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app.py

@@ -1,147 +1,36 @@
-#import streamlit as st
-#from PIL import Image
-#from recipe_model import predict_dish, generate_recipe
-
-#st.set_page_config(page_title="AI Recipe Chef", layout="centered", page_icon="🍳")
-#st.title("👨‍🍳 AI Recipe Chef")
-#st.write("Upload any food image and get a real AI-generated recipe with filters.")
-#st.markdown(
- #   "<h1 style='text-align: center; color: #F63366;'>👨‍🍳 AI Recipe Chef</h1>",
-  #  unsafe_allow_html=True
-#)
-#st.markdown("<p style='text-align: center;'>Upload a food image and get a personalized recipe with filters!</p>", unsafe_allow_html=True)
-#uploaded_image = st.file_uploader("Upload food image", type=["jpg", "jpeg", "png"])
-#st.sidebar.title("🔍History")
-#diet = st.selectbox("Dietary Preference", [
- #   "Any", "Vegetarian", "Non-Vegetarian", "Keto", "Gluten-Free", "Paleo"])
-
-#cuisine = st.selectbox("Cuisine", ["Any","Indian", "Chinese", "Italian", "Mexican", "Meditarrean"])
-#cook_time = st.selectbox("Cook Time", ["Any","<15 mins", "15-30 mins", ">30 mins","1 hour"])
-
-#if uploaded_image:
- #   st.image(uploaded_image, caption="Uploaded Image", use_column_width=True)
- #   with st.spinner("Detecting dish..."):
- #       dish = predict_dish(uploaded_image)
- #   st.success(f"Detected Dish: {dish}")
-
-#  with st.spinner("Generating recipe..."):
- #       import time
- #       time.sleep(0.8)  
- #       recipe = generate_recipe(dish, diet, cuisine, cook_time)
-        
- #   st.subheader("📋 Ingredients & Instructions")
- #   st.markdown(recipe, unsafe_allow_html=True)
-from __future__ import annotations
 import streamlit as st
 from PIL import Image
-from typing import Dict, List
-
-
-
-# ---------------- Dummy backend ----------------
-def generate_recipes(img: Image.Image, filters: Dict[str, str]) -> List[Dict]:
-    """Return hard-coded recipes; swap with real model later."""
-    return [
-        {
-            "title": "Cheesy Veg Sandwich",
-            "diet": filters["diet"],
-            "cuisine": filters["cuisine"],
-            "cook_time": filters["cook_time"],
-            "ingredients": [
-                "2 bread slices",
-                "1 slice cheese",
-                "Chopped tomato",
-                "Chopped onion",
-                "Butter",
-            ],
-            "instructions": [
-                "Spread butter on bread.",
-                "Add cheese and veggies.",
-                "Grill or toast till golden.",
-                "Serve hot with ketchup.",
-            ],
-        },
-        {
-            "title": "Quick Egg Fried Rice",
-            "diet": filters["diet"],
-            "cuisine": "Chinese",
-            "cook_time": "<30 min",
-            "ingredients": [
-                "1 cup cooked rice",
-                "2 eggs",
-                "Soy sauce",
-                "Chopped spring onion",
-                "Salt & pepper",
-            ],
-            "instructions": [
-                "Scramble eggs in a pan.",
-                "Add rice and soy sauce.",
-                "Mix well with veggies.",
-                "Garnish with spring onion.",
-            ],
-        },
-    ]
-
-# ---------------- UI ----------------
-def main() -> None:
-    
-    st.set_page_config(page_title="AI Recipe Generator", page_icon="🍳", layout="centered")
-    st.title("📸🍽️ AI-Powered Recipe Generator")
-
-    uploaded = st.file_uploader("Upload your fridge / pantry photo", type=["jpg", "jpeg", "png"])
-    if uploaded:
-        img = Image.open(uploaded)
-        st.image(img, caption="Uploaded image", use_column_width=True)
-
-        st.subheader("Filters")
-        col1, col2, col3 = st.columns(3)
-        with col1:
