File size: 6,846 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
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8fec388
bf46dde
31b33e7
 
 
 
 
8fec388
fd07ca2
fbdcaaf
8bab72c
fbdcaaf
 
5ff038b
31b33e7
 
 
ad24c4b
5ff038b
31b33e7
 
 
 
 
 
d4a01d9
5ff038b
31b33e7
 
df0388b
31b33e7
 
 
d4a01d9
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
# 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": "string",
                        "description": "clear list of ingredients in the provided recipe, delimited by a semi colon"
                    },
                    "instructions": {
                        "type": "string",
                        "description": "list of step-by-step instructions to prepare the provided recipe, delimited by a semi colon"
                    }
                },
                "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'].split('; '):
            md_ingredients += "- " + ingredient + "\n"
        st.markdown(md_ingredients)
    except:
        st.text(loaded_recipe['ingredients'])
    st.subheader("Instructions:")
    try:
        md_instructions = ''
        for instruction in loaded_recipe['instructions'].split('; '):
            md_instructions += "- " + instruction + "\n"
        st.markdown(md_instructions)
    except:
        st.text(loaded_recipe['instructions'])