diff --git a/backend/app/agents.py b/backend/app/agents.py new file mode 100644 index 0000000..9e8d435 --- /dev/null +++ b/backend/app/agents.py @@ -0,0 +1,334 @@ +import os +import json +from datetime import datetime, timedelta +from typing import List, Dict, Any, Optional +from langchain_google_genai import ChatGoogleGenerativeAI +from googleapiclient.discovery import build +from youtube_transcript_api import YouTubeTranscriptApi +from eyepop import EyePopSdk +from eyepop.worker.worker_types import Pop, InferenceComponent + +class VisionAgent: + def __init__(self): + self.eyepop_api_key = os.getenv("EYEPOP_API_KEY", "").strip() + + async def detect_ingredients(self, image_path: str) -> List[str]: + if not self.eyepop_api_key: + msg = "Missing EyePop API Key." + print(msg) + raise ValueError(msg) + + print(f"Uploading to EyePop... (Worker Endpoint)") + + prompt = ( + "Analyze the image. " + "Ignore people, faces, hands, body parts, and human features. " + "Ignore background objects not related to items or products. " + "If the image is a bill or receipt, list the items on the bill. " + "If the image is of a shelf or store display, list the products visible. " + "If the image is of a single product, list that product only. " + "If the image is unclear or contains no items, respond with NO OBJECTS DETECTED. " + "Otherwise, detect and list only physical items or products visible. " + "Do not include humans or body parts as objects. " + "Use clear class labels only. " + "If unsure, set classLabel to null." + ) + + try: + # Synchronous SDK usage wrapped in async function + # Alternatively run in executor if blocking is an issue, but for now direct call + with EyePopSdk.workerEndpoint(api_key=self.eyepop_api_key) as endpoint: + endpoint.set_pop( + Pop(components=[ + InferenceComponent( + id=1, + ability="eyepop.image-contents:latest", + params={"prompts": [{"prompt": prompt}]} + ) + ]) + ) + + result = endpoint.upload(image_path).predict() + + # Parse result + ingredients = [] + # Check 'classes' or 'objects' depending on result structure from this model + # The user's snippet checks 'classes' from result + for c in result.get("classes", []): + label = c.get("classLabel") + if label: + ingredients.append(label.lower()) + + # Also check 'objects' just in case + for item in result.get('objects', []): + if 'classLabel' in item: + ingredients.append(item['classLabel'].lower()) + elif 'label' in item: + ingredients.append(item['label'].lower()) + + print(f"EyePop detected: {ingredients}") + if not ingredients: + print(f"Full EyePop Result for debugging: {result}") + + return list(set(ingredients)) + except Exception as e: + print(f"EyePop Error: {e}") + raise e + +class RecipeAgent: + def __init__(self): + # Primary Gemini API + self.primary_llm = ChatGoogleGenerativeAI( + model="gemini-3-flash-preview", + api_key=os.getenv('GEMINI_API_KEY'), + temperature=0.4 + ) + + # Backup Gemini API + backup_key = os.getenv('GEMINI_BACKUP_API_KEY') + self.backup_gemini = ChatGoogleGenerativeAI( + model="gemini-2.5-flash-lite", + api_key=backup_key, + temperature=0.4 + ) if backup_key else None + + # Grok API (using OpenAI-compatible interface) + self.grok_api_key = os.getenv('GROK_API_KEY') + + def _invoke_with_fallback(self, prompt: str) -> str: + """Try multiple AI providers in sequence until one succeeds""" + providers = [ + ("Primary Gemini", self.primary_llm), + ("Backup Gemini", self.backup_gemini), + ("Grok AI", None) # Will handle Grok separately + ] + + for name, llm in providers: + if llm is None and name != "Grok AI": + continue + + try: + if name == "Grok AI" and self.grok_api_key: + print(f"Trying {name}...") + return self._invoke_grok(prompt) + elif llm: + print(f"Trying {name}...") + response = llm.invoke(prompt) + print(f"✓ {name} succeeded") + return response.content + else: + print(f"Skipping {name} (not configured)") + except Exception as e: + import traceback + print(f"✗ {name} failed: {str(e)}") + traceback.print_exc() + continue + + raise Exception("All AI providers failed") + + def _invoke_grok(self, prompt: str) -> str: + """Call Grok AI using OpenAI-compatible API""" + import httpx + + response = httpx.post( + "https://api.x.ai/v1/chat/completions", + headers={ + "Authorization": f"Bearer {self.grok_api_key}", + "Content-Type": "application/json" + }, + json={ + "model": "grok-beta", + "messages": [{"role": "user", "content": prompt}], + "temperature": 0.4 + }, + timeout=30.0 + ) + response.raise_for_status() + return response.json()["choices"][0]["message"]["content"] + + async def get_expiry_dates(self, ingredients: List[str]) -> Dict[str, int]: + prompt = ( + f"Given these food ingredients: {', '.join(ingredients)}. " + "Predict a realistic shelf life (in days from today) for each ingredient IF stored normally (refrigerated for perishables, room temp for staples). " + "BE SPECIFIC AND VARIED. Do not return the same number for all ingredients unless they are identical categories. " + "Examples: Milk (5-7), Bread (3-5), Canned Beans (365), Fresh Spinach (3-4). " + "Return ONLY a JSON object where keys are ingredient names and values are integers (days)." + f"Current context: Today is {datetime.now().strftime('%Y-%m-%d')}." + ) + try: + content = self._invoke_with_fallback(prompt) + # Simple cleaning for JSON + content = content.replace('```json', '').replace('```', '').strip() + result = json.loads(content) + # Ensure all values are integers + return {str(k): int(v) for k, v in result.items()} + except Exception as e: + print(f"All AI providers failed (Expiry): {e}") + # Fallback with some variety + fallbacks = {"milk": 5, "bread": 4, "meat": 3, "egg": 14, "vegetable": 5, "fruit": 5} + return {ing: fallbacks.get(ing.lower(), 7) for ing in ingredients} + + async def generate_recipes(self, ingredients: List[Dict[str, Any]], preferences: str, use_pantry: bool = False) -> List[Dict[str, Any]]: + if not ingredients: + return [] + + ing_names = [i["name"] for i in ingredients] + # Calculate expiring soon for real-world logic + today = datetime.now().date() + expiring_soon = [] + for i in ingredients: + try: + if i.get("expiry") and (datetime.fromisoformat(i["expiry"]).date() - today).days <= 3: + expiring_soon.append(i["name"]) + except: + continue + + pantry_context = "You can ALSO assume the user has basic pantry staples like salt, pepper, oil, water, and flour." if use_pantry else "You CANNOT use any ingredient not in the list." + + prompt = ( + f"I have these EXACT ingredients: {', '.join(ing_names)}. " + f"Ingredients expiring soon: {', '.join(expiring_soon)}. " + f"{pantry_context} " + f"User preferences: {preferences}. " + "STRICT CONSTRAINT: You must ONLY use the provided ingredients and basic pantry staples (if allowed). " + "DO NOT include recipes that require other main ingredients (e.g. do not suggest Chicken Parmesan if I only have Tomato and Cheese). " + "If a recipe usually requires an ingredient I don't have, find a substitute from my list or skip that recipe. " + "Generate 5 recipes. For each recipe, provide: \n" + "1. 