Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -26,13 +26,9 @@ with open('vectors.pkl', 'rb') as file:
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with open('items_dict.pkl', 'rb') as file:
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items_dict = pd.DataFrame.from_dict(pickle.load(file))
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mode = st.toggle(label="MART")
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# Utility functions
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def preprocess_text(text):
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text = re.sub(r'[^a-zA-Z\s]', '', text)
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text = re.sub(r'\s+', ' ', text).strip()
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return text.lower()
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def get_recommendations(user_description, count_vectorizer, count_matrix):
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user_description = preprocess_text(user_description)
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@@ -41,88 +37,13 @@ def get_recommendations(user_description, count_vectorizer, count_matrix):
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similar_indices = cosine_similarities.argsort()[::-1]
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return similar_indices
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def create_detailed_prompt(user_direction, exclusions, serving_size, difficulty):
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prompt_template = {
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"Quick & Easy": (
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"Provide a 'Quick and Easy' recipe for {user_direction} that excludes {exclusions} and has a serving size of {serving_size}. "
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"It should require as few ingredients as possible and should be ready in as little time as possible. "
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"The steps should be simple, and the ingredients should be commonly found in a household pantry. "
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"Provide a detailed ingredient list and step-by-step guide that explains the instructions to prepare in detail."
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),
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"Intermediate": (
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"Provide a classic recipe for {user_direction} that excludes {exclusions} and has a serving size of {serving_size}. "
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"The recipe should offer a bit of a cooking challenge but should not require professional skills. "
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"The recipe should feature traditional ingredients and techniques that are authentic to its cuisine. "
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"Provide a detailed ingredient list and step-by-step guide that explains the instructions to prepare in detail."
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),
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"Professional": (
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"Provide an advanced recipe for {user_direction} that excludes {exclusions} and has a serving size of {serving_size}. "
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"The recipe should push the boundaries of culinary arts, integrating unique ingredients, advanced cooking techniques, and innovative presentations. "
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"The recipe should be able to be served at a high-end restaurant or would impress at a gourmet food competition. "
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"Provide a detailed ingredient list and step-by-step guide that explains the instructions to prepare in detail."
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)
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}
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return prompt_template[difficulty].format(
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user_direction=user_direction,
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exclusions=exclusions,
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serving_size=serving_size
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)
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def generate_recipe(user_inputs):
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with st.spinner('Building the perfect recipe...'):
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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": {"type": "string", "description": "A creative name for the recipe"},
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"description": {"type": "string", "description": "a brief one-sentence description of the provided recipe"},
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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": {"name": {"type": "string", "description": "Quantity and name of the ingredient"}}
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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": {"type": "number", "description": "The sequence number of this step"},
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"instruction": {"type": "string", "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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"required": ["name", "description", "ingredients", "instructions"]
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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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top_p=0.9,
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repetition_penalty=1.0,
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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{json.dumps(functions)}"
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response = client.text_generation(prompt, **generate_kwargs)
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st.session_state.recipe = response
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st.session_state.recipe_saved = False
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def show_recipe(recipe):
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with st.spinner("HANG TIGHT, RECIPE INCOMING..."):
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name_and_dis = f'# {recipe["name"]}\n\n
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ingredients = '## Ingredients:\n'
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instructions = '## Instructions:\n'
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for instruction in recipe["instructions"]:
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instructions += f"{instruction['step_number']}. {instruction['instruction']}\n"
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cont.write(ingredients)
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for j, i in enumerate(recipe["ingredients"]):
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cont.selectbox(i['name'],
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options=items_dict.iloc[get_recommendations(i['name'], cv, vectors)][
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with col02:
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cont = st.container(border=True, height=500)
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cont.write(instructions)
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def clear_inputs():
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st.session_state.user_direction = None
