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| # 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. The recipe output should contain the following components: | |
| - recipe name | |
| - serving size | |
| - time to make | |
| - ingredients list | |
| - instructions | |
| 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: "Serving Size: 4 people") | |
| recipe_time (string): the amount of time required to make the recipe (example: "Time to Make: 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.text(loaded_recipe['recipe_serving_size']) | |
| st.text(loaded_recipe['recipe_time']) | |
| st.subheader("Ingredients:") | |
| st.write(loaded_recipe['recipe_ingredients']) | |
| st.subheader("Instructions:") | |
| st.write(loaded_recipe['recipe_instructions']) | |