'title'\n" + "2. 'description' (3-4 lines)\n" + "3. 'image_prompt' (detailed description for AI image generation)\n" + "4. 'health_score' (A number 1-100 based on nutritional value and healthiness. Higher is better.)\n" + "5. 'nutrition' (object with 'calories' (kcal), 'protein' (g), 'carbs' (g), 'fat' (g) - estimated per serving)\n" + "Return the list as valid JSON.\n" + "Example: [{'title': 'Recipe Name', 'description': '...', 'image_prompt': '...', 'health_score': 85, 'nutrition': {'calories': 350, 'protein': 25, 'carbs': 40, 'fat': 12}}]" + ) + try: + content = self._invoke_with_fallback(prompt) + content = content.replace('```json', '').replace('```', '').strip() + recipes = json.loads(content) + + # Post-process to add real images + search_agent = SearchAgent() + for rec in recipes: + try: + # 1. Try DuckDuckGo Search (Proxied) + rec['image_url'] = await search_agent.find_recipe_image(rec['title']) + + # 2. If search returned the placeholder, try catching the YouTube thumbnail instead + if "placehold.co" in rec['image_url']: + best_video = await search_agent.find_best_video(rec['title']) + if best_video.get('thumbnail'): + rec['image_url'] = best_video['thumbnail'] + except Exception as img_err: + print(f"Failed to fetch image for {rec['title']}: {img_err}") + rec['image_url'] = f"https://placehold.co/800x600/black/gold?text={rec['title'].replace(' ', '+')}" + + return recipes + except Exception as e: + print(f"All AI providers failed (Recipes): {e}") + return [] + + async def generate_final_recipe(self, selected_recipe: str, video_context: str) -> str: + prompt = ( + f"You are a master chef and precise transcriber. Convert the following transcript/video context into a structured, detailed recipe: \n" + f"{video_context}\n\n" + "STRICT CONSTRAINTS:\n" + "1. FOLLOW THE TRANSCRIPT CONTENT EXACTLY. If the video describes a different dish than the title, follow the video contents.\n" + "2. DO NOT add 'Chef's Notes', 'Inspiration', or 'Zero Waste Tips'.\n" + "3. DO NOT suggest alternative recipes.\n" + "4. The output must be valid Markdown containing: Title, Ingredients (as described in video), and Step-by-step instructions.\n" + "5. If there is no transcript available, use the title and video stats to infer the best possible recipe for that specific video style." + ) + try: + return self._invoke_with_fallback(prompt) + except Exception as e: + return f"Error generating recipe: {str(e)}" + + +class SearchAgent: + def __init__(self): + self.youtube = build('youtube', 'v3', developerKey=os.getenv('YOUTUBE_API_KEY')) + + async def find_best_video(self, recipe_title: str) -> Dict[str, Any]: + # 1. Search Query + search_query = f"best {recipe_title} recipe tutorial" + request = self.youtube.search().list( + q=search_query, + part='snippet', + type='video', + maxResults=3, + order='relevance' + ) + response = request.execute() + + video_candidates = [] + for item in response['items']: + video_id = item['id']['videoId'] + # Get video stats for view count + stats_request = self.youtube.videos().list( + part='statistics', + id=video_id + ) + stats_response = stats_request.execute() + views = int(stats_response['items'][0]['statistics'].get('viewCount', 0)) + + # Fetch transcript if possible + transcript_text = "No transcript available." + try: + transcript_list = YouTubeTranscriptApi.get_transcript(video_id) + # Truncate transcript to ~10k chars to avoid hitting provider limits + transcript_text = " ".join([t['text'] for t in transcript_list])[:10000] + except Exception as e: + print(f"Could not fetch transcript for {video_id}: {e}") + + # YouTube Thumbnail is a great fallback for the recipe image + thumbnail_url = f"https://img.youtube.com/vi/{video_id}/maxresdefault.jpg" + + context = f"Title: {item['snippet']['title']}\nViews: {views}\nTranscript Content: {transcript_text}\n" + + video_candidates.append({ + "id": video_id, + "title": item['snippet']['title'], + "views": views, + "context": context, + "thumbnail": thumbnail_url + }) + + # 2. Simply pick the most viewed video + if video_candidates: + best_video = max(video_candidates, key=lambda v: v['views']) + return best_video + + # Fallback if no videos found + return { + "id": "", + "title": f"How to make {recipe_title}", + "views": 0, + "context": f"Recipe: {recipe_title}" + } + + async def find_recipe_image(self, recipe_title: str) -> str: + """Find a real image for the recipe using DuckDuckGo""" + print(f"Searching image for: {recipe_title}") + try: + with DDGS() as ddgs: + # Search for images with the recipe title + # Try fetching a few to ensure we get a working link + results = list(ddgs.images( + keywords=f"{recipe_title} cooked food high quality", + max_results=3, + safesearch="on" + )) + + if results: + for res in results: + if res.get('image'): + # Use weserv proxy to bypass hotlinking protection + raw_url = res['image'] + return f"https://images.weserv.nl/?url={raw_url}&w=800&h=600&fit=cover" + + except Exception as e: + print(f"Image Search Error for {recipe_title}: {e}") + + # Fallback if search fails + return f"https://placehold.co/800x600/black/gold?text={recipe_title.replace(' ', '+')}" diff --git a/backend/app/auth.py b/backend/app/auth.py new file mode 100644 index 0000000..df6a3ce --- /dev/null +++ b/backend/app/auth.py @@ -0,0 +1,70 @@ +from datetime import datetime, timedelta +from typing import Optional +from jose import JWTError, jwt +from passlib.context import CryptContext +from fastapi import Depends, HTTPException, status +from fastapi.security import OAuth2PasswordBearer +from sqlmodel import Session, select +from google.oauth2 import id_token +from google.auth.transport import requests +from .database import get_session +from .models import User +import os + +# Secret key to sign JWT +SECRET_KEY = os.getenv("JWT_SECRET", "supersecretkey") +ALGORITHM = "HS256" +ACCESS_TOKEN_EXPIRE_MINUTES = 30 + +pwd_context = CryptContext(schemes=["pbkdf2_sha256"], deprecated="auto") +oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token") + +def verify_password(plain_password, hashed_password): + return pwd_context.verify(plain_password, hashed_password) + +def