app.py

import streamlit as st
import re
import json
import os
import pandas as pd
from huggingface_hub import login, InferenceClient
import pickle
from sklearn.metrics.pairwise import cosine_similarity

st.set_page_config(layout="wide")

login(token=os.getenv("TOKEN"))

with open('cv.pkl', 'rb') as file:
    cv = pickle.load(file)

with open('vectors.pkl', 'rb') as file:
    vectors = pickle.load(file)

with open('items_dict.pkl', 'rb') as file:
    items_dict = pd.DataFrame.from_dict(pickle.load(file))

data = pd.read_csv('marketing_sample_for_walmart_com-product_details__20200101_20200331__30k_data.csv')

# Initialize the inference client for the Mixtral model
client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")

if 'recipe' not in st.session_state:
    st.session_state.recipe = None

if 'recipe_saved' not in st.session_state:
    st.session_state.recipe_saved = None

if 'user_direction' not in st.session_state:
    st.session_state.user_direction = None

if 'serving_size' not in st.session_state:
    st.session_state.serving_size = 2

if 'selected_difficulty' not in st.session_state:
    st.session_state.selected_difficulty = "Quick & Easy"

if 'exclusions' not in st.session_state:
    st.session_state.exclusions = None

def get_recommendations(user_description, count_vectorizer, count_matrix):
    user_description = preprocess_text(user_description)
    user_vector = count_vectorizer.transform([user_description])
    cosine_similarities = cosine_similarity(user_vector, count_matrix).flatten()
    similar_indices = cosine_similarities.argsort()[::-1]
    return similar_indices

def create_detailed_prompt(user_direction, exclusions, serving_size, difficulty):
    if difficulty == "Quick & Easy":
        prompt = (
            f"Provide a 'Quick and Easy' recipe for {user_direction} that excludes {exclusions} and has a serving size of {serving_size}. "
            f"It should require as few ingredients as possible and should be ready in as little time as possible. "
            f"The steps should be simple, and the ingredients should be commonly found in a household pantry. "
            f"Provide a detailed ingredient list and step-by-step guide that explains the instructions to prepare in detail."
        )
    elif difficulty == "Intermediate":
        prompt = (
            f"Provide a classic recipe for {user_direction} that excludes {exclusions} and has a serving size of {serving_size}. "
            f"The recipe should offer a bit of a cooking challenge but should not require professional skills. "
            f"The recipe should feature traditional ingredients and techniques that are authentic to its cuisine. "
            f"Provide a detailed ingredient list and step-by-step guide that explains the instructions to prepare in detail."
        )
    elif difficulty == "Professional":
        prompt = (
            f"Provide an advanced recipe for {user_direction} that excludes {exclusions} and has a serving size of {serving_size}. "
            f"The recipe should push the boundaries of culinary arts, integrating unique ingredients, advanced cooking techniques, and innovative presentations. "
            f"The recipe should be able to be served at a high-end restaurant or would impress at a gourmet food competition. "
            f"Provide a detailed ingredient list and step-by-step guide that explains the instructions to prepare in detail."
        )
    return prompt


def generate_recipe(user_inputs):
    with st.spinner('Building the perfect recipe...'):
        prompt = create_detailed_prompt(user_inputs['user_direction'], user_inputs['exclusions'],
                                        user_inputs['serving_size'], user_inputs['difficulty'])

        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": "Quantity and 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"
                    ],
                },
            }
        ]

        generate_kwargs = dict(
            temperature=0.9,
            max_new_tokens=10000,
            top_p=0.9,
            repetition_penalty=1.0,
            do_sample=True,
        )

        prompt += f"\nPlease format the output in JSON. The JSON should include fields for 'name', 'description', 'ingredients', and 'instructions', with each field structured as described below.\n\n{json.dumps(functions)}"

        response = client.text_generation(prompt, **generate_kwargs)
        st.session_state.recipe = response
        st.session_state.recipe_saved = False


def clear_inputs():
    st.session_state.user_direction = None
    st.session_state.exclusions = None
    st.session_state.serving_size = 2
    st.session_state.selected_difficulty = "Quick & Easy"


st.title("Let's get cooking")
col1,col2=st.columns(2)
with col1:
    st.session_state.user_direction = st.text_area(
        "What do you want to cook? Describe anything - a dish, cuisine, event, or vibe.",
        value=st.session_state.user_direction,
        placeholder="quick snack, asian style bowl with either noodles or rice, something italian",
    )
with col2:
    st.session_state.serving_size = st.number_input(
        "How many servings would you like to cook?",
        min_value=1,
        max_value=100,
        value=st.session_state.serving_size,
        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.",
    }
}

st.session_state.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"]
    ],
    index=list(difficulty_dictionary).index(st.session_state.selected_difficulty)
)

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

fancy_exclusions = ""

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

user_inputs = {
    "user_direction": st.session_state.user_direction,
    "exclusions": f"{st.session_state.exclusions}, {fancy_exclusions}".strip(", "),
    "serving_size": st.session_state.serving_size,
    "difficulty": st.session_state.selected_difficulty
}

button_cols_submit = st.columns([1, 1, 4])
with button_cols_submit[0]:
    st.button(label='Submit', on_click=generate_recipe, kwargs=dict(user_inputs=user_inputs), type="primary",
              use_container_width=True)
with button_cols_submit[1]:
    st.button(label='Reset', on_click=clear_inputs, type="secondary", use_container_width=True)
with button_cols_submit[2]:
    st.empty()

if st.session_state.recipe is not None:
    st.divider()
    try:
        print(st.session_state.recipe)
        recipe = json.loads(st.session_state.recipe)
        name_and_dis = f'# {recipe["name"]}\n\n'
        name_and_dis += f'{recipe["description"]}\n\n'
        ingredients = '## Ingredients:\n'
        # for ingredient in recipe["ingredients"]:
        #     ingredients += f"- {ingredient['name']}\n"
        instructions = '\n## Instructions:\n'
        for instruction in recipe["instructions"]:
            instructions += f"{instruction['step_number']}. {instruction['instruction']}\n"

        st.write(name_and_dis)
        col01, col02 = st.columns(2)
        with col01:
            cont = st.container(border=True, height=500)
            for i in recipe["ingredients"]:
                cont.selectbox(i['name'],options=items_dict.iloc[get_recommendations(i['name'],cv,vectors)]["Product Name"].values)
        with col02:
            cont = st.container(border=True, height=500)
            cont.write(instructions)
    except (json.JSONDecodeError, KeyError) as e:
        st.error(f"Failed to parse recipe: {e}")