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Update app.py
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app.py
CHANGED
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@@ -4,13 +4,12 @@ import pickle
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import numpy as np
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import os
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import random
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import traceback
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from huggingface_hub import InferenceClient
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from sklearn.metrics.pairwise import cosine_similarity
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from IO_pipeline import RecipeDigitalizerPipeline
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# ==========================================
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# 1. DATA LOADING
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# ==========================================
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hf_token = os.getenv("HF_TOKEN")
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API_MODEL = "BAAI/bge-small-en-v1.5"
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@@ -25,6 +24,7 @@ try:
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if isinstance(data, dict):
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stored_embeddings = np.array(data['embeddings'])
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elif isinstance(data, pd.DataFrame):
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target_col = next((c for c in ['embedding', 'embeddings', 'vectors'] if c in data.columns), None)
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stored_embeddings = np.vstack(data[target_col].values) if target_col else data
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else:
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@@ -36,7 +36,7 @@ except Exception as e:
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stored_embeddings = None
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# ==========================================
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# 2.
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# ==========================================
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def get_embedding_via_api(text):
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if not client: raise ValueError("HF_TOKEN missing")
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@@ -45,7 +45,6 @@ def get_embedding_via_api(text):
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def find_similar_recipes(query_text):
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if stored_embeddings is None: return "Database error."
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query_vec = get_embedding_via_api("Represent this recipe for retrieving similar dishes: " + query_text)
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if len(query_vec.shape) == 1: query_vec = query_vec.reshape(1, -1)
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@@ -80,30 +79,149 @@ def magic_pipeline(image_path):
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return f"Error: {e}", f"Error: {e}"
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# ==========================================
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# 3.
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# ==========================================
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fb_css = """
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body {background-color: #f0f2f5 !important; font-family:
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/* Header */
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.fb-header {
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background-color: #ffffff;
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color: #1877f2;
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padding: 10px 20px;
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font-size: 28px;
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font-weight: 900;
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box-shadow: 0 2px 4px rgba(0,0,0,0.1);
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margin-bottom: 20px;
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border-bottom: 1px solid #ddd;
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}
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}
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.sidebar-btn {
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background-color: transparent !important;
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color: #050505 !important;
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text-align: left !important;
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border: none !important;
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font
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import numpy as np
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import os
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import random
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from huggingface_hub import InferenceClient
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from sklearn.metrics.pairwise import cosine_similarity
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from IO_pipeline import RecipeDigitalizerPipeline
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# ==========================================
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# 1. SETUP & DATA LOADING
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# ==========================================
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hf_token = os.getenv("HF_TOKEN")
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API_MODEL = "BAAI/bge-small-en-v1.5"
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if isinstance(data, dict):
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stored_embeddings = np.array(data['embeddings'])
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elif isinstance(data, pd.DataFrame):
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# Fallback for dataframe format
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target_col = next((c for c in ['embedding', 'embeddings', 'vectors'] if c in data.columns), None)
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stored_embeddings = np.vstack(data[target_col].values) if target_col else data
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else:
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stored_embeddings = None
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# ==========================================
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# 2. LOGIC
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# ==========================================
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def get_embedding_via_api(text):
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if not client: raise ValueError("HF_TOKEN missing")
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def find_similar_recipes(query_text):
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if stored_embeddings is None: return "Database error."
