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OmPrakashSingh1704
commited on
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•
3307cd1
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Parent(s):
e61e024
Update app.py
Browse files
app.py
CHANGED
@@ -1,25 +1,30 @@
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import streamlit as st
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import
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import pandas as pd
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from huggingface_hub import login, InferenceClient
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import pickle
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st.set_page_config(layout="wide")
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login(token=os.getenv("TOKEN"))
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with open('l.pkl', 'rb') as file:
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similarity = pickle.load(file)
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with open('items_dict.pkl', 'rb') as file:
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items_dict = pickle.load(file)
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# Initialize the inference client for the Mixtral model
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client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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if 'recipe' not in st.session_state:
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st.session_state.recipe = None
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@@ -27,7 +32,7 @@ if 'recipe_saved' not in st.session_state:
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st.session_state.recipe_saved = None
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if 'user_direction' not in st.session_state:
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st.session_state.user_direction =
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if 'serving_size' not in st.session_state:
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st.session_state.serving_size = 2
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@@ -36,7 +41,7 @@ if 'selected_difficulty' not in st.session_state:
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st.session_state.selected_difficulty = "Quick & Easy"
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if 'exclusions' not in st.session_state:
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st.session_state.exclusions =
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def create_detailed_prompt(user_direction, exclusions, serving_size, difficulty):
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@@ -69,60 +74,6 @@ def generate_recipe(user_inputs):
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prompt = create_detailed_prompt(user_inputs['user_direction'], user_inputs['exclusions'],
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user_inputs['serving_size'], user_inputs['difficulty'])
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functions = [
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{
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"name": "provide_recipe",
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"description": "Provides a detailed recipe strictly adhering to the user input/specifications, especially ingredient exclusions and the recipe difficulty",
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"parameters": {
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"type": "object",
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"properties": {
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"name": {
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"type": "string",
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"description": "A creative name for the recipe"
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},
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"description": {
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"type": "string",
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"description": "a brief one-sentence description of the provided recipe"
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},
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"ingredients": {
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"type": "array",
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"items": {
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"type": "object",
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"properties": {
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"name": {
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"type": "string",
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"description": "Quantity and name of the ingredient"
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}
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}
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}
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},
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"instructions": {
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"type": "array",
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"items": {
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"type": "object",
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"properties": {
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"step_number": {
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"type": "number",
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"description": "The sequence number of this step"
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},
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"instruction": {
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"type": "string",
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"description": "Detailed description of what to do in this step"
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}
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}
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}
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}
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},
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"required": [
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"name",
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"description",
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"ingredients",
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"instructions"
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],
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},
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}
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]
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generate_kwargs = dict(
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temperature=0.9,
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max_new_tokens=10000,
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do_sample=True,
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)
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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{functions}"
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response = client.text_generation(prompt, **generate_kwargs)
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st.session_state.recipe_saved = False
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def clear_inputs():
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st.session_state.user_direction =
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st.session_state.exclusions =
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st.session_state.serving_size = 2
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st.session_state.selected_difficulty = "Quick & Easy"
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@@ -149,7 +101,7 @@ st.title("Let's get cooking")
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st.session_state.user_direction = st.text_area(
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"What do you want to cook? Describe anything - a dish, cuisine, event, or vibe.",
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value=st.session_state.user_direction,
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placeholder="quick snack,
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)
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st.session_state.serving_size = st.number_input(
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st.session_state.selected_difficulty = st.radio(
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"Choose a difficulty level for your recipe.",
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list(difficulty_dictionary.keys())[0],
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list(difficulty_dictionary.keys())[1],
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list(difficulty_dictionary.keys())[2]
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],
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captions=[
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difficulty_dictionary["Quick & Easy"]["description"],
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difficulty_dictionary["Intermediate"]["description"],
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difficulty_dictionary["Professional"]["description"]
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],
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index=list(difficulty_dictionary).index(st.session_state.selected_difficulty)
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)
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st.session_state.exclusions = st.text_area(
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"Any ingredients you want to exclude?",
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value=st.session_state.exclusions,
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)
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fancy_exclusions = ""
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if st.session_state.selected_difficulty == "Professional":
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exclude_fancy = st.checkbox(
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"Exclude cliche professional ingredients? (gold leaf, truffle, edible flowers, microgreens)",
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value=True)
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user_inputs = {
