Upload app (1).py

app (1).py

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+import streamlit as st
+from dotenv import load_dotenv
+from langchain_groq import ChatGroq
+import os
+import importlib.util
+
+# Check if team_info module exists and import it
+try:
+    import team_info
+    has_team_info = True
+except ImportError:
+    has_team_info = False
+
+# Load environment variables
+load_dotenv()
+
+# Initialize the model
+model = ChatGroq(model="llama3-8b-8192")
+
+# Function to calculate daily calorie requirements
+def calculate_calorie_requirements(age, gender, weight, height, fitness_goal):
+    if gender == "Male":
+        bmr = 10 * weight + 6.25 * height - 5 * age + 5
+    else:
+        bmr = 10 * weight + 6.25 * height - 5 * age - 161
+
+    if fitness_goal == "Weight Loss":
+        return bmr * 1.2
+    elif fitness_goal == "Weight Gain":
+        return bmr * 1.5
+    else:
+        return bmr * 1.375
+
+# Function to generate the plan
+def generate_plan_with_prompt(metrics, prompt_template):
+    prompt = prompt_template.format(**metrics)
+    response = model.invoke(prompt)
+    return response
+
+# Function to format the response neatly
+def format_plan(response):
+    try:
+        content = response.content
+        sections = content.split("\n\n")
+        formatted = ""
+        for section in sections:
+            formatted += f"**{section.strip()}**\n\n"
+        return formatted
+    except Exception as e:
+        return f"Error formatting plan: {e}"
+
+# Ayurvedic prompt template
+ayurveda_prompt_template = """
+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}).
+
+Fitness Goal: {fitness_goal}.
+Daily Calorie Requirement: {daily_calories} kcal.
+Dietary Preference: {dietary_preference}.
+Food Allergies: {food_allergies}.
+Local Cuisine: {local_cuisine}.
+Month: {month}.
+Ayurvedic Consideration: True
+
+Plan should include:
+1. A daily diet plan with meal timings, calorie details, and meal alternatives.
+2. Exercise routines based on goals, incorporating cardio, strength, and flexibility.
+3. Dynamic plan adjustments based on month and local cuisine preferences.
+4. Wearable integration for tracking steps, heart rate, and calorie burn.
+5. Progress monitoring for daily calorie burn and weight tracking.
+6. **Food Delivery Integration**:
+   - Meal suggestions based on diet plans.
+   - Integration with food delivery platforms (Uber Eats, DoorDash).
+   - Searching menu items that fit calorie and dietary preferences.
+   - Multi-restaurant meal aggregation for complete diet fulfillment.
+   - Location-based meal recommendations.
+   - Customizable meal delivery schedules.
+7. **Ayurvedic Elements**:
+   - Dosha assessment based on provided metrics.
+   - Ayurvedic dietary recommendations aligned with your dosha type.
+   - Seasonal herbs and spices for balance.
+   - Daily routines (Dinacharya) for optimal health.
+   - Natural remedies complementing modern medicine.
+
+Provide a detailed plan for each weekday: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday.
+
+Return output as:
+Day: {{weekday}}
+  - Breakfast: Time, Description, Calories, Ayurvedic Properties
+  - Lunch: Time, Description, Calories, Ayurvedic Properties
+  - Snacks: Time, Description, Calories, Ayurvedic Properties
+  - Dinner: Time, Description, Calories, Ayurvedic Properties
+  - Exercise: Description, Duration, Dosha Benefits
+  - Wearable Tracking: Steps, Heart Rate, Calories Burned
+  - Progress Monitoring: Daily calorie intake vs. burn.
+  - Food Delivery: Suggested meal items and delivery options.
+  - Ayurvedic Tips: Daily wellness practices based on dosha.
+"""
+
+# Regular prompt template
+regular_prompt_template = """
+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}).
+
+Fitness Goal: {fitness_goal}.
+Daily Calorie Requirement: {daily_calories} kcal.
+Dietary Preference: {dietary_preference}.
+Food Allergies: {food_allergies}.
+Local Cuisine: {local_cuisine}.
+Month: {month}.
+
+Plan should include:
+1. A daily diet plan with meal timings, calorie details, and meal alternatives.
+2. Exercise routines based on goals, incorporating cardio, strength, and flexibility.
+3. Dynamic plan adjustments based on month and local cuisine preferences.
+4. Wearable integration for tracking steps, heart rate, and calorie burn.
+5. Progress monitoring for daily calorie burn and weight tracking.
+6. **Food Delivery Integration**:
+   - Meal suggestions based on diet plans.
+   - Integration with food delivery platforms (Uber Eats, DoorDash).
+   - Searching menu items that fit calorie and dietary preferences.
