File size: 5,040 Bytes
82fea12
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
import json
from pathlib import Path

import gradio as gr
import torch

from modules import shared


with open(Path(__file__).resolve().parent / '../css/main.css', 'r') as f:
    css = f.read()
with open(Path(__file__).resolve().parent / '../css/chat.css', 'r') as f:
    chat_css = f.read()
with open(Path(__file__).resolve().parent / '../css/main.js', 'r') as f:
    main_js = f.read()
with open(Path(__file__).resolve().parent / '../css/chat.js', 'r') as f:
    chat_js = f.read()

refresh_symbol = '🔄'
delete_symbol = '🗑️'
save_symbol = '💾'

theme = gr.themes.Default(
    font=['Helvetica', 'ui-sans-serif', 'system-ui', 'sans-serif'],
    font_mono=['IBM Plex Mono', 'ui-monospace', 'Consolas', 'monospace'],
).set(
    border_color_primary='#c5c5d2',
    button_large_padding='6px 12px',
    body_text_color_subdued='#484848',
    background_fill_secondary='#eaeaea'
)


def list_model_elements():
    elements = [
        'loader',
        'cpu_memory',
        'auto_devices',
        'disk',
        'cpu',
        'bf16',
        'load_in_8bit',
        'trust_remote_code',
        'load_in_4bit',
        'compute_dtype',
        'quant_type',
        'use_double_quant',
        'wbits',
        'groupsize',
        'model_type',
        'pre_layer',
        'triton',
        'desc_act',
        'no_inject_fused_attention',
        'no_inject_fused_mlp',
        'no_use_cuda_fp16',
        'threads',
        'n_batch',
        'no_mmap',
        'low_vram',
        'mlock',
        'n_gpu_layers',
        'n_ctx',
        'llama_cpp_seed',
        'gpu_split',
        'max_seq_len',
        'compress_pos_emb',
        'alpha_value'
    ]

    for i in range(torch.cuda.device_count()):
        elements.append(f'gpu_memory_{i}')

    return elements


def list_interface_input_elements():
    elements = [
        'max_new_tokens',
        'seed',
        'temperature',
        'top_p',
        'top_k',
        'typical_p',
        'epsilon_cutoff',
        'eta_cutoff',
        'repetition_penalty',
        'repetition_penalty_range',
        'encoder_repetition_penalty',
        'no_repeat_ngram_size',
        'min_length',
        'do_sample',
        'penalty_alpha',
        'num_beams',
        'length_penalty',
        'early_stopping',
        'mirostat_mode',
        'mirostat_tau',
        'mirostat_eta',
        'add_bos_token',
        'ban_eos_token',
        'truncation_length',
        'custom_stopping_strings',
        'skip_special_tokens',
        'stream',
        'tfs',
        'top_a',
    ]

    if shared.args.chat:
        elements += [
            'character_menu',
            'history',
            'name1',
            'name2',
            'greeting',
            'context',
            'chat_generation_attempts',
            'stop_at_newline',
            'mode',
            'instruction_template',
            'name1_instruct',
            'name2_instruct',
            'context_instruct',
            'turn_template',
            'chat_style',
            'chat-instruct_command',
        ]
    else:
        elements.append('textbox')
        if not shared.args.notebook:
            elements.append('output_textbox')

    elements += list_model_elements()
    return elements


def gather_interface_values(*args):
    output = {}
    for i, element in enumerate(list_interface_input_elements()):
        output[element] = args[i]

    if not shared.args.multi_user:
        shared.persistent_interface_state = output
        Path('logs').mkdir(exist_ok=True)
        with open(Path(f'logs/session_{shared.get_mode()}_autosave.json'), 'w') as f:
            f.write(json.dumps(output, indent=4))

    return output


def apply_interface_values(state, use_persistent=False):
    if use_persistent:
        state = shared.persistent_interface_state

    elements = list_interface_input_elements()
    if len(state) == 0:
        return [gr.update() for k in elements]  # Dummy, do nothing
    else:
        return [state[k] if k in state else gr.update() for k in elements]


class ToolButton(gr.Button, gr.components.IOComponent):
    """Small button with single emoji as text, fits inside gradio forms"""

    def __init__(self, **kwargs):
        super().__init__(**kwargs)

    def get_block_name(self):
        return "button"


def create_refresh_button(refresh_component, refresh_method, refreshed_args, elem_class):
    def refresh():
        refresh_method()
        args = refreshed_args() if callable(refreshed_args) else refreshed_args

        for k, v in args.items():
            setattr(refresh_component, k, v)

        return gr.update(**(args or {}))

    refresh_button = ToolButton(value=refresh_symbol, elem_classes=elem_class)
    refresh_button.click(
        fn=refresh,
        inputs=[],
        outputs=[refresh_component]
    )

    return refresh_button


def create_delete_button(**kwargs):
    return ToolButton(value=delete_symbol, **kwargs)


def create_save_button(**kwargs):
    return ToolButton(value=save_symbol, **kwargs)