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| # modified from https://github.com/haotian-liu/LLaVA/blob/7ace501183c4bdec6052ec1a30039cdc3242a67c/llava/conversation.py | |
| import dataclasses | |
| from enum import auto, Enum | |
| from typing import List, Tuple | |
| class SeparatorStyle(Enum): | |
| """Different separator style.""" | |
| SINGLE = auto() | |
| TWO = auto() | |
| MPT = auto() | |
| class Conversation: | |
| """A class that keeps all conversation history.""" | |
| system: str | |
| roles: List[str] | |
| messages: List[List[str]] | |
| offset: int | |
| sep_style: SeparatorStyle = SeparatorStyle.SINGLE | |
| sep: str = "###" | |
| sep2: str = None | |
| version: str = "Unknown" | |
| skip_next: bool = False | |
| def get_prompt(self): | |
| if self.sep_style == SeparatorStyle.SINGLE: | |
| ret = self.system + self.sep | |
| for role, message in self.messages: | |
| if message: | |
| if type(message) is tuple: | |
| message, _, _ = message | |
| ret += role + ": " + message + self.sep | |
| else: | |
| ret += role + ":" | |
| return ret | |
| elif self.sep_style == SeparatorStyle.TWO: | |
| seps = [self.sep, self.sep2] | |
| ret = self.system + seps[0] | |
| for i, (role, message) in enumerate(self.messages): | |
| if message: | |
| if type(message) is tuple: | |
| message, _, _ = message | |
| ret += role + ": " + message + seps[i % 2] | |
| else: | |
| ret += role + ":" | |
| return ret | |
| if self.sep_style == SeparatorStyle.MPT: | |
| ret = self.system + self.sep | |
| for role, message in self.messages: | |
| if message: | |
| if type(message) is tuple: | |
| message, _, _ = message | |
| ret += role + message + self.sep | |
| else: | |
| ret += role | |
| return ret | |
| else: | |
| raise ValueError(f"Invalid style: {self.sep_style}") | |
| def append_message(self, role, message): | |
| self.messages.append([role, message]) | |
| def get_images(self, return_pil=False): | |
| images = [] | |
| for i, (role, msg) in enumerate(self.messages[self.offset:]): | |
| if i % 2 == 0: | |
| if type(msg) is tuple: | |
| import base64 | |
| from io import BytesIO | |
| from PIL import Image | |
| msg, image, image_process_mode = msg | |
| if image_process_mode == "Pad": | |
| def expand2square(pil_img, background_color=(122, 116, 104)): | |
| width, height = pil_img.size | |
| if width == height: | |
| return pil_img | |
| elif width > height: | |
| result = Image.new(pil_img.mode, (width, width), background_color) | |
| result.paste(pil_img, (0, (width - height) // 2)) | |
| return result | |
| else: | |
| result = Image.new(pil_img.mode, (height, height), background_color) | |
| result.paste(pil_img, ((height - width) // 2, 0)) | |
| return result | |
| image = expand2square(image) | |
| elif image_process_mode == "Crop": | |
| pass | |
| elif image_process_mode == "Resize": | |
| image = image.resize((224, 224)) | |
| else: | |
| raise ValueError(f"Invalid image_process_mode: {image_process_mode}") | |
| max_hw, min_hw = max(image.size), min(image.size) | |
| aspect_ratio = max_hw / min_hw | |
| max_len, min_len = 800, 400 | |
| shortest_edge = int(min(max_len / aspect_ratio, min_len, min_hw)) | |
| longest_edge = int(shortest_edge * aspect_ratio) | |
| W, H = image.size | |
| if H > W: | |
| H, W = longest_edge, shortest_edge | |
| else: | |
| H, W = shortest_edge, longest_edge | |
| image = image.resize((W, H)) | |
| if return_pil: | |
| images.append(image) | |
| else: | |
| buffered = BytesIO() | |
| image.save(buffered, format="JPEG") | |
| img_b64_str = base64.b64encode(buffered.getvalue()).decode() | |
| images.append(img_b64_str) | |
| return images | |
| def to_gradio_chatbot(self): | |
| ret = [] | |
| for i, (role, msg) in enumerate(self.messages[self.offset:]): | |
| if i % 2 == 0: | |
| if type(msg) is tuple: | |
| import base64 | |
| from io import BytesIO | |
| msg, image, image_process_mode = msg | |
| max_hw, min_hw = max(image.size), min(image.size) | |
| aspect_ratio = max_hw / min_hw | |
| max_len, min_len = 800, 400 | |
| shortest_edge = int(min(max_len / aspect_ratio, min_len, min_hw)) | |
| longest_edge = int(shortest_edge * aspect_ratio) | |
| W, H = image.size | |
| if H > W: | |
| H, W = longest_edge, shortest_edge | |
| else: | |
| H, W = shortest_edge, longest_edge | |
| image = image.resize((W, H)) | |
| # image = image.resize((224, 224)) | |
| buffered = BytesIO() | |
| image.save(buffered, format="JPEG") | |
