File size: 9,569 Bytes
b931367
6e4938d
c383152
b931367
 
c383152
b931367
1b21038
c383152
b931367
c383152
b931367
c383152
 
 
b931367
6e4938d
 
c383152
6e4938d
 
 
b931367
 
 
 
 
 
 
 
 
 
439ab17
 
f5ced5e
439ab17
 
 
 
f5ced5e
6d00bb0
 
 
f5ced5e
6d00bb0
 
 
f5ced5e
 
 
 
 
 
 
 
 
 
b931367
 
 
 
6e4938d
b931367
 
c383152
 
 
 
 
 
b931367
c383152
efd0da0
c383152
 
 
 
 
 
 
 
 
9758946
 
 
 
c383152
 
 
 
 
 
 
 
efd0da0
c383152
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b931367
 
 
1b21038
b931367
 
c383152
 
efd0da0
c383152
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b931367
 
 
 
 
 
c383152
 
efd0da0
c383152
7519849
c383152
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b931367
 
 
 
 
 
c383152
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b931367
 
 
c383152
 
 
 
 
 
 
 
 
b931367
 
c383152
b931367
c383152
 
a4e9ea3
 
3f80c6a
 
c383152
 
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
import gradio as gr
import logging
import uuid
from datetime import datetime
import pandas as pd
from i18n import get_text
from model_handler import ModelHandler
from tab_chat import create_chat_tab, get_history_df, on_app_load
from tab_chat import update_language as update_chat_language
from tab_code import create_code_tab
from tab_code import update_language as update_code_language
from tab_smart_writer import create_smart_writer_tab
from tab_smart_writer import update_language as update_writer_language
from tab_welcome import create_welcome_tab
from tab_welcome import update_language as update_welcome_language

# Configure logging
logging.basicConfig(
    level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
)
logger = logging.getLogger(__name__)

CSS = """

#chatbot {
  height: calc(100vh - 21px - 16px);
  max-height: 1500px;
}

footer { 
    display: none !important; 
}

/* Disable transition and animation for no-transition class */
.no-transition, .no_transition * {
    transition: none !important;
    animation: none !important;
    animation-play-state: paused !important;
}

.welcome-content {
    min-width: 240px;
    max-width: 800px;
    padding: 20px;
    margin-left: auto;
    margin-right: auto;
    align-items: center;
}

.language-buttons {
    gap: 10px; /* Space between buttons */
    align-items: center; /* Center buttons within their column */
}

.language-buttons > button {
    width: 240px; /* Example fixed width for buttons */
}
"""

if __name__ == "__main__":
    # Instantiate the model handler with the configuration
    logger.info("Starting Ling Space Application...")
    model_handler = ModelHandler()

    with gr.Blocks(analytics_enabled=False, fill_height=True, fill_width=True) as demo:
        # Language State
        current_lang_state = gr.State("en")

        # --- Collect all components that need language updates ---
        all_i18n_outputs = []

        with gr.Tabs(elem_id="indicator-space-app") as tabs:
            welcome_components = create_welcome_tab(current_lang_state.value, tabs)

            # The order of components MUST be consistent
            welcome_outputs = [
                welcome_components["tab"],
                welcome_components["header"],
                welcome_components["description"],
                welcome_components["chat_description"],
                welcome_components["code_description"],
                welcome_components["writer_description"],
                welcome_components["model_links_header"],
                welcome_components["hf_link"],
                welcome_components["hf_report"],
                welcome_components["x_account"],
                welcome_components["lang_select_header"],
                welcome_components["en_button"],
                welcome_components["zh_button"],
            ]
            all_i18n_outputs.extend(welcome_outputs)

            # --- Chat Tab ---
            with gr.TabItem(
                get_text("chat_tab_title", current_lang_state.value), id="chat"
            ) as chat_tab:
                chat_components = create_chat_tab(
                    current_lang_state.value, current_lang_state
                )

            chat_outputs = [
                chat_tab,
                chat_components["new_chat_btn"],
                chat_components["history_df"],
                chat_components["chatbot"],
                chat_components["textbox"],
                chat_components["submit_btn"],
                chat_components["recommended_title"],
                chat_components["recommended_dataset"],
                chat_components["system_prompt_textbox"],
                chat_components["temperature_slider"],
            ]
            all_i18n_outputs.extend(chat_outputs)

            chat_tab.select(
                fn=None,
                js="() => {window.dispatchEvent(new CustomEvent('tabSelect.chat')); return null;}",
            )

