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enhanced code
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75682dcbf3
commit
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@ -3321,7 +3321,12 @@ class APScript(StateMachine):
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return title
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def plan_with_images(self, request: str, images:list, actions_list:list=[LoLLMsAction], context:str = "", max_answer_length: int = 512) -> List[LoLLMsAction]:
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def plan_with_images(self,
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request: str,
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images:list,
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actions_list:list=[LoLLMsAction],
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context:str = "",
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max_answer_length: int = 512) -> List[LoLLMsAction]:
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"""
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creates a plan out of a request and a context
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@ -3332,23 +3337,21 @@ class APScript(StateMachine):
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Returns:
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int: Index of the selected option within the possible_ansers list. Or -1 if there was not match found among any of them.
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"""
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start_header_id_template = self.config.start_header_id_template
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end_header_id_template = self.config.end_header_id_template
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system_message_template = self.config.system_message_template
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template = "\n".join([
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f"{start_header_id_template}{system_message_template}{end_header_id_template}",
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prompt = "\n".join([
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self.system_full_header,
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"Act as plan builder, a tool capable of making plans to perform the user requested operation."
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])
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if len(actions_list)>0:
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template += "\n".join([
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prompt += "\n".join([
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"The plan builder is an AI that responds in json format. It should plan a succession of actions in order to reach the objective.",
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f"{start_header_id_template}list of action types information{end_header_id_template}",
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self.system_custom_header("list of action types information"),
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"[",
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"{actions_list}",
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f"{actions_list}",
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"]",
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"The AI should respond in this format using data from actions_list:",
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"```json",
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"{",
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' "actions": [',
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' {',
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@ -3366,33 +3369,22 @@ class APScript(StateMachine):
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' ...',
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' ]',
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"}"
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"```",
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])
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if context != "":
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template += "\n".join([
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f"{start_header_id_template}context{end_header_id_template}",
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"{context}Ok"
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prompt += "\n".join([
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self.system_custom_header("context"),
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f"{context}"
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])
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template += "\n".join([
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f"{start_header_id_template}request{end_header_id_template}{{request}}",
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f"{start_header_id_template}plan{end_header_id_template}To achieve the requested objective, this is the list of actions to follow, formatted as requested in json format:\n```json\n"
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prompt += "\n".join([
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self.system_custom_header("request"),
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self.ai_custom_header("plan"),
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])
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pr = PromptReshaper(template)
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prompt = pr.build({
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"context":context,
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"request":request,
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"actions_list":",\n".join([f"{action}" for action in actions_list])
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},
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self.personality.model.tokenize,
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self.personality.model.detokenize,
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self.personality.model.config.ctx_size,
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["previous_discussion"]
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)
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gen = self.generate_with_images(prompt, images, max_answer_length).strip().replace("</s>","").replace("<s>","")
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gen = self.remove_backticks(gen)
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self.print_prompt("full",prompt+gen)
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gen = fix_json(gen)
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return generate_actions(actions_list, gen)
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code = self.generate_code(prompt, images, max_answer_length).strip().replace("</s>","").replace("<s>","")
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code = fix_json(code)
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return generate_actions(actions_list, code)
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def plan(self, request: str, actions_list:list=[LoLLMsAction], context:str = "", max_answer_length: int = 512) -> List[LoLLMsAction]:
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"""
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