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https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-22 08:07:56 +01:00
Add shared.is_chat() function
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@ -11,7 +11,7 @@ def get_prompt_by_name(name):
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return df[df['Prompt name'] == name].iloc[0]['Prompt'].replace('\\n', '\n')
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def ui():
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if not shared.args.chat or shared.args.cai_chat:
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if not shared.is_chat():
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choices = ['None'] + list(df['Prompt name'])
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prompts_menu = gr.Dropdown(value=choices[0], choices=choices, label='Prompt')
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@ -74,7 +74,7 @@ def input_modifier(string):
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"""
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# Remove autoplay from the last reply
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if (shared.args.chat or shared.args.cai_chat) and len(shared.history['internal']) > 0:
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if shared.is_chat() and len(shared.history['internal']) > 0:
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shared.history['visible'][-1] = [shared.history['visible'][-1][0], shared.history['visible'][-1][1].replace('controls autoplay>','controls>')]
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shared.processing_message = "*Is recording a voice message...*"
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@ -129,10 +129,12 @@ parser.add_argument("--gradio-auth-path", type=str, help='Set the gradio authent
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args = parser.parse_args()
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# Provisional, this will be deleted later
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deprecated_dict = {'gptq_bits': ['wbits', 0], 'gptq_model_type': ['model_type', None], 'gptq_pre_layer': ['prelayer', 0]}
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for k in deprecated_dict:
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if eval(f"args.{k}") != deprecated_dict[k][1]:
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print(f"Warning: --{k} is deprecated and will be removed. Use --{deprecated_dict[k][0]} instead.")
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exec(f"args.{deprecated_dict[k][0]} = args.{k}")
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def is_chat():
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return any((args.chat, args.cai_chat))
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@ -76,7 +76,7 @@ def fix_galactica(s):
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return s
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def formatted_outputs(reply, model_name):
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if not (shared.args.chat or shared.args.cai_chat):
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if not shared.is_chat():
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if 'galactica' in model_name.lower():
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reply = fix_galactica(reply)
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return reply, reply, generate_basic_html(reply)
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@ -109,7 +109,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
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t0 = time.time()
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original_question = question
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if not (shared.args.chat or shared.args.cai_chat):
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if not shared.is_chat():
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question = apply_extensions(question, "input")
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if shared.args.verbose:
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print(f"\n\n{question}\n--------------------\n")
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@ -121,18 +121,18 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
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if shared.args.no_stream:
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reply = shared.model.generate(context=question, token_count=max_new_tokens, temperature=temperature, top_p=top_p, top_k=top_k, repetition_penalty=repetition_penalty)
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output = original_question+reply
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if not (shared.args.chat or shared.args.cai_chat):
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if not shared.is_chat():
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reply = original_question + apply_extensions(reply, "output")
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yield formatted_outputs(reply, shared.model_name)
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else:
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if not (shared.args.chat or shared.args.cai_chat):
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if not shared.is_chat():
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yield formatted_outputs(question, shared.model_name)
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# RWKV has proper streaming, which is very nice.
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# No need to generate 8 tokens at a time.
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for reply in shared.model.generate_with_streaming(context=question, token_count=max_new_tokens, temperature=temperature, top_p=top_p, top_k=top_k, repetition_penalty=repetition_penalty):
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output = original_question+reply
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if not (shared.args.chat or shared.args.cai_chat):
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if not shared.is_chat():
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reply = original_question + apply_extensions(reply, "output")
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yield formatted_outputs(reply, shared.model_name)
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@ -208,7 +208,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
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new_tokens = len(output) - len(input_ids[0])
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reply = decode(output[-new_tokens:])
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if not (shared.args.chat or shared.args.cai_chat):
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if not shared.is_chat():
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reply = original_question + apply_extensions(reply, "output")
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yield formatted_outputs(reply, shared.model_name)
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@ -226,7 +226,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
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def generate_with_streaming(**kwargs):
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return Iteratorize(generate_with_callback, kwargs, callback=None)
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if not (shared.args.chat or shared.args.cai_chat):
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if not shared.is_chat():
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yield formatted_outputs(original_question, shared.model_name)
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with generate_with_streaming(**generate_params) as generator:
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for output in generator:
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@ -235,7 +235,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
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new_tokens = len(output) - len(input_ids[0])
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reply = decode(output[-new_tokens:])
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if not (shared.args.chat or shared.args.cai_chat):
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if not shared.is_chat():
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reply = original_question + apply_extensions(reply, "output")
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if output[-1] in eos_token_ids:
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@ -253,7 +253,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
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new_tokens = len(output) - len(original_input_ids[0])
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reply = decode(output[-new_tokens:])
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if not (shared.args.chat or shared.args.cai_chat):
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if not shared.is_chat():
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reply = original_question + apply_extensions(reply, "output")
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if np.count_nonzero(np.isin(input_ids[0], eos_token_ids)) < np.count_nonzero(np.isin(output, eos_token_ids)):
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@ -244,7 +244,7 @@ available_loras = get_available_loras()
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# Default extensions
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extensions_module.available_extensions = get_available_extensions()
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if shared.args.chat or shared.args.cai_chat:
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if shared.is_chat():
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for extension in shared.settings['chat_default_extensions']:
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shared.args.extensions = shared.args.extensions or []
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if extension not in shared.args.extensions:
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@ -290,8 +290,8 @@ def create_interface():
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if shared.args.extensions is not None and len(shared.args.extensions) > 0:
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extensions_module.load_extensions()
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with gr.Blocks(css=ui.css if not any((shared.args.chat, shared.args.cai_chat)) else ui.css+ui.chat_css, analytics_enabled=False, title=title) as shared.gradio['interface']:
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if shared.args.chat or shared.args.cai_chat:
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with gr.Blocks(css=ui.css if not shared.is_chat() else ui.css+ui.chat_css, analytics_enabled=False, title=title) as shared.gradio['interface']:
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if shared.is_chat():
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with gr.Tab("Text generation", elem_id="main"):
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if shared.args.cai_chat:
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shared.gradio['display'] = gr.HTML(value=generate_chat_html(shared.history['visible'], shared.settings['name1'], shared.settings['name2'], shared.character))
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