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st.session_state.exclusions = None
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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.recipe = None
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def create_safe_filename(recipe_name):
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safe_name = recipe_name.lower().replace(" ", "_")
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safe_name = re.sub(r"[^a-zA-Z0-9_]", "", safe_name)
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safe_name = safe_name[:50] if len(safe_name) > 50 else safe_name
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unique_token = secrets.token_hex(8)
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return f"{unique_token}_{safe_name}"
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def save_recipe():
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with st.spinner('WAIT SAVING YOUR DISH...'):
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filename = create_safe_filename(recipe["name"])
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os.makedirs('data', exist_ok=True)
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with open(f'./data/{filename}.pkl', 'wb') as f:
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pickle.dump(recipe, f)
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st.session_state.recipe_saved = True
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def load_saved_recipes_from_pickle(directory_path):
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os.makedirs('data', exist_ok=True)
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recipes = []
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for filename in os.listdir(directory_path):
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if filename.endswith('.pkl'):
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with open(os.path.join(directory_path, filename), 'rb') as file:
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recipe = pickle.load(file)
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recipes.append(recipe)
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return recipes
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# Main UI logic
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if not mode:
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if 'current_tab' not in st.session_state:
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st.session_state.current_tab = 'COOK'
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cook, saved = st.tabs(['COOK', 'SAVED'])
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if saved:
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st.session_state.current_tab = 'SAVED'
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client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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if 'selected_difficulty' not in st.session_state:
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st.session_state.selected_difficulty = "Quick & Easy"
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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()),
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index=list(difficulty_dictionary.keys()).index(st.session_state.selected_difficulty),
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format_func=lambda x: f"{x}: {difficulty_dictionary[x]['description']}"
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)
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"user_direction": st.session_state.user_direction,
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"exclusions": f"{st.session_state.exclusions}, {fancy_exclusions}".strip(", "),
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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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st.button(label='Reset', on_click=clear_inputs, type="secondary", use_container_width=True)
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with button_cols_submit[2]:
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st.empty()
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st.divider()
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if
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show_recipe(
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button_cols_save = st.columns([1, 1, 4])
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with button_cols_save[0]:
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st.button("Save Recipe", on_click=save_recipe, disabled=disable_button, type="primary")
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with button_cols_save[1]:
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st.empty()
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with button_cols_save[2]:
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st.empty()
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if st.session_state.recipe_saved:
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st.success("Recipe Saved!")
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elif st.session_state.current_tab == 'SAVED':
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with saved:
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st.title("Saved Recipes")
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with st.spinner('LOADING YOUR RECIPE...'):
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directory_path = 'data'
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recipes = load_saved_recipes_from_pickle(directory_path)
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cols = st.columns([4, 1])
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with cols[1]:
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user_sort = st.selectbox("Sort", ('Recent', 'Oldest', 'A-Z', 'Z-A', 'Random'))
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if user_sort == 'Recent':
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recipes.sort(key=lambda x: x['timestamp'], reverse=True)
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elif user_sort == 'Oldest':
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recipes.sort(key=lambda x: x['timestamp'])
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elif user_sort == 'A-Z':
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recipes.sort(key=lambda x: x['name'])
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elif user_sort == 'Z-A':
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recipes.sort(key=lambda x: x['name'], reverse=True)
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elif user_sort == 'Random':
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random.shuffle(recipes)
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with cols[0]:
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user_search = st.selectbox("Search Recipes", [""] + [recipe['name'] for recipe in recipes])
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st.write("") # just some space
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if user_search:
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st.divider()
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filtered_recipes = [recipe for recipe in recipes if recipe['name'] == user_search]
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if filtered_recipes:
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show_recipe(filtered_recipes[0])
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else:
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st.write("No recipe found.")
