app.py

import gradio as gr
import requests

SPOONACULAR_API_KEY = "71259036cfb3405aa5d49c1220a988c5"
recipe_id_map = {}

# Search recipes
def search_recipes(ingredient, cuisine, dietary):
    global recipe_id_map
    url = "https://api.spoonacular.com/recipes/complexSearch"
    params = {
        "query": ingredient,
        "cuisine": cuisine,
        "diet": dietary,
        "number": 3,
        "apiKey": SPOONACULAR_API_KEY
    }
    res = requests.get(url, params=params)
    data = res.json()

    if "results" not in data or not data["results"]:
        recipe_id_map = {}
        return gr.update(choices=[], visible=True, label="No recipes found"), gr.update(value="No recipes found.")

    recipe_id_map = {r["title"]: r["id"] for r in data["results"]}
    return gr.update(choices=list(recipe_id_map.keys()), visible=True), gr.update(value="Select a recipe from the dropdown.")

# Get recipe details
def get_recipe_details(selected_title):
    if not selected_title or selected_title not in recipe_id_map:
        return "Please select a valid recipe."

    recipe_id = recipe_id_map[selected_title]
    url = f"https://api.spoonacular.com/recipes/{recipe_id}/information"
    params = {"apiKey": SPOONACULAR_API_KEY}
    res = requests.get(url, params=params)
    data = res.json()

    title = data.get("title", "Unknown Title")
    time = data.get("readyInMinutes", "N/A")
    instructions = data.get("instructions") or "No instructions available."

    return f"### 🍽️ {title}\n**⏱️ Cook Time:** {time} minutes\n\n**📋 Instructions:**\n{instructions}"

# Handle chatbot questions
def ask_recipe_bot(message, history):
    # Try to find a recipe ID from previous dropdown results
    if not recipe_id_map:
        return "Please use the dropdown tab first to search for a recipe."

    # Use the first recipe ID from the map
    recipe_id = list(recipe_id_map.values())[0]
    url = f"https://api.spoonacular.com/recipes/{recipe_id}/nutritionWidget.json"
    params = {"apiKey": SPOONACULAR_API_KEY}
    res = requests.get(url, params=params)
    
    if res.status_code != 200:
        return "Sorry, I couldn't retrieve nutrition info."

    data = res.json()
    calories = data.get("calories", "N/A")
    carbs = data.get("carbs", "N/A")
    protein = data.get("protein", "N/A")
    fat = data.get("fat", "N/A")

    if "calorie" in message.lower():
        return f"This recipe has {calories}."
    elif "protein" in message.lower():
        return f"It contains {protein}."
    elif "carb" in message.lower():
        return f"It has {carbs}."
    elif "fat" in message.lower():
        return f"The fat content is {fat}."
    elif "scale" in message.lower() or "double" in message.lower():
        return "You can scale ingredients by multiplying each quantity. For example, to double the recipe, multiply every amount by 2."
    elif "substitute" in message.lower():
        return "Let me know the ingredient you'd like to substitute, and I’ll try to help!"
    else:
        return "You can ask about calories, protein, carbs, fat, substitutes, or scaling tips."

# Gradio layout
with gr.Blocks() as demo:
    gr.Markdown("## 🧠🍴 The BiteBot")

    with gr.Tabs():
        with gr.Tab("Search Recipes"):
            with gr.Row():
                ingredient = gr.Textbox(label="Preferred Ingredient")
                cuisine = gr.Textbox(label="Preferred Cuisine")
                diet = gr.Textbox(label="Dietary Restrictions")

            search_button = gr.Button("Search Recipes")
            recipe_dropdown = gr.Dropdown(label="Select a recipe", visible=False)
            recipe_output = gr.Markdown()

            search_button.click(
                fn=search_recipes,
                inputs=[ingredient, cuisine, diet],
                outputs=[recipe_dropdown, recipe_output]
            )

            recipe_dropdown.change(
                fn=get_recipe_details,
                inputs=recipe_dropdown,
                outputs=recipe_output
            )

        with gr.Tab("Ask BiteBot"):
            chatbot = gr.ChatInterface(fn=ask_recipe_bot, chatbot=gr.Chatbot(height=300))
            gr.Markdown("💬 Ask about calories, macros, scaling, or substitutions. (Run a recipe search first!)")

demo.launch()