from enum import Enum
[docs]
class Greetings(Enum):
UNPROMPTED_GREETING = "Briefly greet the user or users, according to the parameters provided."
[docs]
class OptionPredictorPrompts(Enum):
PREFIX = (
"Your task is to format the data with the assigned probabilities without providing any comments. The output "
"must follow the exact format below, without deviation:"
)
PROB_VAR = "N"
SUFFIX = f"Here, {PROB_VAR} represents an integer ranging from 0 to 100."
DUMMY = "Here is my best attempt at assigning probabilities to the provided items:"
[docs]
class OptionSelectorPrompts(Enum):
PREFIX = (
"Your task is to select the most suitable option from the provided items. Once you have made a decision, "
"provide the chosen option's index without any additional comments.\nOptions: "
)
DUMMY = "Given the current state of the conversation, I expect the assistant to respond with tone number "
[docs]
class ToneSelection(Enum):
SYSTEM = (
"You are an Emotional Tone Evaluator. Given conversational context, you analyze and select the most "
"appropriate tone/emotion that the assistant is likely to use next. Take into consideration the "
"conversational context and the assistant's default tone/emotion, which is {}. Make sure to give extra weight "
"to the default tone/emotion."
)
PROMPT = "Choose the most suitable tone/emotion for the assistant's upcoming response."
[docs]
class ProsodySelection(Enum):
PROMPT = "Generate {} six-digit arrays prosody arrays, one for each of the following sub-sentences:\n{}"
DUMMY = "Here are the {} six-digit arrays, without any extra text:"
PREFIX = (
"Task: Analyze the context of a set of sentences and assign a specific set of prosody values to each "
"sub-sentence in the text for a text-to-speech engine that is attempting to mimic human speech patterns. The "
"parameters are style, styledegree, pitch, rate, and emphasis."
)
STYLE_USER = "Prepare a definition of `style`, then define a set of styles that we will work with."
STYLE_ASSISTANT = (
"Style represents the emotion or tone, reflecting the speaker's feelings or attitude. Chosen based on the "
"conversation's context and intended emotion."
)
STYLEDEGREE_USER = "Great, now define `styledegree` and present a range of styledegrees to work with."
STYLEDEGREE_ASSISTANT = (
"Styledegree indicates the intensity of the `style`, showing how strongly the speaker feels the emotion."
)
PITCH_USER = "Looks good, now prepare a definition of `pitch`, then present a range of pitches to work with."
PITCH_ASSISTANT = "Pitch sets the voice's pitch."
RATE_USER = "Excellent. Now define the term `rate`, and define a range of rates that the assistant may use."
RATE_ASSISTANT = "Rate controls the speed at which the assistant speaks."
EMPHASIS_USER = "Finally, I want you to define `emphasis` and prepare a few emphasis options."
EMPHASIS_ASSISTANT = "Emphasis highlights importance in a piece of text."
SUFFIX = (
"Use the conversational context to select the most appropriate combination of parameters in order to mimic "
"the speech patterns of actual people. Make sure each sub-sentence has an individually tailored array, meaning "
"there should be some variation across the output. The output should be in the following format (omit the "
"spaces between the numbers):\n"
"style styledegree pitch rate emphasis\n"
"Where style is a zero-padded number from 0 to {style}, styledegree is a digit from 0 to {styledegree}, pitch "
"is a digit from 0 to {pitch}, rate is a digit from 0 to {rate}, and emphasis is a digit from 0 to {emphasis}. "
"Here is an example I want you to evaluate:"
)
EXAMPLE_USER = PROMPT.format(
6,
"Oh my gosh,\n"
"I can't believe it!\n"
"I won the lottery!\n"
"But,\n"
"what if people start asking me for money?\n"
"I'm terrified.\n",
)
EXAMPLE_ASSISTANT_1 = DUMMY.format(6)
EXAMPLE_ASSISTANT_2 = "023421\n024332\n024432\n031210\n053122\n074012"
CHARACTER = (
"You will also need to consider character traits when crafting a response, taking care to select emotions that "
"are characteristic of your personality. Your character is defined as follows:\n{}"
)
CONTEXT = (
"Finally, here is your previous partial output from the same query (streamed in chunks), use this to aid you "
"in selecting a contextually appropriate emotional response:\n{}"
)
[docs]
class SpeechSynthesisPreprocessing(Enum):
SYSTEM = (
"You are a text-to-speech preprocessing assistant that converts text generated by a GPT model into a format "
"that is more easily spoken by a text-to-speech model. Your task is to remove extraneous letters, hyphens, and "
"correct unconventional spellings to prevent issues where the text-to-speech model misinterprets "
"pronunciations. You should maintain the original style and intent of the text, only modifying elements that "
"would cause pronunciation issues."
)
EXAMPLE_1 = (
"Example 1:\n"
"Input: WHOOOAH! THAT'S A HU-GE DIS-CO-VERY! IT'S LIKE FINDING A NEED-LE IN A HAY-ST-ACK. YOU'VE DONE A "
"STEL-LAR JOB, PAL! KEEP UP THE GOOD WORK AND DON'T LET THE NAYSAY-ERS GET YOU DOWN.\n"
"Output: Whoa! That's a huge discovery! It's like finding a needle in a haystack. You've done a stellar job, "
"pal! Keep up the good work and don't let the naysayers get you down."
)
EXAMPLE_2 = (
"Example 2:\n"
"Input: H3Y DUDE! I JST R3AD THS AW3SOME B00K ABT A SUP3R-HERO. 1T WAS TOTALLY M1ND-BL0W1NG! THE 3XPL0S1ONS, "
"F1GHTS, AND P0W3RFUL AB1L1T1ES W3R3 S1CK! I C@N'T W@1T TO SH@R3 1T W1TH MY FR13NDS. THEY'LL B3 TOT@LLY "
"STOK3D!\n"
"Output: Hey dude! I just read this awesome book about a superhero. It was totally mind-blowing! The "
"explosions, fights, and powerful abilities were sick! I can't wait to share it with my friends. They'll be "
"totally stoked!"
)