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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."
ingredients_list = data.get("extendedIngredients", [])
ingredients = "\n".join([f"- {item.get('original')}" for item in ingredients_list])
return f"### 🍽️ {title}\n**⏱️ Cook Time:** {time} minutes\n\n**📋 Instructions:**\n{instructions}"
gr.Markdown("💬 Go to the next tab to ask our chatbot your questions on the recipe!")
# 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() |