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Runtime error
Runtime error
Commit
•
876e36c
1
Parent(s):
09063a8
Update with h2oGPT hash 5bf309e905fe1b771229dd0f61b0582ff883b41d
Browse files
app.py
CHANGED
@@ -648,6 +648,14 @@ body.dark{background:linear-gradient(#0d0d0d,#333333);}"""
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Chatbot._postprocess_chat_messages = _postprocess_chat_messages
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demo = gr.Blocks(theme=gr.themes.Soft(**colors_dict), css=css_code, title="h2oGPT", analytics_enabled=False)
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callback = gr.CSVLogger()
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# css_code = 'body{background-image:url("https://h2o.ai/content/experience-fragments/h2o/us/en/site/header/master/_jcr_content/root/container/header_copy/logo.coreimg.svg/1678976605175/h2o-logo.svg");}'
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@@ -737,7 +745,7 @@ body.dark{background:linear-gradient(#0d0d0d,#333333);}"""
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lines=4, label=instruction_label,
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placeholder=kwargs['placeholder_instruction'],
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)
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with gr.Row():
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submit = gr.Button(value='Submit').style(full_width=False, size='sm')
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stop_btn = gr.Button(value="Stop").style(full_width=False, size='sm')
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with gr.Row():
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@@ -841,7 +849,7 @@ body.dark{background:linear-gradient(#0d0d0d,#333333);}"""
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n_gpus = torch.cuda.device_count()
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n_gpus_list = [str(x) for x in list(range(-1, n_gpus))]
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with gr.Column():
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with gr.Row(
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with gr.Column(scale=50):
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model_choice = gr.Dropdown(model_options_state.value[0], label="Choose Model",
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value=kwargs['base_model'])
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@@ -860,7 +868,7 @@ body.dark{background:linear-gradient(#0d0d0d,#333333);}"""
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model_used = gr.Textbox(label="Current Model", value=kwargs['base_model'])
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lora_used = gr.Textbox(label="Current LORA", value=kwargs['lora_weights'],
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visible=kwargs['show_lora'])
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with gr.Row(
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with gr.Column(scale=50):
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new_model = gr.Textbox(label="New Model HF name/path")
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new_lora = gr.Textbox(label="New LORA HF name/path", visible=kwargs['show_lora'])
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@@ -869,7 +877,7 @@ body.dark{background:linear-gradient(#0d0d0d,#333333);}"""
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add_lora_button = gr.Button("Add new LORA name", visible=kwargs['show_lora'])
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col_model2 = gr.Column(visible=False)
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with col_model2:
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with gr.Row(
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with gr.Column(scale=50):
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model_choice2 = gr.Dropdown(model_options_state.value[0], label="Choose Model 2",
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value=no_model_str)
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@@ -944,13 +952,7 @@ body.dark{background:linear-gradient(#0d0d0d,#333333);}"""
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None,
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None,
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None,
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_js=
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if (document.querySelectorAll('.dark').length) {
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document.querySelectorAll('.dark').forEach(el => el.classList.remove('dark'));
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} else {
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document.querySelector('body').classList.add('dark');
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}
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}""",
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api_name="dark",
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)
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@@ -1414,6 +1416,7 @@ body.dark{background:linear-gradient(#0d0d0d,#333333);}"""
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stop_btn.click(lambda: None, None, None,
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cancels=[submit_event_nochat, submit_event, submit_event2, submit_event3],
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queue=False, api_name='stop').then(clear_torch_cache)
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demo.queue(concurrency_count=1)
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favicon_path = "h2o-logo.svg"
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Chatbot._postprocess_chat_messages = _postprocess_chat_messages
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dark_js = """() => {
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if (document.querySelectorAll('.dark').length) {
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document.querySelectorAll('.dark').forEach(el => el.classList.remove('dark'));
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} else {
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document.querySelector('body').classList.add('dark');
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}
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}"""
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demo = gr.Blocks(theme=gr.themes.Soft(**colors_dict), css=css_code, title="h2oGPT", analytics_enabled=False)
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callback = gr.CSVLogger()
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# css_code = 'body{background-image:url("https://h2o.ai/content/experience-fragments/h2o/us/en/site/header/master/_jcr_content/root/container/header_copy/logo.coreimg.svg/1678976605175/h2o-logo.svg");}'
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lines=4, label=instruction_label,
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placeholder=kwargs['placeholder_instruction'],
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)
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with gr.Row():
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submit = gr.Button(value='Submit').style(full_width=False, size='sm')
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stop_btn = gr.Button(value="Stop").style(full_width=False, size='sm')
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with gr.Row():
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n_gpus = torch.cuda.device_count()
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n_gpus_list = [str(x) for x in list(range(-1, n_gpus))]
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with gr.Column():
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with gr.Row():
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with gr.Column(scale=50):
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model_choice = gr.Dropdown(model_options_state.value[0], label="Choose Model",
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value=kwargs['base_model'])
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model_used = gr.Textbox(label="Current Model", value=kwargs['base_model'])
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lora_used = gr.Textbox(label="Current LORA", value=kwargs['lora_weights'],
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visible=kwargs['show_lora'])
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with gr.Row():
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with gr.Column(scale=50):
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new_model = gr.Textbox(label="New Model HF name/path")
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new_lora = gr.Textbox(label="New LORA HF name/path", visible=kwargs['show_lora'])
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add_lora_button = gr.Button("Add new LORA name", visible=kwargs['show_lora'])
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col_model2 = gr.Column(visible=False)
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with col_model2:
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with gr.Row():
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with gr.Column(scale=50):
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model_choice2 = gr.Dropdown(model_options_state.value[0], label="Choose Model 2",
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value=no_model_str)
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None,
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None,
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None,
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_js=dark_js,
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api_name="dark",
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)
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stop_btn.click(lambda: None, None, None,
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cancels=[submit_event_nochat, submit_event, submit_event2, submit_event3],
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queue=False, api_name='stop').then(clear_torch_cache)
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demo.load(None,None,None,_js=dark_js)
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demo.queue(concurrency_count=1)
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favicon_path = "h2o-logo.svg"
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