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Browse files- app.py +82 -5
- team_info.py +22 -0
app.py
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import streamlit as st
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from dotenv import load_dotenv
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from langchain_groq import ChatGroq
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import os
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# Load environment variables
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load_dotenv()
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@@ -42,8 +49,55 @@ def format_plan(response):
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except Exception as e:
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return f"Error formatting plan: {e}"
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#
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You are a health expert. Generate a personalized weekly diet and exercise plan for {name}, a {age}-year-old {gender} with a BMI of {bmi} ({health_status}).
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Fitness Goal: {fitness_goal}.
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@@ -84,6 +138,22 @@ Day: {{weekday}}
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# Streamlit app
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st.title("AI-Based Personalized Weekly Diet and Exercise Planner")
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# Input fields
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st.header("Enter Your Details")
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name = st.text_input("Name")
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@@ -97,6 +167,9 @@ food_allergies = st.text_input("Food Allergies (if any)")
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local_cuisine = st.text_input("Preferred Local Cuisine (e.g., Indian, Italian, Chinese)")
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month = st.selectbox("Select Month", options=["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"])
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bmi = round(weight / (height / 100) ** 2, 2)
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health_status = "Underweight" if bmi < 18.5 else "Normal weight" if bmi <= 24.9 else "Overweight"
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daily_calories = calculate_calorie_requirements(age, gender, weight, height, fitness_goal)
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if st.button("Generate Plan"):
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with st.spinner("Generating your plan..."):
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try:
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formatted_plan = format_plan(plan)
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st.markdown(formatted_plan)
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except Exception as e:
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st.error(f"Error generating the plan: {e}")
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import streamlit as st
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from dotenv import load_dotenv
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from langchain_groq import ChatGroq
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import os
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import importlib.util
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# Check if team_info module exists and import it
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try:
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import team_info
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has_team_info = True
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except ImportError:
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has_team_info = False
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# Load environment variables
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load_dotenv()
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except Exception as e:
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return f"Error formatting plan: {e}"
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# Ayurvedic prompt template
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ayurveda_prompt_template = """
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You are a health expert specialized in both modern medicine and Ayurveda. Generate a personalized weekly diet and exercise plan for {name}, a {age}-year-old {gender} with a BMI of {bmi} ({health_status}).
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Fitness Goal: {fitness_goal}.
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Daily Calorie Requirement: {daily_calories} kcal.
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Dietary Preference: {dietary_preference}.
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Food Allergies: {food_allergies}.
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Local Cuisine: {local_cuisine}.
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Month: {month}.
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Ayurvedic Consideration: True
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Plan should include:
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1. A daily diet plan with meal timings, calorie details, and meal alternatives.
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2. Exercise routines based on goals, incorporating cardio, strength, and flexibility.
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3. Dynamic plan adjustments based on month and local cuisine preferences.
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4. Wearable integration for tracking steps, heart rate, and calorie burn.
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5. Progress monitoring for daily calorie burn and weight tracking.
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6. **Food Delivery Integration**:
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- Meal suggestions based on diet plans.
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- Integration with food delivery platforms (Uber Eats, DoorDash).
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- Searching menu items that fit calorie and dietary preferences.
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- Multi-restaurant meal aggregation for complete diet fulfillment.
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- Location-based meal recommendations.
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- Customizable meal delivery schedules.
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7. **Ayurvedic Elements**:
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- Dosha assessment based on provided metrics.
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- Ayurvedic dietary recommendations aligned with your dosha type.
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- Seasonal herbs and spices for balance.
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- Daily routines (Dinacharya) for optimal health.
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- Natural remedies complementing modern medicine.
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Provide a detailed plan for each weekday: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday.
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Return output as:
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Day: {{weekday}}
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- Breakfast: Time, Description, Calories, Ayurvedic Properties
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- Lunch: Time, Description, Calories, Ayurvedic Properties
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- Snacks: Time, Description, Calories, Ayurvedic Properties
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- Dinner: Time, Description, Calories, Ayurvedic Properties
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- Exercise: Description, Duration, Dosha Benefits
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- Wearable Tracking: Steps, Heart Rate, Calories Burned
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- Progress Monitoring: Daily calorie intake vs. burn.
