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config_demo2.py
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config_demo2.py
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APP_TITLE = "MicroApp Demo App #2"
APP_INTRO = """This app demonstrates all the various AI Prompt configurations that are available to a micro-app. It can be used to understand what kinds of actions a "phase" can accomplish, and how to configure those actions.
"""
APP_HOW_IT_WORKS = """
"""
SHARED_ASSET = {
}
HTML_BUTTON = {
}
SYSTEM_PROMPT = """You provide brief 1-2 sentence answers to the instructions you are provided. You never ask questions in your responses. """
PHASES = {
"phase1": {
"name": "No Submission",
"fields": {
"markdown": {
"type": "markdown",
"body": """A phase can be purely informational and have no submission. It simply displays the fields and moves onto the next phase.""",
"unsafe_allow_html": True
}
},
"no_submission": True
},
"phase2": {
"name": "Basic Feedback",
"fields": {
"markdown": {
"type": "markdown",
"body": """The most basic phase asks a question, receives a response from the user, and sends that response in a prompt to the AI for feedback.""",
"unsafe_allow_html": True
},
"name": {
"type": "text_input",
"label": """What is your name?""",
"value": "Abe"
}
},
"phase_instructions": "The user will provide their name. Welcome them by name.",
"user_prompt": "My name is {name}. Hello!",
"allow_skip": True,
},
"phase3": {
"name": "Skippable Phase",
"fields": {
"markdown": {
"type": "markdown",
"body": """Phases can be skippable. Since an AI can make mistakes and get confused, it is recommended that phases are skippable whenever possible.""",
"unsafe_allow_html": True
},
"skip_me": {
"type": "text_area",
"label": "Write a 2,000 word analysis on The Epistemological Implications of Quantum Entanglement on Post-Structuralist Interpretations of Derrida’s Deconstructionism",
}
},
"phase_instructions": "Analyze the user's essay on The Epistemological Implications of Quantum Entanglement on Post-Structuralist Interpretations of Derrida’s Deconstructionism",
"user_prompt": "{skip_me}",
"allow_skip": True,
},
"phase4": {
"name": "Scored Phase",
"fields": {
"markdown": {
"type": "markdown",
"body": """Phases can be scored according to a rubric. In general, AI provides more accurate scoring when instructions are specific and the criteria are measurable.""",
"unsafe_allow_html": True
},
"animal": {
"type": "text_input",
"label": "Provide the name of an animal. Any animal is fine, but it must be an animal.",
"value": "Monkey"
}
},
"phase_instructions": "The user will provide the name of an animal. Encourage them if they input a valid animal. Explain that they are incorrect if they do not.",
"user_prompt": "{animal}",
"allow_skip": True,
"scored_phase": True,
"rubric": """
1. Animal Name
1 point - The user provides a valid animal name.
0 points - The user provides input that does not include a valid animal name.
""",
"minimum_score": 1
},
"phase5": {
"name": "Hard-Coded Phase",
"fields": {
"markdown": {
"type": "markdown",
"body": """You can provide hard-coded responses. For example, if you are just collecting some input and you want to provide static feedback for that input.""",
"unsafe_allow_html": True
},
"name2": {
"type": "text_input",
"label": "What is another name?",
"key": "name2",
"value": "Abe"
}
},
"allow_skip": True,
"ai_response": False,
"custom_response": "Hi {name2}! This is a hard-coded response, it is not being generated by AI."
