File size: 3,227 Bytes
fbdcaaf
9ff2b7e
fd07ca2
 
 
 
 
 
 
fbdcaaf
 
 
 
 
fd07ca2
5182c3f
fbdcaaf
fd07ca2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fbdcaaf
 
 
 
 
fd07ca2
 
fbdcaaf
 
 
fd07ca2
 
fbdcaaf
 
b7ee1cf
fd07ca2
 
b7ee1cf
 
fd07ca2
 
 
 
 
fbdcaaf
fd07ca2
fbdcaaf
 
6a8e235
fd07ca2
5ff038b
fd07ca2
 
fbdcaaf
8bab72c
fbdcaaf
 
5ff038b
 
 
b2a32bf
 
5ff038b
b7ee1cf
 
 
 
5ff038b
b7ee1cf
 
 
 
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
# 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
user_direction = st.text_area(
    "Let's get cooking! What do you feel like making?",
    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 = st.radio(
    "Choose a difficulty level for your recipe.",
    ["Beginner", "Home Chef", "Professional"],
    captions = [
        "Easy recipes with straightforward instructions. Ideal for first-timers or those seeking quick and simple cooking.",
        "Recipes with some intricate steps that invite a little challenge. Perfect for regular cooks wanting to expand their repertoire with new ingredients and techniques.", 
        "Complex recipes that demand a high level of skill and precision. Suited for seasoned cooks aspiring to professional-level sophistication and creativity."
    ])

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": difficulty
}

    
def generate_recipe(user_inputs):
    context = """Provide me a recipe based on the user input.
    Output this in a valid JSON object with the following properties:
    recipe_name (string): the name of the recipe
    recipe_serving_size (string): the serving size of the recipe (example: "4 people")
    recipe_time (string): the amount of time required to make the recipe (example: "60 minutes (Preparation: 20 minutes, Baking: 40 minutes)")
    recipe_ingredients (string): python list of ingredients required to make the recipe
    recipe_instructions (string): python list of instructions to make the recipe
    """
    messages = [
        {"role": "system", "content": context},
        {"role": "user", "content": str(user_inputs)}
        ]
    
    st.session_state.gpt_response = openai.ChatCompletion.create(
        model="gpt-4",
        messages=messages,
        temperature=0.5
    )


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']['content'])
    st.header(loaded_recipe['recipe_name'])
    st.write(f"**Serving Size: {loaded_recipe['recipe_serving_size']}**")
    st.write(f"**Time To Make: {loaded_recipe['recipe_time']}**")
    st.subheader("Ingredients:")
    md_ingredients = ''
    for ingredient in loaded_recipe['recipe_ingredients']:
        md_ingredients += "- " + ingredient + "\n"
    st.markdown(md_ingredients)
    st.subheader("Instructions:")
    md_instructions = ''
    for instruction in loaded_recipe['recipe_instructions']:
        md_instructions += "- " + instruction + "\n"
    st.markdown(md_instructions)