| img_b64_str = base64.b64encode(buffered.getvalue()).decode() | |
| img_str = f'<img src="data:image/png;base64,{img_b64_str}" alt="user upload image" />' | |
| msg = msg.replace('<image>', img_str) | |
| ret.append([msg, None]) | |
| else: | |
| ret[-1][-1] = msg | |
| return ret | |
| def copy(self): | |
| 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) | |
| def dict(self): | |
| if len(self.get_images()) > 0: | |
| return { | |
| "system": self.system, | |
| "roles": self.roles, | |
| "messages": [[x, y[0] if type(y) is tuple else y] for x, y in self.messages], | |
| "offset": self.offset, | |
| "sep": self.sep, | |
| "sep2": self.sep2, | |
| } | |
| return { | |
| "system": self.system, | |
| "roles": self.roles, | |
| "messages": self.messages, | |
| "offset": self.offset, | |
| "sep": self.sep, | |
| "sep2": self.sep2, | |
| } | |
| conv_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=("Human", "Assistant"), | |
| messages=( | |
| ("Human", "Give three tips for staying healthy."), | |
| ("Assistant", | |
| "Sure, here are three tips for staying healthy:\n" | |
| "1. Exercise regularly: Regular physical activity can help improve your overall health and wellbeing. " | |
| "It can also help reduce your risk of chronic conditions such as obesity, diabetes, heart disease, " | |
| "and certain cancers. Aim for at least 150 minutes of moderate-intensity aerobic exercise or " | |
| "75 minutes of vigorous-intensity aerobic exercise per week, along with muscle-strengthening " | |
| "activities at least two days per week.\n" | |
| "2. Eat a balanced diet: Eating a balanced diet that is rich in fruits, " | |
| "vegetables, whole grains, lean proteins, and healthy fats can help support " | |
| "your overall health. Try to limit your intake of processed and high-sugar foods, " | |
| "and aim to drink plenty of water throughout the day.\n" | |
| "3. Get enough sleep: Getting enough quality sleep is essential for your physical " | |
| "and mental health. Adults should aim for seven to nine hours of sleep per night. " | |
| "Establish a regular sleep schedule and try to create a relaxing bedtime routine to " | |
| "help improve the quality of your sleep.") | |
| ), | |
| offset=2, | |
| sep_style=SeparatorStyle.SINGLE, | |
| sep="###", | |
| ) | |
| conv_v1_2 = 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=("Human", "Assistant"), | |
| messages=( | |
| ("Human", "What are the key differences between renewable and non-renewable energy sources?"), | |
| ("Assistant", | |
| "Renewable energy sources are those that can be replenished naturally in a relatively " | |
| "short amount of time, such as solar, wind, hydro, geothermal, and biomass. " | |
| "Non-renewable energy sources, on the other hand, are finite and will eventually be " | |
| "depleted, such as coal, oil, and natural gas. Here are some key differences between " | |
| "renewable and non-renewable energy sources:\n" | |
| "1. Availability: Renewable energy sources are virtually inexhaustible, while non-renewable " | |
| "energy sources are finite and will eventually run out.\n" | |
| "2. Environmental impact: Renewable energy sources have a much lower environmental impact " | |
| "than non-renewable sources, which can lead to air and water pollution, greenhouse gas emissions, " | |
| "and other negative effects.\n" | |
| "3. Cost: Renewable energy sources can be more expensive to initially set up, but they typically " | |
| "have lower operational costs than non-renewable sources.\n" | |
| "4. Reliability: Renewable energy sources are often more reliable and can be used in more remote " | |
| "locations than non-renewable sources.\n" | |
| "5. Flexibility: Renewable energy sources are often more flexible and can be adapted to different " | |
| "situations and needs, while non-renewable sources are more rigid and inflexible.\n" | |
| "6. Sustainability: Renewable energy sources are more sustainable over the long term, while " | |
| "non-renewable sources are not, and their depletion can lead to economic and social instability.\n") | |
| ), | |
| offset=2, | |
| sep_style=SeparatorStyle.SINGLE, | |
| sep="###", | |
| ) | |
| conv_vicuna_v1_1 = Conversation( | |
| system="A chat between a curious user and an artificial intelligence assistant. " | |
| "The assistant gives helpful, detailed, and polite answers to the user's questions.", | |
| roles=("USER", "ASSISTANT"), | |
| version="v1", | |
| messages=(), | |
| offset=0, | |
