Upload app.py with huggingface_hub

app.py

@@ -9,10 +9,9 @@ from sklearn.pipeline import Pipeline
 from sklearn.linear_model import LogisticRegression
 from huggingface_hub import InferenceClient
 
-# --- 1. Hybrid Data Generation (High Volume - 10,000 Rows) ---
-# אנחנו משתמשים בלוגיקה ההיברידית כדי לייצר דאטה ענק בזמן אמת כשהאפליקציה עולה
+# --- LIBRARIES & LOGIC (UNCHANGED) ---
+# (כל הלוגיקה נשארת בדיוק אותו דבר, רק מוסתרת כדי לא להפריע לעיניים)
 print("🚀 Generating Synthetic Data...")
-
 proteins = ["Chicken", "Beef", "Tofu", "Salmon", "Shrimp", "Chickpeas", "Lentils", "Turkey", "Duck", "Egg"]
 carbs = ["Rice", "Pasta", "Quinoa", "Potatoes", "Bread", "Noodles", "Tortilla", "Bun", "Couscous"]
 veggies = ["Broccoli", "Spinach", "Carrots", "Tomatoes", "Mushrooms", "Onions", "Peppers", "Kale", "Avocado", "Corn"]
@@ -21,105 +20,174 @@ spices = ["Garlic", "Basil", "Chili", "Curry Powder", "Cumin", "Oregano", "Ginge
 adjectives = ["Spicy", "Creamy", "Roasted", "Grilled", "Fresh", "Zesty", "Hearty", "Crispy", "Savory", "Sweet"]
 
 def generate_recipe():
-    p = random.choice(proteins)
-    c = random.choice(carbs)
-    v1 = random.choice(veggies)
-    s = random.choice(sauces)
-    sp = random.choice(spices)
-    adj = random.choice(adjectives)
-    
+    p = random.choice(proteins); c = random.choice(carbs); v1 = random.choice(veggies); s = random.choice(sauces); sp = random.choice(spices); adj = random.choice(adjectives)
     title = f"{adj} {p} with {c}"
     ingredients = f"{p}, {c}, {v1}, {s}, {sp}"
-    
-    # Logic Rules for Labeling
     vibe = "Quick Lunch"
     if "Salmon" in p or "Shrimp" in p or "Duck" in p: vibe = "Fancy Dinner"
     elif "Chocolate" in ingredients or "Risotto" in title: vibe = "Romantic"
     elif "Tofu" in p or "Kale" in v1 or "Quinoa" in c: vibe = "Healthy Boost"
     elif "Tortilla" in c or "BBQ" in s or "Crispy" in title: vibe = "Party Snack"
     elif "Potatoes" in c or "Cream" in s or "Pasta" in c: vibe = "Comfort Food"
-    
     return {"title": title, "ingredients": ingredients, "Vibe_AI": vibe}
 
-# Create 5,000 rows for the live app (fast training)
 data = [generate_recipe() for _ in range(5000)]
 df = pd.DataFrame(data)
-
-# --- 2. Model Training ---
-X = df['ingredients']
-y = df['Vibe_AI']
-
-pipeline = Pipeline([
-    ('tfidf', TfidfVectorizer(stop_words='english')),
-    ('clf', LogisticRegression(max_iter=1000))
-])
+X = df['ingredients']; y = df['Vibe_AI']
+pipeline = Pipeline([('tfidf', TfidfVectorizer(stop_words='english')),('clf', LogisticRegression(max_iter=1000))])
 pipeline.fit(X, y)
-print("✅ Model Trained on 5,000 synthetic records!")
 
-# --- 3. Functions ---
 def get_recipe_vibe(title, ingredients):
     full_text = f"{title} {ingredients}"
     return pipeline.predict([full_text])[0]
 
 def generate_food_image(title, vibe):
-    # Fetch token from Spaces Secrets
     token = os.getenv("HF_TOKEN")
     if not token: return None
-
     client = InferenceClient(model="stabilityai/stable-diffusion-xl-base-1.0", token=token)
-    prompt = f"Professional food photography of {title}, {vibe} style, 4k, highly detailed, appetizing, restaurant quality"
-    try:
-        return client.text_to_image(prompt)
-    except:
-        return None
+    prompt = f"Professional food photography of {title}, {vibe} style, 4k, highly detailed, appetizing, dramatic lighting, vibrant colors"
+    try: return client.text_to_image(prompt)
+    except: return None
 
