From 6a4f42aac77eb15738bdb6cb1b822c6326f8b2cf Mon Sep 17 00:00:00 2001 From: pliny <133052465+elder-plinius@users.noreply.github.com> Date: Thu, 23 Nov 2023 16:18:53 -0800 Subject: [PATCH 1/2] Create nutrition.py --- playground/demos/nutrition/nutrition.py | 99 +++++++++++++++++++++++++ 1 file changed, 99 insertions(+) create mode 100644 playground/demos/nutrition/nutrition.py diff --git a/playground/demos/nutrition/nutrition.py b/playground/demos/nutrition/nutrition.py new file mode 100644 index 00000000..41ff2995 --- /dev/null +++ b/playground/demos/nutrition/nutrition.py @@ -0,0 +1,99 @@ +import os +import base64 +import requests +from dotenv import load_dotenv +from swarms.models import Anthropic, OpenAIChat +from swarms.structs import Flow + +# Load environment variables +load_dotenv() +openai_api_key = os.getenv("OPENAI_API_KEY") + +# Define prompts for various tasks +MEAL_PLAN_PROMPT = "Based on the following user preferences: dietary restrictions as vegetarian, preferred cuisines as Italian and Indian, a total caloric intake of around 2000 calories per day, and an exclusion of legumes, create a detailed weekly meal plan. Include a variety of meals for breakfast, lunch, dinner, and optional snacks." +IMAGE_ANALYSIS_PROMPT = "Identify the items in this fridge, including their quantities and condition." + +# Function to encode image to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Initialize Language Model (LLM) +llm = OpenAIChat( + openai_api_key=openai_api_key, + max_tokens=3000, +) + +# Function to handle vision tasks +def create_vision_agent(image_path): + base64_image = encode_image(image_path) + headers = { + "Content-Type": "application/json", + "Authorization": f"Bearer {openai_api_key}" + } + payload = { + "model": "gpt-4-vision-preview", + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": IMAGE_ANALYSIS_PROMPT}, + {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{base64_image}"}} + ] + } + ], + "max_tokens": 300 + } + response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload) + return response.json() + +# Function to generate an integrated shopping list considering meal plan and fridge contents +def generate_integrated_shopping_list(meal_plan_output, image_analysis, user_preferences): + # Prepare the prompt for the LLM + fridge_contents = image_analysis['choices'][0]['message']['content'] + prompt = (f"Based on this meal plan: {meal_plan_output}, " + f"and the following items in the fridge: {fridge_contents}, " + f"considering dietary preferences as vegetarian with a preference for Italian and Indian cuisines, " + f"generate a comprehensive shopping list that includes only the items needed.") + + # Send the prompt to the LLM and return the response + response = llm(prompt) + return response # assuming the response is a string + +# Define agent for meal planning +meal_plan_agent = Flow( + llm=llm, + sop=MEAL_PLAN_PROMPT, + max_loops=1, + autosave=True, + saved_state_path="meal_plan_agent.json", +) + +# User preferences for meal planning +user_preferences = { + "dietary_restrictions": "vegetarian", + "preferred_cuisines": ["Italian", "Indian"], + "caloric_intake": 2000, + "other notes": "Doesn't eat legumes" +} + +# Generate Meal Plan +meal_plan_output = meal_plan_agent.run( + f"Generate a meal plan: {user_preferences}" +) + +# Vision Agent - Analyze an Image +image_analysis_output = create_vision_agent("full_fridge.jpg") + +# Generate Integrated Shopping List +integrated_shopping_list = generate_integrated_shopping_list(meal_plan_output, image_analysis_output, user_preferences) + +# Print and save the outputs +print("Meal Plan:", meal_plan_output) +print("Integrated Shopping List:", integrated_shopping_list) + +with open("nutrition_output.txt", "w") as file: + file.write("Meal Plan:\n" + meal_plan_output + "\n\n") + file.write("Integrated Shopping List:\n" + integrated_shopping_list + "\n") + +print("Outputs have been saved to 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