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with open('items_dict.pkl', 'rb') as file:
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items_dict = pd.DataFrame.from_dict(pickle.load(file))
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mode = st.toggle(label="MART")
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def get_recommendations(user_description, count_vectorizer, count_matrix):
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user_description = preprocess_text(user_description)
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similar_indices = cosine_similarities.argsort()[::-1]
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return similar_indices
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def show_recipe(recipe):
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with st.spinner("HANG TIGHT, RECIPE INCOMING..."):
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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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instructions = '\n## Instructions:\n'
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for instruction in recipe["instructions"]:
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instructions += f"{instruction['step_number']}. {instruction['instruction']}\n"
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cont.write(ingredients)
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for j, i in enumerate(recipe["ingredients"]):
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cont.selectbox(i['name'],
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options=items_dict.iloc[get_recommendations(i['name'], cv, vectors)][
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"PRODUCT_NAME"].values,
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key=f"selectbox_{j}_{i['name']}{random.random() * 100}")
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with col02:
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cont = st.container(border=True, height=500)
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cont.write(instructions)
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|
|
|
|
|
|
|
|
|
64 |
|
65 |
+
# Initialize the inference client for the Mixtral model
|
66 |
+
|
67 |
+
if not mode:
|
68 |
cook, saved = st.tabs(['COOK', 'SAVED'])
|
69 |
+
with cook:
|
70 |
+
client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
|
71 |
|
72 |
+
if 'recipe' not in st.session_state:
|
73 |
+
st.session_state.recipe = None
|
|
|
|
|
74 |
|
75 |
+
if 'recipe_saved' not in st.session_state:
|
76 |
+
st.session_state.recipe_saved = None
|
|
|
77 |
|
78 |
+
if 'user_direction' not in st.session_state:
|
79 |
+
st.session_state.user_direction = None
|
80 |
|
81 |
+
if 'serving_size' not in st.session_state:
|
82 |
+
st.session_state.serving_size = 2
|
83 |
|
84 |
+
if 'selected_difficulty' not in st.session_state:
|
85 |
+
st.session_state.selected_difficulty = "Quick & Easy"
|
86 |
|
87 |
+
if 'exclusions' not in st.session_state:
|
88 |
+
st.session_state.exclusions = None
|
89 |
|
|
|
|
|
90 |
|
91 |
+
def preprocess_text(text):
|
92 |
+
# Remove non-alphabet characters and extra spaces
|
93 |
+
text = re.sub(r'[^a-zA-Z\s]', '', text)
|
94 |
+
text = re.sub(r'\s+', ' ', text).strip()
|
95 |
+
return text.lower()
|
96 |
|
97 |
+
|
98 |
+
def create_detailed_prompt(user_direction, exclusions, serving_size, difficulty):
|
99 |
+
if difficulty == "Quick & Easy":
|
100 |
+
prompt = (
|
101 |
+
f"Provide a 'Quick and Easy' recipe for {user_direction} that excludes {exclusions} and has a serving size of {serving_size}. "
|
102 |
+
f"It should require as few ingredients as possible and should be ready in as little time as possible. "
|
103 |
+
f"The steps should be simple, and the ingredients should be commonly found in a household pantry. "
|
104 |
+
f"Provide a detailed ingredient list and step-by-step guide that explains the instructions to prepare in detail."
|
105 |
+
)
|
106 |
+
elif difficulty == "Intermediate":
|
107 |
+
prompt = (
|
108 |
+
f"Provide a classic recipe for {user_direction} that excludes {exclusions} and has a serving size of {serving_size}. "
|
109 |
+
f"The recipe should offer a bit of a cooking challenge but should not require professional skills. "
|
110 |
+
f"The recipe should feature traditional ingredients and techniques that are authentic to its cuisine. "
|
111 |
+
f"Provide a detailed ingredient list and step-by-step guide that explains the instructions to prepare in detail."
|
112 |
)
|
113 |
+
elif difficulty == "Professional":
|
114 |
+
prompt = (
|
115 |
+
f"Provide an advanced recipe for {user_direction} that excludes {exclusions} and has a serving size of {serving_size}. "
|
116 |
+
f"The recipe should push the boundaries of culinary arts, integrating unique ingredients, advanced cooking techniques, and innovative presentations. "
|
117 |
+
f"The recipe should be able to be served at a high-end restaurant or would impress at a gourmet food competition. "
|
118 |
+
f"Provide a detailed ingredient list and step-by-step guide that explains the instructions to prepare in detail."