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query_vec = get_embedding_via_api("Represent this recipe for retrieving similar dishes: " + query_text)
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if len(query_vec.shape) == 1: query_vec = query_vec.reshape(1, -1)
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return f"Error: {e}", f"Error: {e}"
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# ==========================================
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# 3. CSS STYLING (With Logo Support)
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# ==========================================
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fb_css = """
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body {background-color: #f0f2f5 !important; font-family: Helvetica, Arial, sans-serif;}
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.fb-header {
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background-color: #ffffff;
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color: #1877f2;
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padding: 10px 20px;
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font-size: 28px;
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font-weight: 900;
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box-shadow: 0 2px 4px rgba(0,0,0,0.1);
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border-bottom: 1px solid #ddd;
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margin-bottom: 20px;
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display: flex;
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align-items: center;
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}
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.logo-img {
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height: 40px;
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margin-right: 15px;
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border-radius: 5px;
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}
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.sidebar-btn {
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background-color: transparent !important;
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color: #050505 !important;
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text-align: left !important;
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border: none !important;
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font-weight: 600 !important;
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padding: 12px !important;
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font-size: 16px !important;
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box-shadow: none !important;
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width: 100% !important;
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border-radius: 8px !important;
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}
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.sidebar-btn:hover { background-color: #e4e6eb !important; }
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.fb-card {
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background: white;
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border-radius: 8px;
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box-shadow: 0 1px 2px rgba(0,0,0,0.2);
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padding: 20px;
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margin-bottom: 20px;
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}
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.avatar {
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width: 40px; height: 40px;
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background-color: #e4e6eb;
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border-radius: 50%;
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text-align: center;
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line-height: 40px;
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margin-right: 10px;
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}
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"""
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# ==========================================
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# 4. LAYOUT
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# ==========================================
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with gr.Blocks(css=fb_css, title="Legacy Kitchen") as demo:
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# --- HEADER WITH LOGO ---
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# We use 'file/logo.jpg' to access local files in Gradio/HF Spaces
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gr.HTML("""
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<div class="fb-header">
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<img src="file/logo.jpg" class="logo-img" alt="Logo">
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Legacy Kitchen
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</div>
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""")
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with gr.Row():
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# --- LEFT SIDEBAR ---
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with gr.Column(scale=1, min_width=250):
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gr.HTML('<div style="display:flex; align-items:center; margin-bottom:20px;"><div class="avatar">👤</div><b>My Profile</b></div>')
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nav_feed = gr.Button("📰 Feed", elem_classes=["sidebar-btn"])
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nav_digital = gr.Button("📸 Digitizer", elem_classes=["sidebar-btn"])
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nav_saved = gr.Button("🔖 Saved", elem_classes=["sidebar-btn"])
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gr.Markdown("---")
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gr.Markdown("Privacy · Terms · Cookies")
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# --- RIGHT CONTENT ---
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with gr.Column(scale=3):
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# VIEW 1: FEED
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with gr.Group(visible=True) as feed_view:
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with gr.Group(elem_classes=["fb-card"]):
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with gr.Row():
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gr.HTML('<div class="avatar">👤</div>')
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gr.Textbox(placeholder="What's cooking?", show_label=False, container=False, scale=5)
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if not df_recipes.empty:
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feed_samples = df_recipes.sample(10)
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for index, row in feed_samples.iterrows():
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with gr.Group(elem_classes=["fb-card"]):
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user = random.choice(["Grandma Rose", "Chef Mike", "Sarah J."])
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emoji = random.choice(["🥘", "🥗", "🍰"])
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gr.HTML(f"""
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<div style="display:flex; margin-bottom:10px;">
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<div class="avatar">{emoji}</div>
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<div><b>{user}</b><br><span style="color:gray; font-size:12px;">2h · 🌍</span></div>
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</div>
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""")
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gr.Markdown(f"**{row['Title']}**\n\n{str(row['Raw_Output'])[:200]}... [Read More]")
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with gr.Row():
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like_btn = gr.Button("👍 Like", size="sm")
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gr.Button("💬 Comment", size="sm")
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gr.Button("↗️ Share", size="sm")
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def toggle_like(x): return "👍 Liked!"
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like_btn.click(toggle_like, like_btn, like_btn)
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else:
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gr.Markdown("Database empty.")
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# VIEW 2: DIGITALIZER
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with gr.Group(visible=False) as digitalizer_view:
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gr.Markdown("### 📸 Digitize Recipe", elem_classes=["fb-card"])
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with gr.Group(elem_classes=["fb-card"]):
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with gr.Row():
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with gr.Column():
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input_img = gr.Image(type="filepath", label="Upload Photo")
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magic_btn = gr.Button("✨ Digitize", variant="primary")
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with gr.Column():
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out_text = gr.Textbox(label="Text", lines=10)
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out_sim = gr.Textbox(label="Similar", lines=10)
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magic_btn.click(magic_pipeline, input_img, [out_text, out_sim])
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# VIEW 3: SAVED
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with gr.Group(visible=False) as saved_view:
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gr.Markdown("### 🔖 Saved Recipes", elem_classes=["fb-card"])
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gr.Markdown("No saved recipes yet.")
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# Nav Logic
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nav_feed.click(lambda: (gr.update(visible=True), gr.update(visible=False), gr.update(visible=False)), None, [feed_view, digitalizer_view, saved_view])
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nav_digital.click(lambda: (gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)), None, [feed_view, digitalizer_view, saved_view])
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nav_saved.click(lambda: (gr.update(visible=False), gr.update(visible=False), gr.update(visible=True)), None, [feed_view, digitalizer_view, saved_view])
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if __name__ == "__main__":
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demo.launch()
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