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"user_direction": st.session_state.user_direction,
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"serving_size": st.session_state.serving_size,
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"difficulty": st.session_state.selected_difficulty
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}
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button_cols_submit = st.columns([1, 1, 4])
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with button_cols_submit[0]:
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st.button(label='Submit', on_click=generate_recipe, kwargs=dict(user_inputs=user_inputs), type="primary",
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with button_cols_submit[2]:
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st.empty()
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if st.session_state.recipe
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st.divider()
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print(st.session_state.recipe
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recipe =
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name_and_dis = f'# {recipe["name"]}\n\n'
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name_and_dis += f'{recipe["description"]}\n\n'
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ingredients = '## Ingredients:\n'
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st.write(name_and_dis)
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col01, col02 = st.columns(2)
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with col01:
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cont.write(ingredients)
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with col02:
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cont.write(instructions)
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st.write("")
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import streamlit as st
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import os
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import pandas as pd
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from huggingface_hub import login, InferenceClient
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import pickle
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import json
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st.set_page_config(layout="wide")
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# Authenticate with Hugging Face
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login(token=os.getenv("TOKEN"))
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# Load similarity data
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with open('l.pkl', 'rb') as file:
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similarity = pickle.load(file)
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# Load items dictionary
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with open('items_dict.pkl', 'rb') as file:
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items_dict = pickle.load(file)
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# Load dataset
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data = pd.read_csv('marketing_sample_for_walmart_com-product_details__20200101_20200331__30k_data.csv')
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# Initialize the inference client for the Mixtral model
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client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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# Initialize session state variables
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if 'recipe' not in st.session_state:
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st.session_state.recipe = None
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st.session_state.recipe_saved = None
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if 'user_direction' not in st.session_state:
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st.session_state.user_direction = ""
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if 'serving_size' not in st.session_state:
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st.session_state.serving_size = 2
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st.session_state.selected_difficulty = "Quick & Easy"
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if 'exclusions' not in st.session_state:
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st.session_state.exclusions = ""
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def create_detailed_prompt(user_direction, exclusions, serving_size, difficulty):
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prompt = create_detailed_prompt(user_inputs['user_direction'], user_inputs['exclusions'],
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user_inputs['serving_size'], user_inputs['difficulty'])
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generate_kwargs = dict(
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temperature=0.9,
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max_new_tokens=10000,
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do_sample=True,
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)
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response = client.text_generation(prompt, **generate_kwargs)
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try:
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st.session_state.recipe = json.loads(response)
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except json.JSONDecodeError:
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st.session_state.recipe = None
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st.session_state.recipe_saved = False
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def clear_inputs():
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st.session_state.user_direction = ""
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st.session_state.exclusions = ""
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st.session_state.serving_size = 2
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st.session_state.selected_difficulty = "Quick & Easy"
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st.session_state.user_direction = st.text_area(
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"What do you want to cook? Describe anything - a dish, cuisine, event, or vibe.",
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value=st.session_state.user_direction,
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placeholder="quick snack, Asian style bowl with either noodles or rice, something Italian",
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)
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st.session_state.serving_size = st.number_input(
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st.session_state.selected_difficulty = st.radio(
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"Choose a difficulty level for your recipe.",
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options=list(difficulty_dictionary.keys()),
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index=list(difficulty_dictionary).index(st.session_state.selected_difficulty)
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)
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for level, details in difficulty_dictionary.items():
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if level == st.session_state.selected_difficulty:
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st.caption(details["description"])
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st.session_state.exclusions = st.text_area(
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"Any ingredients you want to exclude?",
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value=st.session_state.exclusions,
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)
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fancy_exclusions = ""
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if st.session_state.selected_difficulty == "Professional":
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exclude_fancy = st.checkbox(
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"Exclude cliche professional ingredients? (gold leaf, truffle, edible flowers, microgreens)",
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value=True)
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if exclude_fancy:
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fancy_exclusions = "gold leaf, truffle, edible flowers, microgreens, gold dust"
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user_inputs = {
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"user_direction": st.session_state.user_direction,
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"serving_size": st.session_state.serving_size,
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"difficulty": st.session_state.selected_difficulty
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}
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button_cols_submit = st.columns([1, 1, 4])
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with button_cols_submit[0]:
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st.button(label='Submit', on_click=generate_recipe, kwargs=dict(user_inputs=user_inputs), type="primary",
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with button_cols_submit[2]:
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st.empty()
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if st.session_state.recipe:
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st.divider()
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print(st.session_state.recipe)
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recipe = st.session_state.recipe
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name_and_dis = f'# {recipe["name"]}\n\n'
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name_and_dis += f'{recipe["description"]}\n\n'
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ingredients = '## Ingredients:\n'
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st.write(name_and_dis)
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col01, col02 = st.columns(2)
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with col01:
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st.write(ingredients)
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with col02:
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st.write(instructions)
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