File size: 18,433 Bytes
8af0d0c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
import dataclasses
from enum import auto, Enum
from typing import List, Tuple


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



# simple_conv_multimodal = Conversation(
#     system="You are GOT, a large language and vision assistant trained by Foundation Model Group, Megvii Technology."
#            "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.",
#     # system="",
#     roles=("Human", "Assistant"),
#     messages=(
#         ("Human", "Hi!"),
#         ("Assistant", "Hi there!  How can I help you today?\n")
#     ),
#     offset=2,
#     sep_style=SeparatorStyle.SINGLE,
#     sep="###",
# )

# 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|>",
# )

@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.SINGLE
    sep: str = "<|im_end|>"
    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 + '\n'
            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:
            if self.system:
                ret = self.system + self.sep 
            else:
                ret = ''
            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}")
        # if self.sep_style == SeparatorStyle.MPT:
        #     if self.system:
        #         ret = self.system + self.sep
        #     else:
        #         ret = ''
        #     for role, message in self.messages:
        #         if message:
        #             if type(message) is tuple:
        #                 message, _, _ = message
        #             ret += role + message + self.sep 
        #             # if 'user' in role:
        #             #     ret += role + message + self.sep + "\n"
        #             # else:
        #             #     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))
                                result.paste(pil_img)
                                return result
                            else:
                                result = Image.new(pil_img.mode, (height, height), background_color)
                                # result.paste(pil_img, ((height - width) // 2, 0))
                                result.paste(pil_img)
                                return result
                        image = expand2square(image)
                    elif image_process_mode == "Crop":
                        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))
                    elif image_process_mode == "Resize":
                        image = image.resize((224, 224))
                    else:
                        raise ValueError(f"Invalid image_process_mode: {image_process_mode}")

                    if return_pil:
                        images.append(image)
                    else:
                        buffered = BytesIO()
                        image.convert('RGB').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 designed by Megvii(旷视), and your name is GOT.
# - 你叫GOT, 你来自旷视, 你是旷视开发的。
# - 你擅长分析表格,仔细读图表中的内容,然后给出你的答案。""",
#     roles=("<|im_start|>user\n", "<|im_start|>assistant\n"),
#     version="mpt",
#     messages=(),
#     offset=0,
#     sep_style=SeparatorStyle.MPT,
#     sep="<|im_end|>",
# )

conv_mpt = Conversation(
    system="""<|im_start|>system
You should follow the instructions carefully and explain your answers in detail.""",
    # system = None,
    roles=("<|im_start|>user\n", "<|im_start|>assistant\n"),
    version="mpt",
    messages=(),
    offset=0,
    sep_style=SeparatorStyle.MPT,
    sep="<|im_end|>",
)

conv_mpt_eval = Conversation(
    system="",
    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="You are GOT, a large language model trained by Foundation Model Group, Megvii Technology, based on LLaMA architecture."
#            "You are designed to assist human with a variety of tasks using natural language."
#            "Follow the instructions carefully.",
#     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 = Conversation(
    system="",
    roles=("Human", "Assistant"),
    messages=(
    ),
    offset=0,
    sep_style=SeparatorStyle.SINGLE,
    sep="###",
)

simple_conv_multimodal = Conversation(
    system="You are GOT, a large language and vision assistant trained by Foundation Model Group, Megvii Technology."
           "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.",
    # system="",
    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 GOT, a large language and vision assistant trained by Foundation Model Group, Megvii Technology.
- 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 GOT, a large language model trained by Foundation Model Group, Megvii Technology."
           "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 GOT, a large language and vision assistant trained by Foundation Model Group, Megvii Technology."
           "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_mpt
conv_templates = {
    "default": simple_conv_multimodal,
    "simple": simple_conv,
    "simple_legacy": simple_conv_legacy,
    "multimodal": simple_conv,
    "mpt_multimodal": simple_conv_mpt_multimodal,
    "llava_v1": conv_llava_v1,
    "mpt_eval": conv_mpt_eval,
    # fastchat
    "v1": conv_vicuna_v1_1,
    "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())