+   - Multi-restaurant meal aggregation for complete diet fulfillment.
+   - Location-based meal recommendations.
+   - Customizable meal delivery schedules.
+
+Provide a detailed plan for each weekday: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday.
+
+Return output as:
+Day: {{weekday}}
+  - Breakfast: Time, Description, Calories
+  - Lunch: Time, Description, Calories
+  - Snacks: Time, Description, Calories
+  - Dinner: Time, Description, Calories
+  - Exercise: Description, Duration
+  - Wearable Tracking: Steps, Heart Rate, Calories Burned
+  - Progress Monitoring: Daily calorie intake vs. burn.
+  - Food Delivery: Suggested meal items and delivery options.
+"""
+
+# Streamlit app
+st.title("AI-Based Personalized Weekly Diet and Exercise Planner")
+
+# Add sidebar with team information
+with st.sidebar:
+    st.header("About this Project")
+    st.write("Integration of Ayurveda and modern medical science for comprehensive wellness insights")
+    
+    if has_team_info:
+        st.subheader("Team Members")
+        st.markdown("- Aditi Soni [LinkedIn](https://www.linkedin.com/in/aditi-soni-259813285/)")
+        st.markdown("- Bhumika Patel [LinkedIn](https://www.linkedin.com/in/bhumika-patel-ml/)")
+        st.markdown("- Aditi Lakhera [LinkedIn](https://www.linkedin.com/in/aditi-lakhera-b628802bb/)")
+        st.markdown("- Anushri Tiwari [LinkedIn](https://www.linkedin.com/in/anushri-tiwari-916494300 )")
+
+        
+        st.subheader("Project Links")
+        st.markdown("[GitHub Repository](https://github.com/Abs6187/AI_Health_v2)")
+        st.markdown("[Presentation](https://github.com/Abs6187/AI_Health_v2/blob/main/HackGirl_PPT_HackSRIT.pptx)")
+        st.markdown("[Hackathon](https://unstop.com/hackathons/hacksrit-shri-ram-group-of-institutions-jabalpur-1471613)")
+
+# Input fields
+st.header("Enter Your Details")
+name = st.text_input("Name")
+age = st.number_input("Age", min_value=1, value=25)
+weight = st.number_input("Weight (kg)", min_value=1, value=70)
+height = st.number_input("Height (cm)", min_value=1, value=170)
+gender = st.selectbox("Gender", options=["Male", "Female", "Other"])
+fitness_goal = st.selectbox("Fitness Goal", options=["Weight Loss", "Weight Gain", "Maintenance"])
+dietary_preference = st.selectbox("Dietary Preference", options=["Vegetarian", "Vegan", "Keto", "Halal", "None"])
+food_allergies = st.text_input("Food Allergies (if any)")
+local_cuisine = st.text_input("Preferred Local Cuisine (e.g., Indian, Italian, Chinese)")
+month = st.selectbox("Select Month", options=["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"])
+
+# New option for Ayurvedic integration
+include_ayurveda = st.checkbox("Include Ayurvedic wellness insights", value=True)
+
+bmi = round(weight / (height / 100) ** 2, 2)
+health_status = "Underweight" if bmi < 18.5 else "Normal weight" if bmi <= 24.9 else "Overweight"
+daily_calories = calculate_calorie_requirements(age, gender, weight, height, fitness_goal)
+
+st.write(f"Your BMI is {bmi}, which indicates {health_status}.")
+st.write(f"Your daily calorie requirement is approximately {int(daily_calories)} kcal.")
+
+# User metrics
+metrics = {
+    "name": name,
+    "age": age,
+    "gender": gender,
+    "bmi": bmi,
+    "health_status": health_status,
+    "fitness_goal": fitness_goal,
+    "dietary_preference": dietary_preference,
+    "food_allergies": food_allergies,
+    "daily_calories": int(daily_calories),
+    "local_cuisine": local_cuisine,
+    "weekdays": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"],
+    "month": month,
+}
+
+# Generate and display plan
+if st.button("Generate Plan"):
+    with st.spinner("Generating your plan..."):
+        try:
+            # Choose the appropriate prompt based on the Ayurveda option
+            selected_prompt = ayurveda_prompt_template if include_ayurveda else regular_prompt_template
+            plan = generate_plan_with_prompt(metrics, selected_prompt)
+            formatted_plan = format_plan(plan)
+            
+            plan_title = "Integrated Ayurvedic & Modern Diet and Exercise Plan" if include_ayurveda else "Diet and Exercise Plan"
+            st.header(f"Generated {plan_title} for {month}")
+            st.markdown(formatted_plan)
+        except Exception as e:
+            st.error(f"Error generating the plan: {e}")
+