get_password_hash(password): + return pwd_context.hash(password) + +def create_access_token(data: dict, expires_delta: Optional[timedelta] = None): + to_encode = data.copy() + if expires_delta: + expire = datetime.utcnow() + expires_delta + else: + expire = datetime.utcnow() + timedelta(minutes=15) + to_encode.update({"exp": expire}) + encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM) + return encoded_jwt + +async def get_current_user(token: str = Depends(oauth2_scheme), session: Session = Depends(get_session)): + credentials_exception = HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Could not validate credentials", + headers={"WWW-Authenticate": "Bearer"}, + ) + try: + payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM]) + email: str = payload.get("sub") + if email is None: + raise credentials_exception + except JWTError: + raise credentials_exception + + user = session.exec(select(User).where(User.email == email)).first() + if user is None: + raise credentials_exception + return user + +def verify_google_token(token: str): + CLIENT_ID = os.getenv("GOOGLE_CLIENT_ID") + print(f"DEBUG: Verifying Google Token with CLIENT_ID: {CLIENT_ID}") + if not CLIENT_ID: + print("DEBUG: No CLIENT_ID found!") + return {"email": "test@example.com"} + + try: + idinfo = id_token.verify_oauth2_token(token, requests.Request(), CLIENT_ID) + print(f"DEBUG: Token verified for email: {idinfo['email']}") + return idinfo + except Exception as e: + print(f"DEBUG: Google Token Verification ERROR: {str(e)}") + raise HTTPException(status_code=401, detail=f"Invalid Google token: {str(e)}") diff --git a/backend/app/database.py b/backend/app/database.py new file mode 100644 index 0000000..3b91f4f --- /dev/null +++ b/backend/app/database.py @@ -0,0 +1,18 @@ +from sqlmodel import create_engine, SQLModel, Session +import os +from dotenv import load_dotenv + +load_dotenv() + +sqlite_file_name = "database.db" +sqlite_url = f"sqlite:///{sqlite_file_name}" + +connect_args = {"check_same_thread": False} +engine = create_engine(sqlite_url, echo=True, connect_args=connect_args) + +def create_db_and_tables(): + SQLModel.metadata.create_all(engine) + +def get_session(): + with Session(engine) as session: + yield session diff --git a/backend/app/main.py b/backend/app/main.py new file mode 100644 index 0000000..a56d8d4 --- /dev/null +++ b/backend/app/main.py @@ -0,0 +1,185 @@ +from fastapi import FastAPI, Depends, HTTPException, UploadFile, File, status +from fastapi.middleware.cors import CORSMiddleware +from sqlmodel import Session, select +from datetime import datetime, date, timedelta +from typing import List, Dict, Any + +from .database import create_db_and_tables, get_session, engine +from .models import User, Ingredient, Recipe +from .auth import get_current_user, create_access_token, get_password_hash, verify_password, verify_google_token +from .agents import VisionAgent, RecipeAgent, SearchAgent + +app = FastAPI(title="Recipe Genie AI") + +# CORS setup for frontend +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +# Initialize Agents +vision_agent = VisionAgent() +recipe_agent = RecipeAgent() +search_agent = SearchAgent() + +@app.on_event("startup") +def on_startup(): + create_db_and_tables() + # Add/Update dummy user + with Session(engine) as session: + user = session.exec(select(User).where(User.email == "guest@example.com")).first() + hashed_pwd = get_password_hash("password") + if not user: + user = User(email="guest@example.com", hashed_password=hashed_pwd, full_name="Guest Chef") + session.add(user) + else: + # Force update password hash in case hashing algorithm changed + user.hashed_password = hashed_pwd + session.add(user) + session.commit() + +@app.post("/register") +async def register(user_data: Dict[str, str], session: Session = Depends(get_session)): + hashed_pwd = get_password_hash(user_data["password"]) + user = User(email=user_data["email"], hashed_password=hashed_pwd, full_name=user_data.get("full_name")) + session.add(user) + session.commit() + session.refresh(user) + return {"message": "User created"} + +@app.post("/token") +async def login(form_data: Dict[str, str], session: Session = Depends(get_session)): + user = session.exec(select(User).where(User.email == form_data["username"])).first() + if not user or not verify_password(form_data["password"], user.hashed_password): + raise HTTPException(status_code=400, detail="Incorrect email or password") + + access_token = create_access_token(data={"sub": user.email}) + + # Check for expiring items + expiring_soon = session.exec( + select(Ingredient).where( + Ingredient.user_id == user.id, + Ingredient.expiry_date <= date.today() + timedelta(days=3), + Ingredient.expiry_date >= date.today() + ) + ).all() + + notifications = [f"{ing.name} is expiring soon ({ing.expiry_date})!" for ing in expiring_soon] + + return { + "access_token": access_token, + "token_type": "bearer", + "notifications": notifications + } + +@app.post("/auth/google") +async def google_auth(token_data: Dict[str, str], session: Session = Depends(get_session)): + try: + google_data = verify_google_token(token_data["id_token"]) + email = google_data["email"] + + user = session.exec(select(User).where(User.email == email)).first() + if not user: + user = User(email=email, full_name=google_data.get("name", "Google User")) + session.add(user) + session.commit() + session.refresh(user) + + access_token = create_access_token(data={"sub": user.email}) + return { + "access_token": access_token, + "token_type": "bearer", + "user": { + "email": user.email, + "full_name": user.full_name + } + } + except Exception as e: + print(f"ERROR in google_auth endpoint: {str(e)}") + raise HTTPException(status_code=500, detail=str(e)) + +@app.post("/upload-ingredients") +async def upload_ingredients( + file: UploadFile = File(...), + current_user: User = Depends(get_current_user), + session: Session = Depends(get_session) +): + # Save file temporarily or process directly + import os + file_path = os.path.abspath(f"temp_{file.filename}") + try: + with open(file_path, "wb") as f: + f.write(await file.read()) + + # Step 1: EyePop Detection + detected_names = await vision_agent.detect_ingredients(file_path) + + # Step 2: Gemini Expiry dates + expiry_map = await recipe_agent.get_expiry_dates(detected_names) + + # Step 3: Save to DB + ingredients_added = [] + for name in detected_names: + days = expiry_map.get(name, 7) + expiry_date = date.today() + timedelta(days=int(days)) + new_ing = Ingredient(name=name, expiry_date=expiry_date, user_id=current_user.id) + session.add(new_ing) + ingredients_added.append({"name": name, "expiry": expiry_date}) + + session.commit() + return {"ingredients": ingredients_added} + except Exception as e: + print(f"Error in upload_ingredients: {e}") + raise HTTPException(status_code=500, detail=str(e)) + finally: + # Cleanup temp file + if os.path.exists(file_path): + os.remove(file_path) + +@app.post("/generate-recipes") +async def generate_recipes( + payload: Dict[str, Any], + current_user: User = Depends(get_current_user), + session: Session = Depends(get_session) +): + # Get all ingredients for this user + ingredients = session.exec(select(Ingredient).where(Ingredient.user_id == current_user.id)).all() + ing_list = [{"name": i.name, "expiry": i.expiry_date.isoformat()} for i in ingredients] + + if not ing_list: + raise HTTPException(status_code=400, detail="No ingredients found. Upload a photo first.") + + preferences = payload.get("text", "") + use_pantry = payload.get("use_pantry", False) + + recipes = await recipe_agent.generate_recipes(ing_list, preferences, use_pantry) + + + + return {"recipes": recipes} + +@app.post("/select-recipe") +async def select_recipe( + recipe_data: Dict[str, Any], + current_user: User = Depends(get_current_user) +): + # Step 1: Find best video + best_video = await search_agent.find_best_video(recipe_data["title"]) + + # Step 2: Generate final detailed recipe + final_recipe_md = await recipe_agent.generate_final_recipe(recipe_data["title"], best_video["context"]) + + return { + "video": best_video, + "recipe_markdown": final_recipe_md + } + +@app.get("/recipe-image") +async def get_recipe_image(query: str): + """Fetch a real image URL for a recipe using DuckDuckGo""" + image_url = await search_agent.find_recipe_image(query) + from fastapi.responses import RedirectResponse + return RedirectResponse(url=image_url) diff --git a/backend/app/models.py b/backend/app/models.py new file mode 100644 index 0000000..7e4a675 --- /dev/null +++ b/backend/app/models.py @@ -0,0 +1,33 @@ +from datetime import datetime, date +from typing import List, Optional +from sqlmodel import Field, SQLModel, Relationship + +class User(SQLModel, table=True): + id: Optional[int] = Field(default=None, primary_key=True) + email: str = Field(unique=True, index=True) + full_name: Optional[str] = None + hashed_password: Optional[str] = None + is_active: bool = Field(default=True) + + ingredients: List["Ingredient"] = Relationship(back_populates="user") + +class Ingredient(SQLModel, table=True): + id: Optional[int] = Field(default=None, primary_key=True) + name: str = Field(index=True) + expiry_date: Optional[date] = None + added_at: datetime = Field(default_factory=datetime.utcnow) + image_url: Optional[str] = None # Link to the uploaded image if we want to store it + + user_id: int = Field(foreign_key="user.id") + user: User = Relationship(back_populates="ingredients") + +class Recipe(SQLModel, table=True): + id: Optional[int] = Field(default=None, primary_key=True) + title: str + description: str + steps: str # JSON or Markdown + ingredients_list: str # What it actually uses + video_url: Optional[str] = None + video_title: Optional[str] = None + + user_id: int = Field(foreign_key="user.id") diff --git a/backend/database.db b/backend/database.db new file mode 100644 index 0000000..4c4c18c Binary files /dev/null and b/backend/database.db differ diff --git a/backend/requirements.txt b/backend/requirements.txt new file mode 100644 index 0000000..3e4ef16 --- /dev/null +++ b/backend/requirements.txt @@ -0,0 +1,19 @@ +fastapi +uvicorn +sqlmodel +alembic +python-dotenv +python-multipart +python-jose[cryptography] +passlib[bcrypt] +langchain-google-genai +google-api-python-client +youtube-transcript-api +eyepop +httpx +pydantic-settings +google-generativeai +pyjwt +google-auth +duckduckgo-search + diff --git a/frontend/.gitignore b/frontend/.gitignore new file mode 100644 index 0000000..a547bf3 --- /dev/null +++ b/frontend/.gitignore @@ -0,0 +1,24 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/frontend/README.md b/frontend/README.md new file mode 100644 index 0000000..18bc70e --- /dev/null +++ b/frontend/README.md @@ -0,0 +1,16 @@ +# React + Vite + +This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules. + +Currently, two official plugins are available: + +- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Babel](https://babeljs.io/) (or [oxc](https://oxc.rs) when used in [rolldown-vite](https://vite.dev/guide/rolldown)) for Fast Refresh +- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh + +## React Compiler + +The React Compiler is not enabled on this template because of its impact on dev & build performances. To add it, see [this documentation](https://react.dev/learn/react-compiler/installation). + +## Expanding the ESLint configuration + +If you are developing a production application, we recommend using TypeScript with type-aware lint rules enabled. Check out the [TS template](https://github.com/vitejs/vite/tree/main/packages/create-vite/template-react-ts) for information on how to integrate TypeScript and [`typescript-eslint`](https://typescript-eslint.io) in your project. diff --git a/frontend/eslint.config.js b/frontend/eslint.config.js new file mode 100644 index 0000000..4fa125d --- /dev/null +++ b/frontend/eslint.config.js @@ -0,0 +1,29 @@ +import js from '@eslint/js' +import globals from 'globals' +import reactHooks from 'eslint-plugin-react-hooks' +import reactRefresh from 'eslint-plugin-react-refresh' +import { defineConfig, globalIgnores } from 'eslint/config' + +export default defineConfig([ + globalIgnores(['dist']), + { + files: ['**/*.{js,jsx}'], + extends: [ + js.configs.recommended, + reactHooks.configs.flat.recommended, + reactRefresh.configs.vite, + ], + languageOptions: { + ecmaVersion: 2020, + globals: globals.browser, + parserOptions: { + ecmaVersion: 'latest', + ecmaFeatures: { jsx: true }, + sourceType: 'module', + }, + }, + rules: { + 'no-unused-vars': ['error', { varsIgnorePattern: '^[A-Z_]' }], + }, + }, +]) diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 0000000..c20fbd3 --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,13 @@ + + + + + + + frontend + + +
