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@@ -86,42 +86,30 @@ def stop_everything_event():
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def chatbot_wrapper(text, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, name1, name2, context, check, chat_prompt_size):
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shared.stop_everything = False
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-
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- # Check if any extension wants to hijack this function call
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- visible_text = None
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- prompt = None
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- for extension, _ in extensions_module.iterator():
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- if hasattr(extension, 'input_hijack') and extension.input_hijack['state'] in ['temporary', 'permanent']:
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- if extension.input_hijack['state'] == 'temporary':
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- extension.input_hijack['state'] = 'off'
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- values = extension.input_hijack['value']
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- if len(values) == 2:
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- text, visible_text = values
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- elif len(values) == 4:
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- text, visible_text, reply, visible_reply = valueso
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- if not shared.stop_everything:
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- shared.history['internal'].append([text, reply])
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- shared.history['visible'].append([visible_text, visible_reply])
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- return shared.history['visible']
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- if hasattr(extension, 'prompt_hijack') and extension.prompt_hijack['state'] in ['temporary', 'permanent']:
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- if extension.prompt_hijack['state'] == 'temporary':
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- extension.prompt_hijack['state'] = 'off'
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- prompt = extension.prompt_hijack['value']
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-
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just_started = True
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eos_token = '\n' if check else None
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-
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if 'pygmalion' in shared.model_name.lower():
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name1 = "You"
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+ # Check if any extension wants to hijack this function call
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+ visible_text = None
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+ custom_prompt_generator = None
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+ for extension, _ in extensions_module.iterator():
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+ if hasattr(extension, 'input_hijack') and extension.input_hijack['state'] == True:
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+ text, visible_text = extension.input_hijack['value']
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+ if custom_prompt_generator is None and hasattr(extension, 'custom_prompt_generator'):
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+ custom_prompt_generator = extension.custom_prompt_generator
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+
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if visible_text is None:
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visible_text = text
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if shared.args.chat:
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visible_text = visible_text.replace('\n', '<br>')
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text = apply_extensions(text, "input")
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- if prompt is None:
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+ if custom_prompt_generator is None:
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prompt = generate_chat_prompt(text, max_new_tokens, name1, name2, context, chat_prompt_size)
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+ else:
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+ prompt = custom_prompt_generator(text, max_new_tokens, name1, name2, context, chat_prompt_size)
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# Generate
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for reply in generate_reply(prompt, max_new_tokens, do_sample, temperature, top_p, typical_p, repetition_penalty, top_k, min_length, no_repeat_ngram_size, num_beams, penalty_alpha, length_penalty, early_stopping, eos_token=eos_token, stopping_string=f"\n{name1}:"):
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