 def smart_chef_app(title, ingredients):
     vibe = get_recipe_vibe(title, ingredients)
-
-    messages = {
-        "Romantic": "🌹 Love is in the air!",
-        "Quick Lunch": "⚡ Fast & Delicious!",
-        "Comfort Food": "🧸 Warm & Cozy.",
-        "Party Snack": "🎉 Party Time!",
-        "Healthy Boost": "🥗 Feel Good Food.",
-        "Fancy Dinner": "🍷 Chef's Kiss!"
-    }
-
+    messages = {"Romantic": "🌹 Love is in the air!", "Quick Lunch": "⚡ Fast & Delicious!", "Comfort Food": "🧸 Warm & Cozy.", "Party Snack": "🎉 Party Time!", "Healthy Boost": "🥗 Feel Good Food.", "Fancy Dinner": "🍷 Chef's Kiss!"}
     msg = messages.get(vibe, "Yum!")
     img = generate_food_image(title, vibe)
     return vibe, msg, img
 
-# --- 4. Premium UI Design ---
-premium_css = """
+# --- THE NEW ULTRA-PREMIUM UI CSS ---
+ultra_css = """
+@import url('https://fonts.googleapis.com/css2?family=Montserrat:wght@300;500;800&display=swap');
+
+/* אנימציית רקע זזה */
 .gradio-container {
-    background: linear-gradient(rgba(0,0,0,0.8), rgba(0,0,0,0.8)), url('https://images.unsplash.com/photo-1556910103-1c02745a30bf?ixlib=rb-4.0.3&auto=format&fit=crop&w=1600&q=80');
-    background-size: cover; background-position: center;
+    background: linear-gradient(-45deg, #0f0c29, #302b63, #24243e, #4a1c1c);
+    background-size: 400% 400%;
+    animation: gradientBG 15s ease infinite;
+    font-family: 'Montserrat', sans-serif !important;
+}
+
+@keyframes gradientBG {
+    0% {background-position: 0% 50%;}
+    50% {background-position: 100% 50%;}
+    100% {background-position: 0% 50%;}
+}
+
+/* כותרת ראשית זוהרת */
+h1 {
+    background: linear-gradient(to right, #ffcc00, #ff6600, #ff3300);
+    -webkit-background-clip: text;
+    -webkit-text-fill-color: transparent;
+    text-shadow: 0px 0px 15px rgba(255, 102, 0, 0.6);
+    font-weight: 800 !important;
+    text-align: center;
+    font-size: 3.5em !important;
+    letter-spacing: 2px;
+    margin-bottom: 10px !important;
+}
+
+h3 { color: #e0e0e0 !important; text-align: center; font-weight: 300; }
+
+/* כרטיסיות זכוכית מרחפות */
+.group-container {
+    background: rgba(255, 255, 255, 0.03);
+    backdrop-filter: blur(20px);
+    -webkit-backdrop-filter: blur(20px);
+    border-radius: 25px;
+    border: 1px solid rgba(255, 255, 255, 0.1);
+    box-shadow: 0 8px 32px 0 rgba(0, 0, 0, 0.5);
+    padding: 30px !important;
+    transition: all 0.4s cubic-bezier(0.25, 0.8, 0.25, 1);
+}
+
+.group-container:hover {
+    transform: translateY(-10px) scale(1.02);
+    border: 1px solid rgba(255, 204, 0, 0.4);
+    box-shadow: 0 20px 50px rgba(255, 102, 0, 0.3);
+}
+
+/* כפתור פעולה פועם */
+button.primary-btn {
+    background: linear-gradient(135deg, #ffcc00, #ff6600) !important;
+    border: none !important;
+    border-radius: 50px !important;
+    color: #000 !important;
+    font-weight: 800 !important;
+    font-size: 1.3em !important;
+    padding: 15px 30px !important;
+    box-shadow: 0 10px 20px -10px rgba(255, 102, 0, 0.7);
+    transition: all 0.3s ease;
+    animation: pulse 2s infinite;
+}
+
+button.primary-btn:hover {
+    transform: scale(1.08);
+    box-shadow: 0 20px 30px -10px rgba(255, 102, 0, 1);
+}
+
+@keyframes pulse {
+    0% {box-shadow: 0 0 0 0 rgba(255, 102, 0, 0.7);}
+    70% {box-shadow: 0 0 0 15px rgba(255, 102, 0, 0);}
+    100% {box-shadow: 0 0 0 0 rgba(255, 102, 0, 0);}
 }
-h1 {color: #ffcc00 !important; font-family: 'Helvetica Neue'; text-align: center; font-size: 3em !important; text-shadow: 2px 2px 4px black;}
-label {color: #ddd !important; font-weight: bold;}
-button.primary-btn {background: linear-gradient(45deg, #ff9900, #ffcc00) !important; color: black !important; font-weight: bold;}
+
+/* אלמנטים של טקסט */
+label { color: #ffcc00 !important; font-weight: 600 !important; letter-spacing: 1px; }
+span { color: #e0e0e0 !important; }
+textarea, input {
+    background-color: rgba(0,0,0,0.4) !important;
+    border: 1px solid rgba(255,255,255,0.1) !important;
+    color: white !important;
+    border-radius: 10px !important;
+}
+textarea:focus, input:focus {
+    border-color: #ffcc00 !important;
+    box-shadow: 0 0 10px rgba(255, 204, 0, 0.5) !important;
+}
+
+/* אנימציית כניסה */
+.gradio-container > * { animation: fadeUp 0.8s ease-out forwards; opacity: 0; }
+@keyframes fadeUp { from { opacity: 0; transform: translateY(30px); } to { opacity: 1; transform: translateY(0); } }
 """
 
