Spaces:
Running
Running
File size: 7,645 Bytes
fbdcaaf 9ff2b7e fd07ca2 fbdcaaf 7050ec2 fd07ca2 7050ec2 fbdcaaf fd07ca2 763e0c3 7d13eb4 763e0c3 7d13eb4 763e0c3 fd07ca2 763e0c3 4105ba7 763e0c3 fd07ca2 763e0c3 fd07ca2 fbdcaaf fd07ca2 fbdcaaf 31b33e7 fd07ca2 31b33e7 fbdcaaf 8fec388 31b33e7 8f7f61a 31b33e7 7ca3025 31b33e7 7ca3025 31b33e7 8fec388 bf46dde 31b33e7 8fec388 fd07ca2 fbdcaaf 8bab72c fbdcaaf 5ff038b 31b33e7 ad24c4b 5ff038b 31b33e7 7ca3025 296eb14 31b33e7 d0c372a 5ff038b 7ca3025 8f7f61a 7ca3025 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 |
# 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",
)
user_inputs = {
"user_direction" : user_direction,
"exclusions": exclusions,
"serving_size": serving_size,
"difficulty": selected_difficulty
}
def create_detailed_prompt(user_direction, exclusions, serving_size, difficulty):
if difficulty == "Quick and 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']) |