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a/frontend/package.json b/frontend/package.json new file mode 100644 index 0000000..c326f9e --- /dev/null +++ b/frontend/package.json @@ -0,0 +1,35 @@ +{ + "name": "frontend", + "private": true, + "version": "0.0.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "vite build", + "lint": "eslint .", + "preview": "vite preview" + }, + "dependencies": { + "@react-oauth/google": "^0.13.4", + "axios": "^1.13.4", + "framer-motion": "^12.29.2", + "lucide-react": "^0.563.0", + "react": "^19.2.0", + "react-dom": "^19.2.0", + "react-dropzone": "^14.4.0", + "react-markdown": "^10.1.0", + "react-toastify": "^11.0.5", + "react-webcam": "^7.2.0" + }, + "devDependencies": { + "@eslint/js": "^9.39.1", + "@types/react": "^19.2.5", + "@types/react-dom": "^19.2.3", + "@vitejs/plugin-react": "^5.1.1", + "eslint": "^9.39.1", + "eslint-plugin-react-hooks": "^7.0.1", + "eslint-plugin-react-refresh": "^0.4.24", + "globals": "^16.5.0", + "vite": "^7.2.4" + } +} diff --git a/frontend/public/vite.svg b/frontend/public/vite.svg new file mode 100644 index 0000000..e7b8dfb --- /dev/null +++ b/frontend/public/vite.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/src/App.css b/frontend/src/App.css new file mode 100644 index 0000000..b9d355d --- /dev/null +++ b/frontend/src/App.css @@ -0,0 +1,42 @@ +#root { + max-width: 1280px; + margin: 0 auto; + padding: 2rem; + text-align: center; +} + +.logo { + height: 6em; + padding: 1.5em; + will-change: filter; + transition: filter 300ms; +} +.logo:hover { + filter: drop-shadow(0 0 2em #646cffaa); +} +.logo.react:hover { + filter: drop-shadow(0 0 2em #61dafbaa); +} + +@keyframes logo-spin { + from { + transform: rotate(0deg); + } + to { + transform: rotate(360deg); + } +} + +@media (prefers-reduced-motion: no-preference) { + a:nth-of-type(2) .logo { + animation: logo-spin infinite 20s linear; + } +} + +.card { + padding: 2em; +} + +.read-the-docs { + color: #888; +} diff --git a/frontend/src/App.jsx b/frontend/src/App.jsx new file mode 100644 index 0000000..534a23b --- /dev/null +++ b/frontend/src/App.jsx @@ -0,0 +1,480 @@ +import React, { useState, useEffect, useRef, useCallback } from 'react'; +import axios from 'axios'; +import Webcam from 'react-webcam'; +import { motion, AnimatePresence } from 'framer-motion'; +import { Upload, Sparkles, LogIn, Utensils, Clock, Camera, Play, CheckCircle } from 'lucide-react'; +import { useDropzone } from 'react-dropzone'; +import ReactMarkdown from 'react-markdown'; +import { ToastContainer, toast } from 'react-toastify'; +import 'react-toastify/dist/ReactToastify.css'; +import { GoogleOAuthProvider, GoogleLogin } from '@react-oauth/google'; +import LoadingScreen from './components/LoadingScreen'; + +const API_URL = 'http://localhost:8000'; +const GOOGLE_CLIENT_ID = "355577889961-qmhcoo6561fiaqgv7htdlc3lhva2tilo.apps.googleusercontent.com"; + +function AppContent() { + const [token, setToken] = useState(localStorage.getItem('token')); + const [user, setUser] = useState(null); + const [notifications, setNotifications] = useState([]); + const [step, setStep] = useState(token ? 'upload' : 'login'); + const [ingredients, setIngredients] = useState([]); + const [recipes, setRecipes] = useState([]); + const [selectedRecipe, setSelectedRecipe] = useState(null); + const [finalRecipe, setFinalRecipe] = useState(null); + const [loading, setLoading] = useState(false); + const [usePantry, setUsePantry] = useState(false); + const [showCamera, setShowCamera] = useState(false); + const webcamRef = useRef(null); + + useEffect(() => { + if (token) { + const savedName = localStorage.getItem('user_name'); + setUser({ name: savedName || 'Chef' }); + } + }, [token]); + + const onDrop = async (acceptedFiles) => { + setLoading(true); + const formData = new FormData(); + formData.append('file', acceptedFiles[0]); + + try { + const res = await axios.post(`${API_URL}/upload-ingredients`, formData, { + headers: { Authorization: `Bearer ${token}` } + }); + setIngredients(res.data.ingredients); + setStep('ingredients'); + toast.success('Ingredients detected!'); + setShowCamera(false); + } catch (err) { + console.error("Upload Error:", err); + const msg = err.response?.data?.detail || 'Failed to detect ingredients'; + toast.error(`Error: ${msg}`); + } finally { + setLoading(false); + } + }; + + const capture = useCallback(() => { + // Trigger Full Screen Flash + const flash = document.getElementById('camera-flash-overlay'); + if (flash) { + flash.style.opacity = '1'; + // Play shutter sound effect if desired (optional, adding visual cues primarily) + + // Immediate UI feedback + setTimeout(() => { + flash.style.opacity = '0'; + setShowCamera(false); // Close camera immediately + toast.success('Photo captured successfully! processing...'); + }, 100); + } + + const imageSrc = webcamRef.current.getScreenshot(); + if (imageSrc) { + // Process in background + fetch(imageSrc) + .then(res => res.blob()) + .then(blob => { + const file = new File([blob], "camera-capture.jpg", { type: "image/jpeg" }); + onDrop([file]); + }); + } + }, [webcamRef]); + + const { getRootProps, getInputProps } = useDropzone({ onDrop, accept: { 'image/*': [] } }); + + const handleGoogleSuccess = async (credentialResponse) => { + setLoading(true); + try { + const res = await axios.post(`${API_URL}/auth/google`, { + id_token: credentialResponse.credential + }); + localStorage.setItem('token', res.data.access_token); + if (res.data.user) { + localStorage.setItem('user_name', res.data.user.full_name); + setUser({ name: res.data.user.full_name }); + } + setToken(res.data.access_token); + setStep('upload'); + toast.success('Signed in with Google!'); + } catch (err) { + console.error("Google Auth Error:", err); + const msg = err.response?.data?.detail || 'Google Sign-In failed'; + toast.error(msg); + } finally { + setLoading(false); + } + }; + + const generateRecipes = async (pref = '') => { + setLoading(true); + try { + const res = await axios.post(`${API_URL}/generate-recipes`, + { text: pref, use_pantry: usePantry }, + { headers: { Authorization: `Bearer ${token}` } } + ); + setRecipes(res.data.recipes); + setStep('recipes'); + } catch (err) { + toast.error('Failed to generate recipes'); + } finally { + setLoading(false); + } + }; + + const pickRecipe = async (recipe) => { + setLoading(true); + setSelectedRecipe(recipe); + try { + const res = await axios.post(`${API_URL}/select-recipe`, recipe, { + headers: { Authorization: `Bearer ${token}` } + }); + setFinalRecipe(res.data); + setStep('final'); + } catch (err) { + console.error("Video Search Error:", err); + const msg = err.response?.data?.detail || 'Failed to find video. Please try again.'; + toast.error(msg); + } finally { + setLoading(false); + } + }; + + return ( +
+ + + {/* Navbar */} + + + {/* Notifications */} + + {notifications.length > 0 && notifications.map((notif, i) => ( + + + {notif} + + ))} + + + {/* Main Content Areas */} +
+ {step === 'login' && ( +
+
+ +
+
+ +
+ +