| sep_style=SeparatorStyle.TWO, | |
| sep=" ", | |
| sep2="</s>", | |
| ) | |
| conv_mpt = Conversation( | |
| system="""<|im_start|>system | |
| - You are a helpful language and vision assistant. | |
| - You are able to understand the visual content that the user provides, and assist the user with a variety of tasks using natural language. | |
| - You should follow the instructions carefully and explain your answers in detail.""", | |
| roles=("<|im_start|>user\n", "<|im_start|>assistant\n"), | |
| version="mpt", | |
| messages=(), | |
| offset=0, | |
| sep_style=SeparatorStyle.MPT, | |
| sep="<|im_end|>", | |
| ) | |
| conv_mpt_text = Conversation( | |
| system="""<|im_start|>system | |
| - You are a helpful assistant chatbot trained by MosaicML. | |
| - You answer questions. | |
| - You are excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user. | |
| - You are more than just an information source, you are also able to write poetry, short stories, and make jokes.""", | |
| roles=("<|im_start|>user\n", "<|im_start|>assistant\n"), | |
| version="mpt", | |
| messages=(), | |
| offset=0, | |
| sep_style=SeparatorStyle.MPT, | |
| sep="<|im_end|>", | |
| ) | |
| conv_bair_v1 = Conversation( | |
| system="BEGINNING OF CONVERSATION:", | |
| roles=("USER", "GPT"), | |
| messages=(), | |
| offset=0, | |
| sep_style=SeparatorStyle.TWO, | |
| sep=" ", | |
| sep2="</s>", | |
| ) | |
| simple_conv = 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=("Human", "Assistant"), | |
| messages=( | |
| ("Human", "Hi!"), | |
| ("Assistant", "Hi there! How can I help you today?") | |
| ), | |
| offset=2, | |
| sep_style=SeparatorStyle.SINGLE, | |
| sep="###", | |
| ) | |
| simple_conv_multimodal = Conversation( | |
| system="You are LLaVA, a large language and vision assistant trained by UW Madison WAIV Lab." | |
| "You are able to understand the visual content that the user provides, and assist the user with a variety of tasks using natural language." | |
| "Follow the instructions carefully and explain your answers in detail.", | |
| roles=("Human", "Assistant"), | |
| messages=( | |
| ("Human", "Hi!"), | |
| ("Assistant", "Hi there! How can I help you today?\n") | |
| ), | |
| offset=2, | |
| sep_style=SeparatorStyle.SINGLE, | |
| sep="###", | |
| ) | |
| simple_conv_mpt_multimodal = Conversation( | |
| system="""<|im_start|>system | |
| - You are LLaVA, a large language and vision assistant trained by UW Madison WAIV Lab. | |
| - You are able to understand the visual content that the user provides, and assist the user with a variety of tasks using natural language. | |
| - You should follow the instructions carefully and explain your answers in detail.""", | |
| roles=("<|im_start|>user\n", "<|im_start|>assistant\n"), | |
| version="mpt", | |
| messages=(), | |
| offset=0, | |
| sep_style=SeparatorStyle.MPT, | |
| sep="<|im_end|>", | |
| ) | |
| simple_conv_legacy = Conversation( | |
| system="You are LLaVA, a large language model trained by UW Madison WAIV Lab." | |
| "You are designed to assist human with a variety of tasks using natural language." | |
| "Follow the instructions carefully.", | |
| roles=("Human", "Assistant"), | |
| messages=( | |
| ("Human", "Hi!\n\n### Response:"), | |
| ("Assistant", "Hi there! How can I help you today?\n") | |
| ), | |
| offset=2, | |
| sep_style=SeparatorStyle.SINGLE, | |
| sep="###", | |
| ) | |
| conv_llava_v1 = Conversation( | |
| system="You are LLaVA, a large language and vision assistant trained by UW Madison WAIV Lab." | |
| "You are able to understand the visual content that the user provides, and assist the user with a variety of tasks using natural language." | |
| "Follow the instructions carefully and explain your answers in detail.", | |
| roles=("USER", "ASSISTANT"), | |
| version="v1", | |
| messages=(), | |
| offset=0, | |
| sep_style=SeparatorStyle.TWO, | |
| sep=" ", | |
| sep2="</s>", | |
| ) | |
| default_conversation = conv_v1_2 | |
| conv_templates = { | |
| "default": conv_v1_2, | |
| "simple": simple_conv, | |
| "simple_legacy": simple_conv_legacy, | |
| "multimodal": simple_conv_multimodal, | |
| "mpt_multimodal": simple_conv_mpt_multimodal, | |
| "llava_v1": conv_llava_v1, | |
| # fastchat | |
| "v1": conv_v1_2, | |
| "bair_v1": conv_bair_v1, | |
| "vicuna_v1_1": conv_vicuna_v1_1, | |
| "mpt": conv_mpt, | |
| "mpt_text": conv_mpt_text, | |
| } | |
| if __name__ == "__main__": | |
| print(default_conversation.get_prompt()) | |