app.py

# imports
import streamlit as st
import numpy as np
import pandas as pd
import re
import json
import openai
openai.api_key = st.secrets["open_ai_key"]

# state management
if 'gpt_response' not in st.session_state:
    st.session_state.gpt_response = None

# app
st.title("Let's get cooking")
user_direction = st.text_area(
    "What do you want to cook? Describe anything - a dish, cuisine, event, or vibe.",
    placeholder="quick snack, asian style bowl with either noodles or rice, something italian",
    )

serving_size = st.number_input(
    "How many people are you cooking for?",
    min_value=1,
    max_value=100,
    value=2,
    step=1
)

difficulty_dictionary = {
    "Quick & Easy": {
        "description": "Easy recipes with straightforward instructions. Ideal for beginners or those seeking quick and simple cooking.",
    },
    "Intermediate": {
        "description": "Recipes with some intricate steps that invite a little challenge. Perfect for regular cooks wanting to expand their repertoire with new ingredients and techniques.",
    },
    "Professional": {
        "description": "Complex recipes that demand a high level of skill and precision. Suited for seasoned cooks aspiring to professional-level sophistication and creativity.",
    }
}

selected_difficulty = st.radio(
    "Choose a difficulty level for your recipe.",
    [
        list(difficulty_dictionary.keys())[0], 
        list(difficulty_dictionary.keys())[1], 
        list(difficulty_dictionary.keys())[2]
    ],
    captions = [
        difficulty_dictionary["Quick & Easy"]["description"], 
        difficulty_dictionary["Intermediate"]["description"],
        difficulty_dictionary["Professional"]["description"]
    ]
)

exclusions = st.text_area(
    "Any ingredients you want to exclude?",
    placeholder="gluten, dairy, nuts, cilantro",
    )

fancy_exclusions =""

if selected_difficulty == "Professional":
    exclude_fancy = st.checkbox(
        "Exclude cliche professional ingredients? (gold leaf, truffle, edible flowers, microgreens)", 
        value=True)
    fancy_exclusions = "gold leaf, truffle, edible flowers, microgreens"
      

user_inputs = {
    "user_direction" : user_direction,
    "exclusions": f"{exclusions}, {fancy_exclusions}",
    "serving_size": serving_size,
    "difficulty": selected_difficulty
}

def create_detailed_prompt(user_direction, exclusions, serving_size, difficulty):
    if difficulty == "Quick & Easy":
        prompt = (
            f"Please provide a 'Quick and Easy' recipe for {user_direction} with a serving size of {serving_size}. "
            f"It should require as few ingredients as possible and should be ready as little time as possible. "
            f"The steps should be simple, and the ingredients should be commonly found in a household pantry. "
            f"Ensure to exclude {exclusions} from the recipe."
        )
    elif difficulty == "Intermediate":
        prompt = (
            f"I'm looking for a recipe for a classic {user_direction} with a serving size of {serving_size} that offers a bit of a cooking challenge " 
            f"but doesn't require professional skills.The recipe should feature traditional ingredients and techniques that are authentic to its cuisine. "
            f"Please provide a step-by-step guide that explains the process in detail. "
            f"Ensure to exclude {exclusions} from the recipe."
        )
    elif difficulty == "Professional":
        prompt = (
            f"Create an advanced recipe for {user_direction} with a serving size of {serving_size} that pushes the boundaries of culinary arts." 
            f"This recipe should integrate unique ingredients, advanced cooking techniques, and innovative presentations."
            f"I'm aiming for a dish that could be served at a high-end restaurant or would impress at a gourmet food competition."
            f"Please detail the preparation and cooking process, considering that complexity and creativity are more important than prep and cooking time. "
            f"Ensure to exclude {exclusions} from the recipe."
        )
    return prompt
    
def generate_recipe(user_inputs):
    with st.spinner('Building the perfect recipe for you...'):
        functions = [
          {
            "name": "provide_recipe",
            "description": "Provides a detailed recipe strictly adhering to the user input/specifications, especially ingredient exclusions and the recipe difficulty",
            "parameters": {
                "type": "object",
                "properties": {
                    "name": {
                        "type": "string",
                        "description": "A creative name for the recipe"
                    },
                    "description": {
                        "type": "string",
                        "description": "a brief one-sentence description of the provided recipe"
                    },
                    "ingredients": {
                        "type": "array",
                        "items": {
                            "type": "object",
                            "properties": {
                                "name": {
                                    "type": "string",
                                    "description": "Name of the ingredient"
                                }
                            }
                        }
                    },
                    "instructions": {
                        "type": "array",
                        "items": {
                            "type": "object",
                            "properties": {
                                "step_number": {
                                    "type": "number",
                                    "description": "The sequence number of this step"
                                },
                                "instruction": {
                                    "type": "string",
                                    "description": "Detailed description of what to do in this step"
                                }
                            }
                        }
                    }
                },
                "required": [
                    "name",
                    "description",
                    "ingredients",
                    "instructions"
                    ],
            },
          }
        ]
        prompt = create_detailed_prompt(user_inputs['user_direction'], user_inputs['exclusions'], user_inputs['serving_size'], user_inputs['difficulty'])
        messages = [{"role": "user", "content": prompt}]
        st.session_state.gpt_response = openai.ChatCompletion.create(
          model="gpt-4",
          messages=messages,
          temperature=0.75,
          top_p=0.75,
          functions=functions,
          function_call={"name":"provide_recipe"},  # auto is default, but we'll be explicit
        )


st.button(label='Submit', on_click=generate_recipe, kwargs=dict(user_inputs=user_inputs))

if st.session_state.gpt_response is not None:
    st.divider()
    loaded_recipe = json.loads(st.session_state.gpt_response['choices'][0]['message']["function_call"]["arguments"])
    st.header(loaded_recipe['name'])
    # st.write(f"**Serving Size: {loaded_recipe['recipe_serving_size']}**")
    st.write(f"**Description:** {loaded_recipe['description']}")
    st.subheader("Ingredients:")
    try:
        md_ingredients = ''
        for ingredient in loaded_recipe['ingredients']:
            md_ingredients += f"- {ingredient['name']} \n"
        st.markdown(md_ingredients)
    except:
        st.write(loaded_recipe['ingredients'])
    st.subheader("Instructions:")
    try:
        md_instructions = ''
        for instruction in loaded_recipe['instructions']:
            md_instructions += f"{instruction['step_number']}. {instruction['instruction']} \n"
        st.markdown(md_instructions)
    except:
        st.write(loaded_recipe['instructions'])