feat: Init.

.gitignore

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+venv
+.mypy_cache
+__py_cache__
+```

Dockerfile

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+# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
+# you will also find guides on how best to write your Dockerfile
+
+FROM python:3.9
+
+COPY app.py .
+COPY requirements.txt .
+
+RUN python -m venv venv
+RUN ./venv/bin/pip install -r requirements.txt
+
+ENV H2O_WAVE_LISTEN=":7860"
+ENV H2O_WAVE_ADDRESS="http://127.0.0.1:7860"
+
+CMD ["./venv/bin/wave", "run", "app.py", "--no-reload"]

app.py

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+from h2o_wave import main, app, Q, ui, data
+from gradio_client import Client
+import ast
+
+
+async def init_ui(q: Q) -> None:
+    q.page['meta'] = ui.meta_card(
+        box='',
+        layouts=[
+            ui.layout(breakpoint='xs', min_height='100vh', zones=[
+                ui.zone('main', size='1', direction=ui.ZoneDirection.ROW, zones=[
+                    ui.zone('sidebar', size='250px'),
+                    ui.zone('body', direction=ui.ZoneDirection.COLUMN, zones=[
+                        ui.zone('title', size='55px'),
+                        ui.zone('content', size='1'),
+                        ui.zone('footer'),
+                    ]),
+                ])
+            ])
+        ],
+        title='H2O GPT',
+    )
+    q.page['sidebar'] = ui.nav_card(
+        box='sidebar', color='primary', title='GPT Wave app', subtitle='Powered by H2O GPT',
+        value=f"#{q.args['#']}' if q.args['#'] else '#page1",
+        image='https://wave.h2o.ai/img/h2o-logo.svg', items=[
+            ui.nav_group('', items=[
+                ui.nav_item(name='wave-docs', label='Wave docs', path='https://wave.h2o.ai/'),
+                ui.nav_item(name='h2o-gpt', label='H2O GPT', path='https://github.com/h2oai/h2ogpt'),
+                ui.nav_item(name='fine-tune', label='LLM Studio', path='https://github.com/h2oai/h2o-llmstudio'),
+                ui.nav_item(name='more-models', label='More models', path='https://huggingface.co/h2oai'),
+            ]),
+        ],
+        secondary_items=[
+            ui.toggle(name='dark_mode', label='Dark mode', trigger=True),
+            ui.text('<center>Made with H2O Wave.</center>')
+        ]
+    )
+
+    q.page['chatbot'] = ui.chatbot_card(
+        box=ui.box('content'),
+        data=data('content from_user', t='list'),
+        name='chatbot'
+    )
+    q.page['title'] = ui.section_card(
+        box='title',
+        title='',
+        subtitle='',
+        items=[
+            ui.dropdown(name='model', trigger=True, label='', value='gpt', choices=[
+                ui.choice(name='gpt', label='H2O GPT'),
+                ui.choice(name='falcon', label='h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3'),
+                ui.choice(name='llama', label='h2oai/h2ogpt-research-oasst1-llama-65b'),
+                ui.choice(name='mpt', label='mosaicml/mpt-30b-instruct'),
+            ]),
+            ui.button(name='clear', label='Clear', icon='Delete'),
+        ],
+    )
+
+
+@app('/')
+async def serve(q: Q):
+    if not q.client.initialized:
+        await init_ui(q)
+        q.client.model_client = Client('https://gpt.h2o.ai/')
+        q.client.initialized = True
+
+    # A new message arrived.
+    if q.args.chatbot:
+        # Append user message.
+        q.page['chatbot'].data += [q.args.chatbot, True]
+        # Append bot response.
+        kwargs = dict(instruction_nochat=q.args.chatbot)
+        try:
+            res = q.client.model_client.predict(str(dict(kwargs)), api_name='/submit_nochat_api')
+            bot_res = ast.literal_eval(res)['response']
+            q.page['chatbot'].data += [bot_res, False]
+        except:
+            q.page['meta'] = ui.meta_card(box='', notification_bar=ui.notification_bar(
+                text='An error occurred during prediction. Please try later or a different model.',
+                type='error',
+            ))
+    elif q.args.clear:
+        # Recreate the card.
+        q.page['chatbot'] = ui.chatbot_card(
+            box=ui.box('content'),
+            data=data('content from_user', t='list'),
+            name='chatbot'
+        )
+    elif q.args.dark_mode is not None:
+        q.page['meta'].theme = 'h2o-dark' if q.args.dark_mode else 'light' 
+        q.page['sidebar'].color = 'card' if q.args.dark_mode else 'primary'
+    elif q.args.model:
+        try:
+            q.client.model_client = Client(f'https://{q.args.model}.h2o.ai/')
+            q.page['meta'] = ui.meta_card(box='', notification_bar=ui.notification_bar(
+                text='Model changed successfully.',
+                type='success',
+            ))
+        except:
+            q.page['meta'] = ui.meta_card(box='', notification_bar=ui.notification_bar(
+                text='An error occurred while changing the model. Please try a different one.',
+                type='error',
+            ))
+
+    await q.page.save()

requirements.txt

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+h2o-wave
+gradio-client