The AI Kitchen

+

+ Where gastronomy meets intelligence.
+ Sign in to curate your menu. +

+ +
+ toast.error('Login Failed')} + theme="filled_black" + shape="pill" + text="continue_with" + /> +
+
+ )} + + {step === 'upload' && ( +
+

+ What's in your pantry? +

+

Capture your ingredients to begin the culinary journey.

+ + {!showCamera ? ( +
+
+ +
+
+ +
+
+

Upload Image

+

Drag & drop or browse

+
+
+
+ +
+
+ OR +
+
+ + +
+ ) : ( +
+
+ + {/* Vignette */} +
+ + {/* Full Screen Flash Overlay - Portal-like behavior via fixed position */} +
+
+
+ + +
+
+ )} + + +
+ )} + + {step === 'ingredients' && ( + +

+ Detected Inventory +

+
+ {ingredients.map((ing, i) => ( + +
+

{ing.name}

+
+

+ {new Date(ing.expiry).toLocaleDateString(undefined, { month: 'short', day: 'numeric' })} +

+ + ))} +
+
+
+

Chef's Preferences

+
+ + )} + + {step === 'recipes' && ( + +

+ Chef's Menu +

+
+ {recipes.map((rec, i) => ( + +
+ {rec.title} { + e.target.onerror = null; + // Fallback if the search image fails + e.target.src = "https://placehold.co/800x600?text=No+Image"; + }} + /> +
+
+ Score: {rec.health_score || 'N/A'} +
+
+
+

{rec.title}

+

"{rec.description}"

+ + {/* Nutrition Info */} + {rec.nutrition && ( +
+
+ {rec.nutrition.calories} + kcal +
+
+ {rec.nutrition.protein}g + Prot +
+
+ {rec.nutrition.carbs}g + Carb +
+
+ {rec.nutrition.fat}g + Fat +
+
+ )} + + +
+ + ))} +
+ + )} + + {step === 'final' && finalRecipe && ( +
+
+