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- Food Delivery: Suggested meal items and delivery options.
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- Ayurvedic Tips: Daily wellness practices based on dosha.
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"""
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# Regular prompt template
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regular_prompt_template = """
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You are a health expert. Generate a personalized weekly diet and exercise plan for {name}, a {age}-year-old {gender} with a BMI of {bmi} ({health_status}).
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Fitness Goal: {fitness_goal}.
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# Streamlit app
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st.title("AI-Based Personalized Weekly Diet and Exercise Planner")
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# Add sidebar with team information
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with st.sidebar:
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st.header("About this Project")
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st.write("Integration of Ayurveda and modern medical science for comprehensive wellness insights")
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if has_team_info:
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st.subheader("Team Members")
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st.markdown("- Aditi Soni [LinkedIn](https://www.linkedin.com/in/aditi-soni-259813285/)")
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st.markdown("- Bhumika Patel [LinkedIn](https://www.linkedin.com/in/bhumika-patel-ml/)")
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st.markdown("- Aditi Lakhera [LinkedIn](https://www.linkedin.com/in/aditi-lakhera-b628802bb/)")
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st.subheader("Project Links")
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st.markdown("[GitHub Repository](https://github.com/Abs6187/AI_Health_v2)")
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st.markdown("[Presentation](https://github.com/Abs6187/AI_Health_v2/blob/main/HackGirl_PPT_HackSRIT.pptx)")
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st.markdown("[Hackathon](https://unstop.com/hackathons/hacksrit-shri-ram-group-of-institutions-jabalpur-1471613)")
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# Input fields
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st.header("Enter Your Details")
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name = st.text_input("Name")
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local_cuisine = st.text_input("Preferred Local Cuisine (e.g., Indian, Italian, Chinese)")
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month = st.selectbox("Select Month", options=["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"])
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# New option for Ayurvedic integration
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include_ayurveda = st.checkbox("Include Ayurvedic wellness insights", value=True)
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bmi = round(weight / (height / 100) ** 2, 2)
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health_status = "Underweight" if bmi < 18.5 else "Normal weight" if bmi <= 24.9 else "Overweight"
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daily_calories = calculate_calorie_requirements(age, gender, weight, height, fitness_goal)
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if st.button("Generate Plan"):
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with st.spinner("Generating your plan..."):
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try:
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# Choose the appropriate prompt based on the Ayurveda option
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selected_prompt = ayurveda_prompt_template if include_ayurveda else regular_prompt_template
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plan = generate_plan_with_prompt(metrics, selected_prompt)
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formatted_plan = format_plan(plan)
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plan_title = "Integrated Ayurvedic & Modern Diet and Exercise Plan" if include_ayurveda else "Diet and Exercise Plan"
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st.header(f"Generated {plan_title} for {month}")
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st.markdown(formatted_plan)
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except Exception as e:
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st.error(f"Error generating the plan: {e}")
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team_info.py
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"""
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Team Information and Project Details for AI Health Advisor
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Integration of Ayurveda and modern medical science for comprehensive wellness insights.
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Team Members:
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- Aditi Soni @https://www.linkedin.com/in/aditi-soni-259813285/
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- Bhumika Patel @https://www.linkedin.com/in/bhumika-patel-ml/
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- Aditi Lakhera @https://www.linkedin.com/in/aditi-lakhera-b628802bb/
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Project Links:
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- Github Repository: https://github.com/Abs6187/AI_Health_v2
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- Presentation: https://github.com/Abs6187/AI_Health_v2/blob/main/HackGirl_PPT_HackSRIT.pptx
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- Hackathon: https://unstop.com/hackathons/hacksrit-shri-ram-group-of-institutions-jabalpur-1471613
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Future Integration Plans:
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- Enhanced Ayurvedic insights based on user health metrics
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- Personalized doshas assessment and recommendations
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- Integration of seasonal herbs and spices based on Ayurvedic principles
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- Modern medical validations for traditional recommendations
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- Holistic wellness tracking with combined approaches
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"""
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