choose recipe

app.py

@@ -1,11 +1,14 @@
 import gradio as gr
 import requests
-from huggingface_hub import InferenceClient
 
 SPOONACULAR_API_KEY = "71259036cfb3405aa5d49c1220a988c5"
 
-# Function to get recipes from Spoonacular
-def get_recipes(ingredient, cuisine, dietary):
+# Global variable to store recipe ID mappings
+recipe_id_map = {}
+
+# Step 1: Search for recipes
+def search_recipes(ingredient, cuisine, dietary):
+    global recipe_id_map
     url = "https://api.spoonacular.com/recipes/complexSearch"
     params = {
         "query": ingredient,
@@ -14,73 +17,69 @@ def get_recipes(ingredient, cuisine, 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"]:
-        return "No recipes found. Try different inputs."
-
-    output = ""
-    for r in data["results"]:
-        output += f"🍽️ {r['title']}\n"
-
-    return output.strip()
-
-
-# Gradio Interface for Recipe Finder
-recipe_interface = gr.Interface(
-    fn=get_recipes,
-    inputs=[
-        gr.Textbox(label="Preferred Ingredient (e.g., chicken, tofu)"),
-        gr.Textbox(label="Preferred Cuisine (e.g., Indian, Italian, Thai)"),
-        gr.Textbox(label="Dietary Restrictions (e.g., vegetarian, vegan, gluten free)")
-    ],
-    outputs="text",
-    title="🥗 Spoonacular Recipe Finder",
-    description="Get 3 recipe suggestions based on your ingredient, cuisine, and dietary preferences."
-)
-
-
-# Chatbot setup using HuggingFace InferenceClient
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-def respond(message, history: list[tuple[str, str]], system_message, max_tokens, temperature, top_p):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-        response += token
-        yield response
-
-
-# Gradio ChatInterface
-chat_interface = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
-    ],
-    title="💬 AI Chatbot"
-)
-
-
-# Launch both UIs
-with gr.TabbedInterface([recipe_interface, chat_interface], tab_names=["🍴 Recipe Finder", "💬 Chatbot"]) as demo:
-    demo.launch()
+        return gr.Dropdown(choices=[], label="No recipes found", interactive=False), gr.update(visible=False)
+
+    # Map recipe titles to their IDs
+    recipe_id_map = {r["title"]: r["id"] for r in data["results"]}
+
+    dropdown = gr.Dropdown(
+        choices=list(recipe_id_map.keys()),
+        label="Select a recipe to view full instructions",
+        interactive=True
+    )
+
+    return dropdown, gr.update(visible=True)
+
+
+# Step 2: Fetch recipe details by ID
+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", "No instructions available.")
+
+    return f"🍽️ **{title}**\n⏱️ Ready in: {time} minutes\n\n📋 Instructions:\n{instructions}"
+
+
+# Interface
+with gr.Blocks() as recipe_app:
+    gr.Markdown("## 🥗 Spoonacular Recipe Finder\nFind recipes based on your preferences.")
+
+    with gr.Row():
+        ingredient_input = gr.Textbox(label="Preferred Ingredient")
+        cuisine_input = gr.Textbox(label="Preferred Cuisine")
+        dietary_input = gr.Textbox(label="Dietary Restrictions")
+
+    search_btn = gr.Button("🔍 Search Recipes")
+    recipe_dropdown = gr.Dropdown(label="Select a recipe", visible=False)
+    recipe_output = gr.Markdown()
+
+    # Actions
+    search_btn.click(
+        search_recipes,
+        inputs=[ingredient_input, cuisine_input, dietary_input],
+        outputs=[recipe_dropdown, recipe_output]
+    )
+
+    recipe_dropdown.change(
+        get_recipe_details,
+        inputs=recipe_dropdown,
+        outputs=recipe_output
+    )
+
+recipe_app.launch()
+