{selectedRecipe?.title}

+
+ {finalRecipe.recipe_markdown} +
+
+
+
+ +
+ + {selectedRecipe?.nutrition && ( +
+

Nutrition Snapshot

+
+
+ Calories + {selectedRecipe.nutrition.calories} kcal +
+
+ Protein + {selectedRecipe.nutrition.protein} g +
+
+ Carbs + {selectedRecipe.nutrition.carbs} g +
+
+ Fat + {selectedRecipe.nutrition.fat} g +
+
+
+ )} + + +
+
+ )} +
+ + {loading && } +
+ ); +} + +function App() { + return ( + + + + ); +} + +export default App; diff --git a/frontend/src/assets/react.svg b/frontend/src/assets/react.svg new file mode 100644 index 0000000..6c87de9 --- /dev/null +++ b/frontend/src/assets/react.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/src/components/LoadingScreen.jsx b/frontend/src/components/LoadingScreen.jsx new file mode 100644 index 0000000..437c73d --- /dev/null +++ b/frontend/src/components/LoadingScreen.jsx @@ -0,0 +1,36 @@ +import React from 'react'; +import { motion } from 'framer-motion'; +import { Utensils } from 'lucide-react'; + +const LoadingScreen = ({ text = "Consulting the AI Chef..." }) => { + return ( +
+ {/* Minimal Pulsing Logo */} + +
+ + + + + {text} + +
+ ); +}; + +export default LoadingScreen; diff --git a/frontend/src/index.css b/frontend/src/index.css new file mode 100644 index 0000000..46c75da --- /dev/null +++ b/frontend/src/index.css @@ -0,0 +1,221 @@ +@import url('https://fonts.googleapis.com/css2?family=Playfair+Display:ital,wght@0,400;0,700;1,400&family=Plus+Jakarta+Sans:wght@300;400;500;600;700&display=swap'); + +:root { + /* Midnight Omakase Palette */ + --bg-dark: #050505; + --bg-card: rgba(15, 15, 15, 0.7); + --primary: #D4AF37; + --primary-glow: rgba(212, 175, 55, 0.2); + --secondary: #064e3b; + --accent: #ef4444; + --text-main: #fcfcfc; + --text-dim: #94a3b8; + --border: rgba(212, 175, 55, 0.12); + --glass: rgba(255, 255, 255, 0.02); +} + +::selection { + background: var(--primary); + color: #000; +} + +::-webkit-scrollbar { + width: 6px; +} + +::-webkit-scrollbar-track { + background: var(--bg-dark); +} + +::-webkit-scrollbar-thumb { + background: var(--primary); + border-radius: 10px; +} + +* { + margin: 0; + padding: 0; + box-sizing: border-box; + -webkit-font-smoothing: antialiased; +} + +body { + font-family: 'Plus Jakarta Sans', sans-serif; + background-color: var(--bg-dark); + background-image: + radial-gradient(circle at 20% 30%, rgba(212, 175, 55, 0.03) 0%, transparent 40%), + radial-gradient(circle at 80% 70%, rgba(6, 78, 59, 0.03) 0%, transparent 40%); + color: var(--text-main); + overflow-x: hidden; + min-height: 100vh; +} + +/* Analog Noise Texture */ +body::before { + content: ""; + position: fixed; + top: 0; + left: 0; + width: 100%; + height: 100%; + background: url("data:image/svg+xml,%3Csvg viewBox='0 0 200 200' xmlns='http://www.w3.org/2000/svg'%3E%3Cfilter id='noiseFilter'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.65' numOctaves='3' stitchTiles='stitch'/%3E%3C/filter%3E%3Crect width='100%25' height='100%25' filter='url(%23noiseFilter)' opacity='0.05'/%3E%3C/svg%3E"); + pointer-events: none; + z-index: 100; + opacity: 0.4; +} + +h1, +h2, +h3, +h4 { + font-family: 'Playfair Display', serif; + font-weight: 700; + letter-spacing: -0.02em; +} + +.premium-card { + background: var(--bg-card); + backdrop-filter: blur(20px); + -webkit-backdrop-filter: blur(20px); + border: 1px solid var(--border); + border-radius: 16px; + box-shadow: 0 4px 30px rgba(0, 0, 0, 0.5); + transition: all 0.5s cubic-bezier(0.2, 0.8, 0.2, 1); + position: relative; + overflow: hidden; +} + +.premium-card::after { + content: ""; + position: absolute; + top: 0; + left: -100%; + width: 200%; + height: 100%; + background: linear-gradient(90deg, + transparent, + rgba(212, 175, 55, 0.03), + transparent); + transition: 0.8s; +} + +.premium-card:hover::after { + left: 100%; +} + +.premium-card:hover { + transform: translateY(-8px) scale(1.01); + border-color: rgba(212, 175, 55, 0.3); + box-shadow: 0 20px 50px rgba(0, 0, 0, 0.7), 0 0 20px var(--primary-glow); +} + +/* Glass Card - Alias for backward compatibility if needed, or replace usages */ +.glass-card { + background: var(--bg-card); + backdrop-filter: blur(16px); + border: 1px solid var(--border); + border-radius: 1rem; +} + +.gradient-text { + background: linear-gradient(to right, #D4AF37, #FCD34D, #D4AF37); + background-size: 200% auto; + background-clip: text; + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + animation: shine 4s linear infinite; +} + +@keyframes shine { + to { + background-position: 200% center; + } +} + +.btn-primary { + background: var(--primary); + color: #000; + padding: 0.8rem 1.8rem; + border-radius: 4px; + /* Sharper edges for luxe feel */ + border: none; + font-family: 'Plus Jakarta Sans', sans-serif; + font-weight: 700; + text-transform: uppercase; + letter-spacing: 0.05em; + cursor: pointer; + transition: all 0.3s ease; + box-shadow: 0 4px 15px rgba(212, 175, 55, 0.2); +} + +.btn-primary:hover { + background: #FFD700; + transform: translateY(-2px); + box-shadow: 0 6px 20px rgba(212, 175, 55, 0.4); +} + +.btn-secondary { + background: transparent; + border: 1px solid var(--border); + color: var(--text-dim); + padding: 0.8rem 1.8rem; + border-radius: 4px; + font-weight: 600; + cursor: pointer; + transition: all 0.3s ease; +} + +.btn-secondary:hover { + border-color: var(--primary); + color: var(--primary); +} + +.input-field { + background: rgba(0, 0, 0, 0.3); + border: 1px solid var(--border); + color: var(--primary); + font-family: 'Playfair Display', serif; + padding: 1rem; + border-radius: 4px; + outline: none; + transition: all 0.3s; +} + +.input-field:focus { + border-color: var(--primary); + background: rgba(0, 0, 0, 0.5); + box-shadow: 0 0 15px rgba(212, 175, 55, 0.1); +} + +.waste-badge { + position: absolute; + top: 1rem; + right: 1rem; + background: var(--secondary); + border: 1px solid rgba(255, 255, 255, 0.1); + color: #fff; + padding: 0.3rem 0.8rem; + border-radius: 2px; + font-size: 0.75rem; + font-weight: 700; + letter-spacing: 0.05em; + text-transform: uppercase; + box-shadow: 0 4px 10px rgba(0, 0, 0, 0.2); +} + +/* Animations */ +@keyframes fadeIn { + from { + opacity: 0; + transform: translateY(10px); + } + + to { + opacity: 1; + transform: translateY(0); + } +} + +.animate-fade-in { + animation: fadeIn 0.8s cubic-bezier(0.16, 1, 0.3, 1) forwards; +} \ No newline at end of file diff --git a/frontend/src/main.jsx b/frontend/src/main.jsx new file mode 100644 index 0000000..b9a1a6d --- /dev/null +++ b/frontend/src/main.jsx @@ -0,0 +1,10 @@ +import { StrictMode } from 'react' +import { createRoot } from 'react-dom/client' +import './index.css' +import App from './App.jsx' + +createRoot(document.getElementById('root')).render( + + + , +) diff --git a/frontend/vite.config.js b/frontend/vite.config.js new file mode 100644 index 0000000..8b0f57b --- /dev/null +++ b/frontend/vite.config.js @@ -0,0 +1,7 @@ +import { defineConfig } from 'vite' +import react from '@vitejs/plugin-react' + +// https://vite.dev/config/ +export default defineConfig({ + plugins: [react()], +}) diff --git a/main.py b/main.py index 58c3fd4..62bb3a9 100644 --- a/main.py +++ b/main.py @@ -14,9 +14,9 @@ def main(): print("🚀 Starting Agentic Chef...") # 1. Vision Layer - # ingredients = getItems() - ingredients = ['eggs', 'cheese', 'chives'] # Mocking for test if EyePop isn't connected - # print(f"👀 Detected: {ingredients}") + ingredients = getItems() + # ingredients = ['eggs', 'cheese', 'chives'] # Mocking for test if EyePop isn't connected + print(f"👀 Detected: {ingredients}") # 2. Initialize Agent agent = SmartKitchenChain() diff --git a/my_agents/RecipeAgent.py b/my_agents/RecipeAgent.py index 14ceeac..8a3ab08 100644 --- a/my_agents/RecipeAgent.py +++ b/my_agents/RecipeAgent.py @@ -10,7 +10,7 @@ class SmartKitchenChain: def __init__(self): self.llm = ChatGoogleGenerativeAI( - model="gemini-2.5-flash", + model="gemini-2.5-flash-lite", api_key=os.getenv('GEMINI_API_KEY'), temperature=0.7 ) diff --git a/output/raw_eyepop.json b/output/raw_eyepop.json index b32d2a3..41224fe 100644 --- a/output/raw_eyepop.json +++ b/output/raw_eyepop.json @@ -1,80 +1,17 @@ { "classes": [ { - "category": "fruit", + "category": "container", "classId": 0, - "classLabel": "bananas", - "confidence": 0.9499, + "classLabel": "water bottle", + "confidence": 0.99, "id": 1 - }, - { - "category": "vegetable", - "classId": 1, - "classLabel": "cauliflower", - "confidence": 0.8999, - "id": 2 - }, - { - "category": "vegetable", - "classId": 2, - "classLabel": "carrots", - "confidence": 0.8999, - "id": 3 - }, - { - "category": "meat", - "classId": 3, - "classLabel": "sausages", - "confidence": 0.85, - "id": 4 - }, - { - "category": "bakery", - "classId": 4, - "classLabel": "packaged bread", - "confidence": 0.85, - "id": 5 - }, - { - "category": "dairy", - "classId": 5, - "classLabel": "packaged cheese", - "confidence": 0.8, - "id": 6 - }, - { - "category": "dairy", - "classId": 6, - "classLabel": "packaged yogurt", - "confidence": 0.8, - "id": 7 - }, - { - "category": "snacks", - "classId": 7, - "classLabel": "packaged nuts", - "confidence": 0.75, - "id": 8 - }, - { - "category": "meat", - "classId": 8, - "classLabel": "packaged meat", - "confidence": 0.75, - "id": 9 - }, - { - "category": "vegetable", - "classId": 9, - "classLabel": "packaged vegetables", - "confidence": 0.6999, - "id": 10 } ], "seconds": 0, "source_height": 1080, - "source_id": "42da4d4e-ff34-11f0-ae2c-52c4a210b0ed", + "source_id": "d59f0aee-ff4c-11f0-ae2c-52c4a210b0ed", "source_width": 1920, - "system_timestamp": 1769926052787342000, + "system_timestamp": 1769936604866096000, "timestamp": 0 } \ No newline at end of file