-            diet = st.selectbox("Diet", ["Any", "Vegetarian", "Vegan", "Keto", "Pescatarian", "Gluten-Free"])
-        with col2:
-            cuisine = st.selectbox("Cuisine", ["Any", "Indian", "Italian", "Mexican", "Chinese", "Mediterranean"])
-        with col3:
-            cook_time = st.selectbox("Cook time", ["Any", "<15 min", "<30 min", "<45 min", "1 hour+"])
-
-        if st.button("Generate Recipes", type="primary"):
-            with st.spinner("Chef-bot is thinking…"):
-                recs = generate_recipes(img, {"diet": diet, "cuisine": cuisine, "cook_time": cook_time})
-
-            if not recs:
-                st.warning("No recipes found — try relaxing a filter.")
-            else:
-                st.success(f"{len(recs)} recipe{'s' if len(recs)>1 else ''} found!")
-                show_recipes(recs)
-
-        if st.session_state.get("favourites"):
-            st.divider()
-            st.subheader("⭐ Saved favourites")
-            show_recipes(st.session_state["favourites"], favourite=True)
-    else:
-        st.info("👆 Upload an image to start.")
-
-def show_recipes(recs: List[Dict], favourite: bool = False) -> None:
-    for i, r in enumerate(recs):
-        with st.expander(f"🍽️  {r['title']}"):
-            c1, c2, c3 = st.columns([2, 1, 1])
-            with c1:
-                st.markdown(f"**Diet:** {r['diet']}")
-                st.markdown(f"**Cuisine:** {r['cuisine']}")
-                st.markdown(f"**Time:** {r['cook_time']}")
-            with c2:
-                rating = st.slider("Rate", 1, 5, 3, key=f"rating_{i}_{favourite}")
-                st.session_state.setdefault("ratings", {})[r["title"]] = rating
-            with c3:
-                fav_key = f"fav_{i}_{favourite}"
-                if st.checkbox("❤️ Save", key=fav_key):
-                    st.session_state.setdefault("favourites", []).append(r)
-
-            st.markdown("**Ingredients**")
-            st.markdown("\n".join(f"- {ing}" for ing in r["ingredients"]))
-            st.markdown("**Instructions**")
-            st.markdown("\n".join(f"{j+1}. {step}" for j, step in enumerate(r["instructions"])))
-
-if __name__ == "__main__":
-    main()
+from recipe_model import predict_dish, generate_recipe
+
+st.set_page_config(page_title="AI Recipe Chef", layout="centered", page_icon="🍳")
+st.title("👨‍🍳 AI Recipe Chef")
+st.write("Upload any food image and get a real AI-generated recipe with filters.")
+st.markdown(
+    "<h1 style='text-align: center; color: #F63366;'>👨‍🍳 AI Recipe Chef</h1>",
+    unsafe_allow_html=True
+)
+st.markdown("<p style='text-align: center;'>Upload a food image and get a personalized recipe with filters!</p>", unsafe_allow_html=True)
+uploaded_image = st.file_uploader("Upload food image", type=["jpg", "jpeg", "png"])
+st.sidebar.title("🔍History")
+diet = st.selectbox("Dietary Preference", [
+    "Any", "Vegetarian", "Non-Vegetarian", "Keto", "Gluten-Free", "Paleo"])
+
+cuisine = st.selectbox("Cuisine", ["Any","Indian", "Chinese", "Italian", "Mexican", "Meditarrean"])
+cook_time = st.selectbox("Cook Time", ["Any","<15 mins", "15-30 mins", ">30 mins","1 hour"])
+
+if uploaded_image:
+    st.image(uploaded_image, caption="Uploaded Image", use_column_width=True)
+    with st.spinner("Detecting dish..."):
+        dish = predict_dish(uploaded_image)
+    st.success(f"Detected Dish: {dish}")
+
+    with st.spinner("Generating recipe..."):
+        import time
+        time.sleep(0.8)  
+        recipe = generate_recipe(dish, diet, cuisine, cook_time)
+        
+    st.subheader("📋 Ingredients & Instructions")
+    st.markdown(recipe, unsafe_allow_html=True)
 
 
 

requirements.txt

@@ -3,3 +3,4 @@ torch
 torchvision
 transformers
 pillow
+requests