-with gr.Blocks(css=premium_css, theme=gr.themes.Soft()) as demo:
-    gr.Markdown("# 👨‍🍳 SmartChef AI")
-    gr.Markdown("### 🚀 Powered by Synthetic Data (10k Rows) & Generative AI")
-    
+# שימוש בערכת נושא כהה מאוד כבסיס
+theme = gr.themes.Soft(primary_hue="orange", neutral_hue="slate").set(
+    body_background_fill="#000000",
+    block_background_fill="#121212",
+    block_border_width="0px"
+)
+
+with gr.Blocks(css=ultra_css, theme=theme) as demo:
+    gr.Markdown("# ✨ SMARTCHEF AI ✨")
+    gr.Markdown("### Experience the future of culinary magic.")
+
     with gr.Row():
-        with gr.Column():
-            t_in = gr.Textbox(label="Dish Name", placeholder="e.g. Truffle Risotto")
-            i_in = gr.Textbox(label="Ingredients", placeholder="e.g. Rice, Mushrooms, Cream...", lines=3)
-            btn = gr.Button("Cook & Visualize 🍳", elem_classes="primary-btn")
-        
-        with gr.Column():
-            v_out = gr.Label(label="Vibe Detected")
+        # הוספתי את elem_classes כדי להחיל את ה-CSS החדש על העמודות
+        with gr.Column(elem_classes="group-container"):
+            gr.Markdown("#### 📝 CREATE YOUR DISH")
+            t_in = gr.Textbox(label="Dish Name", placeholder="e.g., Mystical Truffle Risotto")
+            i_in = gr.Textbox(label="Ingredients", placeholder="e.g., Arborio rice, black truffle dust, parmesan magic...", lines=4)
+            btn = gr.Button("✨ UNLEASH MAGIC ✨", elem_classes="primary-btn")
+
+        with gr.Column(elem_classes="group-container"):
+            gr.Markdown("#### 🔮 THE REVELATION")
+            # שיניתי את הלייבלים שיראו כמו כרטיסיות מידע
+            v_out = gr.Textbox(label="Vibe Detected", interactive=False, show_label=True)
             m_out = gr.Markdown()
-            im_out = gr.Image(label="AI Visualization")
+            im_out = gr.Image(label="AI Visualization", type="pil", interactive=False, show_download_button=False)
 
+    gr.Markdown("### ⚡ Instant Inspirations (Click to try):")
     gr.Examples(
-        examples=[["Avocado Toast", "Bread, Avocado, Chili"], ["Beef Wellington", "Beef, Pastry, Mushrooms"], ["Green Smoothie", "Kale, Apple, Ginger"]],
-        inputs=[t_in, i_in]
+        examples=[
+            ["Midnight Burger", "Black bun, wagyu beef, spicy aioli, caramelized onions"],
+            ["Neon Sushi Roll", "Tuna, salmon, avocado, glowing tobiko, eel sauce"],
+            ["Enchanted Forest Salad", "Kale, edible flowers, berries, nuts, fairy dust dressing"]
+        ],
+        inputs=[t_in, i_in],
+        elem_id="examples-table"
     )
-    
+
     btn.click(smart_chef_app, [t_in, i_in], [v_out, m_out, im_out])
 
 if __name__ == "__main__":