|
119 |
+
)
|
120 |
+
return prompt
|
121 |
+
|
122 |
+
|
123 |
+
def generate_recipe(user_inputs):
|
124 |
+
with st.spinner('Building the perfect recipe...'):
|
125 |
+
prompt = create_detailed_prompt(user_inputs['user_direction'], user_inputs['exclusions'],
|
126 |
+
user_inputs['serving_size'], user_inputs['difficulty'])
|
127 |
+
|
128 |
+
functions = [
|
129 |
+
{
|
130 |
+
"name": "provide_recipe",
|
131 |
+
"description": "Provides a detailed recipe strictly adhering to the user input/specifications, especially ingredient exclusions and the recipe difficulty",
|
132 |
+
"parameters": {
|
133 |
+
"type": "object",
|
134 |
+
"properties": {
|
135 |
+
"name": {
|
136 |
+
"type": "string",
|
137 |
+
"description": "A creative name for the recipe"
|
138 |
+
},
|
139 |
+
"description": {
|
140 |
+
"type": "string",
|
141 |
+
"description": "a brief one-sentence description of the provided recipe"
|
142 |
+
},
|
143 |
+
"ingredients": {
|
144 |
+
"type": "array",
|
145 |
+
"items": {
|
146 |
+
"type": "object",
|
147 |
+
"properties": {
|
148 |
+
"name": {
|
149 |
+
"type": "string",
|
150 |
+
"description": "Quantity and name of the ingredient"
|
151 |
+
}
|
152 |
+
}
|
153 |
+
}
|
154 |
+
},
|
155 |
+
"instructions": {
|
156 |
+
"type": "array",
|
157 |
+
"items": {
|
158 |
+
"type": "object",
|
159 |
+
"properties": {
|
160 |
+
"step_number": {
|
161 |
+
"type": "number",
|
162 |
+
"description": "The sequence number of this step"
|
163 |
+
},
|
164 |
+
"instruction": {
|
165 |
+
"type": "string",
|
166 |
+
"description": "Detailed description of what to do in this step"
|
167 |
+
}
|
168 |
+
}
|
169 |
+
}
|
170 |
+
}
|
171 |
+
},
|
172 |
+
"required": [
|
173 |
+
"name",
|
174 |
+
"description",
|
175 |
+
"ingredients",
|
176 |
+
"instructions"
|
177 |
+
],
|
178 |
+
},
|
179 |
+
}
|
180 |
+
]
|
181 |
+
|
182 |
+
generate_kwargs = dict(
|
183 |
+
temperature=0.9,
|
184 |
+
max_new_tokens=10000,
|
185 |
+
top_p=0.9,
|
186 |
+
repetition_penalty=1.0,
|
187 |
+
do_sample=True,
|
188 |
)
|
189 |
|
190 |
+
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)}"
|
191 |
+
|
192 |
+
response = client.text_generation(prompt, **generate_kwargs)
|
193 |
+
st.session_state.recipe = response
|
194 |
+
st.session_state.recipe_saved = False
|
195 |
+
|
196 |
+
|
197 |
+
def clear_inputs():
|
198 |
+
st.session_state.user_direction = None
|
199 |
+
st.session_state.exclusions = None
|
200 |
+
st.session_state.serving_size = 2
|
201 |
+
st.session_state.selected_difficulty = "Quick & Easy"
|
202 |
+
st.session_state.recipe = None
|
203 |
|
|
|
|
|
|
|
|
|
|
|
|
|
204 |
|
205 |
+
st.title("Let's get cooking")
|
206 |
+
col1, col2 = st.columns(2)
|
207 |
+
with col1:
|
208 |
+
st.session_state.user_direction = st.text_area(
|
209 |
+
"What do you want to cook? Describe anything - a dish, cuisine, event, or vibe.",
|
210 |
+
value=st.session_state.user_direction,
|
211 |
+
placeholder="quick snack, asian style bowl with either noodles or rice, something italian",
|
212 |
+
)
|
213 |
+
with col2:
|
214 |
+
st.session_state.serving_size = st.number_input(
|
215 |
+
"How many servings would you like to cook?",