},
"phase6": {
"name": "Phase with Revisions",
"fields": {
"markdown": {
"type": "markdown",
"body": """Any phase can have the ability to allow revisions, and a limit to the number of revisions available. This is useful if the AI is generating something that the user might want to tweak.""",
"unsafe_allow_html": True
},
"topic": {
"type": "text_input",
"label": "Give me a topic to generate a multiple choice question for.",
"value": "DisneyLand"
}
},
"allow_skip": True,
"ai_response": True,
"user_prompt": "Please write me a single multiple choice question with three distractors and one correct answer about the following topic: {topic}",
"allow_revisions": True,
"max_revisions": 2,
},
"phase7": {
"name": "Phase with editable prompt",
"fields": {
"markdown": {
"type": "markdown",
"body": """Any phase can have the ability to view and edit the final prompt. This can be useful when you want the user to have fine-grained control over what is being sent to the AI.""",
"unsafe_allow_html": True
},
"domicile": {
"type": "radio",
"label": "Choose one:",
"options": ['Shoe', 'Fishing Boat', 'Water Park'],
}
},
"allow_skip": True,
"ai_response": True,
"user_prompt": "Write a whimsical haiku about {name} who likes {animal}(s) and lives in a {domicile}",
"show_prompt": True,
"read_only_prompt": False
},
"phase8": {
"name": "Combining Rules",
"fields": {
"markdown": {
"type": "markdown",
"body": """Most options can be combined. This is a phase that is skippable, scored, allows revisions, and shows an editable prompt. """,
"unsafe_allow_html": True
},
"haiku": {
"type": "text_area",
"height": 200,
"label": "Write a Haiku about The Industrial Revolution.",
"value": """Smoke stacks pierce the sky,
Iron and steam reshape life—
Machines hum, men sigh.""",
}
},
"allow_skip": True,
"ai_response": True,
"phase_instructions": "The user will write a Haiku about the industrial revolution. You should ensure it is a traditional Haiku and it is about the topic of the industrial revolution.",
"user_prompt": "Here is my Haiku about the industrial revolution: \n\n {haiku}",
"scored_phase": True,
"rubric": """
1. Haiku:
2 points - The user has entered a true Haiku poem with traditional Haiku Structure.
1 point - The user has entered a poem of some sort.
0 points - The user has not entered a poem of any kind.
2. Topic
2 points - The user has mentioned the Industrial Revolution.
0 points - The user has NOT mentioned the Industrial Revolution.
""",
"minimum_score": 2,
"show_prompt": True,
"read_only_prompt": False,
"allow_revisions": True,
"max_revisions": 2,
}
}
def prompt_conditionals(prompt, user_input, phase_name=None):
#TO-DO: This is a hacky way to make prompts conditional that requires the user to know a lot of python and get the phase and field names exactly right. Future task to improve it.
return prompt
selected_llm = "gpt-4o-mini"
LLM_CONFIGURATIONS = {
"gpt-4o-mini": {
"model": "gpt-4o-mini",
"frequency_penalty": 0,
"max_tokens": 1000,
"presence_penalty": 0,
"temperature": 1,
"top_p": 1,
"price_input_token_1M":0.150,
"price_output_token_1M":.600
},
"gpt-4-turbo": {
"model": "gpt-4-turbo",
"frequency_penalty": 0,
"max_tokens": 1000,
"presence_penalty": 0,
"temperature": 1,
"top_p": 1,
"price_input_token_1M":10,
"price_output_token_1M":30
},
"gpt-4o": {
"model": "gpt-4o",
"frequency_penalty": 0,
"max_tokens": 250,
"presence_penalty": 0,
"temperature": 1,
"top_p": 1,
"price_input_token_1M":5,
"price_output_token_1M":15
},
"gemini-1.0-pro": {
"model": "gemini-1.0-pro",
"temperature": 1,
"top_p": 0.95,
"max_tokens": 1000,
"price_input_token_1M":.5,
"price_output_token_1M":1.5
},
"gemini-1.5-flash": {
"model": "gemini-1.5-flash",
"temperature": 1,
"top_p": 0.95,
"max_tokens": 1000,
"price_input_token_1M":.35,
"price_output_token_1M":1.05
},
"gemini-1.5-pro": {
"model": "gemini-1.5-pro",
"temperature": 1,
"top_p": 0.95,
"max_tokens": 1000,
"price_input_token_1M":3.5,
"price_output_token_1M":10.50
},
"claude-3.5-sonnet": {
"model": "claude-3-5-sonnet-20240620",
"max_tokens": 1000,
"temperature": 1,
"price_input_token_1M": 3,
"price_output_token_1M": 15
},
"claude-opus": {
"model": "claude-3-opus-20240229",
"max_tokens": 1000,
"temperature": 1,
"price_input_token_1M": 15,
"price_output_token_1M": 75
},
"claude-sonnet": {
"model": "claude-3-sonnet-20240229",
"max_tokens": 1000,
"temperature": 1,
"price_input_token_1M": 3,
"price_output_token_1M": 15
},
"claude-haiku": {
"model": "claude-3-haiku-20240307",
"max_tokens": 1000,
"temperature": 1,
"price_input_token_1M": 0.25,
"price_output_token_1M": 1.25
}
}
SCORING_DEBUG_MODE = True
DISPLAY_COST = True
COMPLETION_MESSAGE = "You've reached the end! I hope you learned something!"
COMPLETION_CELEBRATION = False