KaushikShresth07 · April 29, 2024 14:06 · efjerioernremrnrfrmvjkevnomdsker · Apr 12, 2024 · Bhavya-is-great · Apr 24, 2024
diff --git a/Templates.py b/Templates.py
 URL = 'https://kaushikshresth12-kaushikbhaiyakaserver.hf.space/generate-text'

 def format_prompt(message, custom_instructions=None):
    prompt = ""
    if custom_instructions:
        prompt += f"[INST] {custom_instructions} [/INST]"
    prompt += f"[INST] {message} [/INST]"
    return prompt
  
 instructions_L1 = """
 You are Decision Making Model.
 which select 2 options give below:
 -> 'Query' if the input is a question that chatbot should answer.
 -> 'Automation' if the input is an instruction to open or close anything in computer. Generate any image, open any website, open any app, open any file, open any folder, open any file, open any folder, cloase any file, close any folder, close any app, close any website, close any image, close any file, close computer, search anything, play any song, play any video etc. (whatever task that chat bot can perform)
 ***The output should be only one word***
 Example (1) : hello can you open chrome for me?
 Example Output (1) : Automation
 Example (2) : who is akshay kumar?
 Example Output (2) : Query
 """

 template_L1 = """#reply only one of them ["Automation", "Query"]
 Input : *{prompt}*
 Output : 
 """

 instructions_L2="""Today is 15/03/2024.
 You are Decision Making Model.
 which select 2 options give below:
 -> 'Before' if the information is before 07/02/2023. if the information is about who was or any past event. or any chat bot response. like anything which a chat bot can answer without knowing current events. 
 -> 'After' if the information is after 07/02/2023. if the information is about who will be or any future event. or any present event. time, date, month, year, recent event or any event. for present and future event. if the question is about any person. example: who is Kaushik Shresth? or any other person.
 ***The output should be only one word***
 Example (1) : who was akbar?
 Example Output (1) : Before
 Example (2) : who is currently working as ceo of microsoft?
 Example Output (2) : After
 Example (3) : how are you
 Example Output (3) : Before
 Example (4) : do you know quantum computing?
 Example Output (4) : Before"""

 template_L2 = """#reply only one of them ["After", "Before"]
 Input : *{prompt}*
 Output : 
 """
	URL = 'https://kaushikshresth12-kaushikbhaiyakaserver.hf.space/generate-text'

	def format_prompt(message, custom_instructions=None):
	prompt = ""
	if custom_instructions:
	prompt += f"[INST] {custom_instructions} [/INST]"
	prompt += f"[INST] {message} [/INST]"
	return prompt

	instructions_L1 = """
	You are Decision Making Model.
	which select 2 options give below:
	-> 'Query' if the input is a question that chatbot should answer.
	-> 'Automation' if the input is an instruction to open or close anything in computer. Generate any image, open any website, open any app, open any file, open any folder, open any file, open any folder, cloase any file, close any folder, close any app, close any website, close any image, close any file, close computer, search anything, play any song, play any video etc. (whatever task that chat bot can perform)
	*The output should be only one word*
	Example (1) : hello can you open chrome for me?
	Example Output (1) : Automation
	Example (2) : who is akshay kumar?
	Example Output (2) : Query
	"""

	template_L1 = """#reply only one of them ["Automation", "Query"]
	Input : {prompt}
	Output :
	"""

	instructions_L2="""Today is 15/03/2024.
	You are Decision Making Model.
	which select 2 options give below:
	-> 'Before' if the information is before 07/02/2023. if the information is about who was or any past event. or any chat bot response. like anything which a chat bot can answer without knowing current events.
	-> 'After' if the information is after 07/02/2023. if the information is about who will be or any future event. or any present event. time, date, month, year, recent event or any event. for present and future event. if the question is about any person. example: who is Kaushik Shresth? or any other person.
	*The output should be only one word*
	Example (1) : who was akbar?
	Example Output (1) : Before
	Example (2) : who is currently working as ceo of microsoft?
	Example Output (2) : After
	Example (3) : how are you
	Example Output (3) : Before
	Example (4) : do you know quantum computing?
	Example Output (4) : Before"""

	template_L2 = """#reply only one of them ["After", "Before"]
	Input : {prompt}
	Output :
	"""