|
216 |
+
min_value=1,
|
217 |
+
max_value=100,
|
218 |
+
value=st.session_state.serving_size,
|
219 |
+
step=1
|
220 |
)
|
221 |
|
222 |
+
difficulty_dictionary = {
|
223 |
+
"Quick & Easy": {
|
224 |
+
"description": "Easy recipes with straightforward instructions. Ideal for beginners or those seeking quick and simple cooking.",
|
225 |
+
},
|
226 |
+
"Intermediate": {
|
227 |
+
"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.",
|
228 |
+
},
|
229 |
+
"Professional": {
|
230 |
+
"description": "Complex recipes that demand a high level of skill and precision. Suited for seasoned cooks aspiring to professional-level sophistication and creativity.",
|
|
|
|
|
|
|
|
|
231 |
}
|
232 |
+
}
|
233 |
+
|
234 |
+
st.session_state.selected_difficulty = st.radio(
|
235 |
+
"Choose a difficulty level for your recipe.",
|
236 |
+
[
|
237 |
+
list(difficulty_dictionary.keys())[0],
|
238 |
+
list(difficulty_dictionary.keys())[1],
|
239 |
+
list(difficulty_dictionary.keys())[2]
|
240 |
+
],
|
241 |
+
captions=[
|
242 |
+
difficulty_dictionary["Quick & Easy"]["description"],
|
243 |
+
difficulty_dictionary["Intermediate"]["description"],
|
244 |
+
difficulty_dictionary["Professional"]["description"]
|
245 |
+
],
|
246 |
+
index=list(difficulty_dictionary).index(st.session_state.selected_difficulty)
|
247 |
+
)
|
248 |
|
249 |
+
st.session_state.exclusions = st.text_area(
|
250 |
+
"Any ingredients you want to exclude?",
|
251 |
+
value=st.session_state.exclusions,
|
252 |
+
placeholder="gluten, dairy, nuts, cilantro",
|
253 |
+
)
|
|
|
|
|
|
|
254 |
|
255 |
+
fancy_exclusions = ""
|
256 |
+
|
257 |
+
if st.session_state.selected_difficulty == "Professional":
|
258 |
+
exclude_fancy = st.checkbox(
|
259 |
+
"Exclude cliche professional ingredients? (gold leaf, truffle, edible flowers, microgreens)",
|
260 |
+
value=True)
|
261 |
+
if exclude_fancy:
|
262 |
+
fancy_exclusions = "gold leaf, truffle, edible flowers, microgreens, gold dust"
|
263 |
+
|
264 |
+
user_inputs = {
|
265 |
+
"user_direction": st.session_state.user_direction,
|
266 |
+
"exclusions": f"{st.session_state.exclusions}, {fancy_exclusions}".strip(", "),
|
267 |
+
"serving_size": st.session_state.serving_size,
|
268 |
+
"difficulty": st.session_state.selected_difficulty
|
269 |
+
}
|
270 |
+
|
271 |
+
button_cols_submit = st.columns([1, 1, 4])
|
272 |
+
with button_cols_submit[0]:
|
273 |
+
st.button(label='Submit', on_click=generate_recipe, kwargs=dict(user_inputs=user_inputs), type="primary",
|
274 |
+
use_container_width=True)
|
275 |
+
with button_cols_submit[1]:
|
276 |
+
st.button(label='Reset', on_click=clear_inputs, type="secondary", use_container_width=True)
|
277 |
+
with button_cols_submit[2]:
|
278 |
+
st.empty()
|
279 |
+
|
280 |
+
|
281 |
+
def create_safe_filename(recipe_name):
|
282 |
+
# format and generate random URL-safe text string
|
283 |
+
safe_name = recipe_name.lower()
|
284 |
+
safe_name = safe_name.replace(" ", "_")
|
285 |
+
safe_name = re.sub(r"[^a-zA-Z0-9_]", "", safe_name)
|
286 |
+
safe_name = (safe_name[:50]) if len(safe_name) > 50 else safe_name
|
287 |
+
unique_token = secrets.token_hex(8)
