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import gradio as gr
import requests
def response(message, history):
bitebot_chunks = get_top_chunks(message, chunk_embeddings, cleaned_chunks)
print(bitebot)
str_bitebot_chunks = "\n".join(bitebot_chunks)
messages = [{"role" : "system", "content" : "You are a helpful chef who provides recipes according the the user's dietary choices and cusine preferences."}]
# update response person on provided context; use f-strings
if history:
messages.extend(history)
messages.append({"role" : "user", "content" : message})
response = client.chat_completion(
messages,
max_tokens = 100
# temperature == 0.2
)
return response['choices'][0]['message']['content'].strip()
SPOONACULAR_API_KEY = "71259036cfb3405aa5d49c1220a988c5" #our api key
recipe_id_map = {} #creating dictionary to keep track of which recipe title for which recipe id
# search for recipes
def search_recipes(ingredient, cuisine, dietary): #filter results based on these sends requests
global recipe_id_map
url = "https://api.spoonacular.com/recipes/complexSearch"
params = {
"query": ingredient,
"cuisine": cuisine,
"diet": dietary,
"number": 3,
"apiKey": SPOONACULAR_API_KEY
} #updates the dropdown with these titles and stores ids for later
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.") #if no recipe found
recipe_id_map = {r["title"]: r["id"] for r in data["results"]}
return gr.update(choices=list(recipe_id_map.keys()), visible=True, label="Select a recipe"), gr.update(value="Select a recipe from the dropdown above.")
#asks user to choose a recipe from dropdown
# get recipe details from the recipe the user selects
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}"
# UI
with gr.Blocks() as demo:
gr.Markdown("## 🥗 The BiteBot")
#creates interface using rows and columns layout
with gr.Row():
ingredient = gr.Textbox(label="Preferred Ingredient", placeholder="e.g., chicken")
cuisine = gr.Textbox(label="Preferred Cuisine", placeholder="e.g., Indian")
diet = gr.Textbox(label="Dietary Restrictions", placeholder="e.g., vegetarian")
#creates 3 input fields side by side for ingredient, cuisine, restrictions
search_button = gr.Button("Search Recipes")
recipe_dropdown = gr.Dropdown(label="Select a recipe", visible=False)
recipe_output = gr.Markdown()
#triggers the search, displays up to 3 recipes, shows the recipe selected
search_button.click(
fn=search_recipes,
inputs=[ingredient, cuisine, diet],
outputs=[recipe_dropdown, recipe_output]
) #when user clicks search runs search recipes function and fills dropdown
recipe_dropdown.change(
fn=get_recipe_details,
inputs=recipe_dropdown,
outputs=recipe_output
) #when user picks option, runs get recipe details and displays full recipe
demo.launch()
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