            # --- Code Tab ---
            with gr.TabItem(
                get_text("code_tab_title", current_lang_state.value), id="code"
            ) as code_tab:
                code_components = create_code_tab(
                    current_lang_state.value, current_lang_state
                )

            code_outputs = [
                code_tab,
                code_components["prompt_input"],
                code_components["overall_style_input"],
                code_components["decoration_input"],
                code_components["palette_display"],
                code_components["generate_style_btn"],
                code_components["examples_title"],
                code_components["examples_dataset"],
                code_components["generate_button"],
                code_components["preview_tab"],
                code_components["preview_header"],
                code_components["source_code_tab"],
                code_components["source_code_header"],
                code_components["code_output"],
                code_components["refresh_button"],
                code_components["log_chatbot"],
                code_components["js_error_channel"],
                # fullscreen_button is updated in its own handler, so it's excluded here
            ]
            all_i18n_outputs.extend(code_outputs)

            code_tab.select(
                fn=None,
                js="() => {window.dispatchEvent(new CustomEvent('tabSelect.code')); return null;}",
            )

            # --- Writer Tab ---
            with gr.TabItem(
                get_text("writer_tab_title", current_lang_state.value), id="writer"
            ) as writer_tab:
                writer_components = create_smart_writer_tab(current_lang_state)

            writer_outputs = [
                writer_tab,
                writer_components["style_input"],
                writer_components["kb_accordion"],
                writer_components["kb_input"],
                writer_components["btn_suggest_kb"],
                writer_components["suggested_kb_dataframe"],
                writer_components["short_outline_accordion"],
                writer_components["short_outline_input"],
                writer_components["btn_sync_outline"],
                writer_components["long_outline_accordion"],
                writer_components["long_outline_input"],
                writer_components["flow_suggestion_display"],
                writer_components["btn_accept_flow"],
                writer_components["btn_change_flow"],
                writer_components["inspiration_prompt_input"],
                writer_components["prompt_suggestions_dataset"],
                writer_components["refresh_suggestions_btn"],
                writer_components["btn_generate_para"],
                writer_components["btn_change_para"],
                writer_components["btn_accept_para"],
                writer_components["para_suggestion_display"],
                writer_components["polish_title"],
                writer_components["polish_soon"],
                writer_components["stats_display"],
                writer_components["editor"],
            ]
            all_i18n_outputs.extend(writer_outputs)

            writer_tab.select(
                fn=None,
                js="() => {window.dispatchEvent(new CustomEvent('tabSelect.writing')); return null;}",
            )

        # --- Language Change Handler ---
        def on_language_change(lang):
            # Dispatch updates for each tab
            welcome_updates = update_welcome_language(lang, welcome_components)
            chat_updates = update_chat_language(lang, chat_components)
            chat_updates[chat_tab] = gr.update(label=get_text("chat_tab_title", lang))

            code_updates = update_code_language(lang, code_components)
            code_updates[code_tab] = gr.update(label=get_text("code_tab_title", lang))

            writer_updates = update_writer_language(lang, writer_components)
            writer_updates[writer_tab] = gr.update(
                label=get_text("writer_tab_title", lang)
            )

            all_updates = {
                **welcome_updates,
                **chat_updates,
                **code_updates,
                **writer_updates,
            }
            return tuple(all_updates.get(comp) for comp in all_i18n_outputs)

        current_lang_state.change(
            fn=on_language_change,
            inputs=[current_lang_state],
            outputs=all_i18n_outputs,
            show_progress="hidden",
        )

        # --- App Load Handler ---
        conversation_store = chat_components["conversation_store"]
        current_conversation_id = chat_components["current_conversation_id"]
        history_df = chat_components["history_df"]
        chatbot = chat_components["chatbot"]

        demo.load(
            on_app_load,
            inputs=[conversation_store, current_conversation_id, current_lang_state],
            outputs=[
                current_conversation_id,
                conversation_store,
                history_df,
                chatbot,
                current_lang_state,
            ],
            js="() => {window.dispatchEvent(new CustomEvent('appStart')); console.log('appStart'); return {};}",
        )

    demo.queue(default_concurrency_limit=32, max_size=128)
    # Launch the Gradio application
    demo.launch(
        theme=gr.themes.Default(),
        ssr_mode=False,
        max_threads=64,
        css=CSS,
        head="",
        head_paths=["./static/toastify.html", "./static/app.html"],
    )