|
288 |
+
safe_filename = f"{unique_token}_{safe_name}"
|
289 |
+
return safe_filename
|
290 |
+
|
291 |
+
|
292 |
+
def save_recipe():
|
293 |
+
with st.spinner('WAIT SAVING YOUR DISH...'):
|
294 |
+
filename = create_safe_filename(recipe["name"])
|
295 |
+
os.makedirs('data', exist_ok=True)
|
296 |
+
with open(f'./data/{filename}.pkl', 'wb') as f:
|
297 |
+
pickle.dump(recipe, f)
|
298 |
+
st.session_state.recipe_saved = True
|
299 |
+
|
300 |
+
|
301 |
+
if st.session_state.recipe is not None:
|
302 |
+
st.divider()
|
303 |
+
print(st.session_state.recipe)
|
304 |
+
recipe = json.loads(st.session_state.recipe)
|
305 |
+
show_recipe(recipe)
|
306 |
+
recipe['timestamp'] = str(datetime.datetime.now())
|
307 |
+
if st.session_state.recipe_saved == True:
|
308 |
+
disable_button = True
|
309 |
+
else:
|
310 |
+
disable_button = False
|
311 |
+
button_cols_save = st.columns([1, 1, 4])
|
312 |
+
with button_cols_save[0]:
|
313 |
+
st.button("Save Recipe", on_click=save_recipe, disabled=disable_button, type="primary")
|
314 |
+
with button_cols_save[1]:
|
315 |
+
st.empty()
|
316 |
+
with button_cols_save[2]:
|
317 |
+
st.empty()
|
318 |
+
if st.session_state.recipe_saved == True:
|
319 |
+
st.success("Recipe Saved!")
|
320 |
+
with saved:
|
321 |
+
st.title("Saved Recipes")
|
322 |
+
with st.spinner('LOADING YOUR RECIPE...'):
|
323 |
+
def load_saved_recipes_from_pickle(directory_path):
|
324 |
+
os.makedirs('data', exist_ok=True)
|
325 |
+
recipes = []
|
326 |
+
# Iterate through all files in the directory
|
327 |
+
for filename in os.listdir(directory_path):
|
328 |
+
if filename.endswith('.pkl'):
|
329 |
+
file_path = os.path.join(directory_path, filename)
|
330 |
+
with open(file_path, 'rb') as file:
|
331 |
+
recipe = pickle.load(file)
|
332 |
+
recipes.append(recipe)
|
333 |
+
return recipes
|
334 |
+
|
335 |
+
|
336 |
+
# get all saved files
|
337 |
+
directory_path = 'data'
|
338 |
+
recipes = load_saved_recipes_from_pickle(directory_path)
|
339 |
+
print(recipes)
|
340 |
+
|
341 |
+
cols = st.columns([4, 1])
|
342 |
+
with cols[1]:
|
343 |
+
user_sort = st.selectbox("Sort", ('Recent', 'Oldest', 'A-Z', 'Z-A', 'Random'))
|
344 |
+
if user_sort == 'Recent':
|
345 |
+
recipes.sort(key=lambda x: x['timestamp'], reverse=True)
|
346 |
+
elif user_sort == 'Oldest':
|
347 |
+
recipes.sort(key=lambda x: x['timestamp'])
|
348 |
+
elif user_sort == 'A-Z':
|
349 |
+
recipes.sort(key=lambda x: x['name'])
|
350 |
+
elif user_sort == 'Z-A':
|
351 |
+
recipes.sort(key=lambda x: x['name'], reverse=True)
|
352 |
+
elif user_sort == 'Random':
|
353 |
+
recipes.sort(key=lambda x: x['file'])
|
354 |
+
with cols[0]:
|
355 |
+
user_search = st.selectbox("Search Recipes", [""] + [recipe['name'] for recipe in recipes])
|
356 |
+
st.write("") # just some space
|
357 |
+
|
358 |
+
if user_search != "":
|
359 |
st.divider()
|
360 |
+
filtered_recipes = [recipe for recipe in recipes if recipe['name'] == user_search]
|
361 |
+
if filtered_recipes:
|
362 |
+
show_recipe(filtered_recipes[0])
|
363 |
+
else:
|
364 |
+
st.write("No recipe found.")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|