {W}px; max-width:none; max-height:none"></img>' |
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img_str_list.append(img_str) |
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if msg["role"] == self.USER: |
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msg_str = " ".join(img_str_list) + msg["content"] |
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ret.append([msg_str, None]) |
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else: |
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msg_str = msg["content"] + " ".join(img_str_list) |
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ret[-1][-1] = msg_str |
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return ret |
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def update_message(self, role, content, image=None, idx=-1): |
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assert len(self.messages) > 0, "No message in the conversation." |
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idx = (idx + len(self.messages)) % len(self.messages) |
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assert ( |
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self.messages[idx]["role"] == role |
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), f"Role mismatch: {role} vs {self.messages[idx]['role']}" |
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self.messages[idx]["content"] = content |
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if image is not None: |
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if image not in self.messages[idx]["image"]: |
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self.messages[idx]["image"] = [] |
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if not isinstance(image, list): |
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image = [image] |
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self.messages[idx]["image"].extend(image) |
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def return_last_message(self): |
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return self.messages[-1]["content"] |
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def end_of_current_turn(self): |
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assert len(self.messages) > 0, "No message in the conversation." |
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assert ( |
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self.messages[-1]["role"] == self.ASSISTANT |
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), f"It should end with the message from assistant instead of {self.messages[-1]['role']}." |
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if self.messages[-1]["content"][-1] != self.streaming_placeholder: |
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return |
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self.update_message(self.ASSISTANT, self.messages[-1]["content"][:-1], None) |
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def copy(self): |
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return Conversation( |
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mandatory_system_message=self.mandatory_system_message, |
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system_message=self.system_message, |
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roles=copy.deepcopy(self.roles), |
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messages=copy.deepcopy(self.messages), |
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) |
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def dict(self): |
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""" |
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all_images = state.get_images() |
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all_image_hash = [hashlib.md5(image.tobytes()).hexdigest() for image in all_images] |
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t = datetime.datetime.now() |
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for image, hash in zip(all_images, all_image_hash): |
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filename = os.path.join( |
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LOGDIR, "serve_images", f"{t.year}-{t.month:02d}-{t.day:02d}", f"{hash}.jpg" |
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) |
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if not os.path.isfile(filename): |
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os.makedirs(os.path.dirname(filename), exist_ok=True) |
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image.save(filename) |
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""" |
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messages = [] |
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for message in self.messages: |
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images = [] |
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for image in message.get("image", []): |
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filename = self.save_image(image) |
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images.append(filename) |
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messages.append( |
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{ |
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"role": message["role"], |
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"content": message["content"], |
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"image": images, |
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} |
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) |
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if len(images) == 0: |
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messages[-1].pop("image") |
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return { |
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"mandatory_system_message": self.mandatory_system_message, |
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"system_message": self.system_message, |
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"roles": self.roles, |
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"messages": messages, |
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} |
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def save_image(self, image: Image.Image) -> str: |
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t = datetime.datetime.now() |
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image_hash = hashlib.md5(image.tobytes()).hexdigest() |
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filename = os.path.join( |
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LOGDIR, |
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"serve_images", |
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f"{t.year}-{t.month:02d}-{t.day:02d}", |
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f"{image_hash}.jpg", |
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) |
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if not os.path.isfile(filename): |
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os.makedirs(os.path.dirname(filename), exist_ok=True) |
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image.save(filename) |
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return filename |
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