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.env

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+GOOGLE_API_KEY="AIzaSyDYaELCHIBCrMqOylBMumTyDtHwd4KgyzM"
+

app.py

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+import streamlit as st
+from nutrition_agent import nutrition_agent
+from PIL import Image
+import requests
+from io import BytesIO
+import google.generativeai as genai
+import os
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
+genai.configure(api_key=GOOGLE_API_KEY)
+
+st.set_page_config(page_title="Smartest AI Nutrition Assistant", layout="wide")
+
+st.title("🥗 Smartest AI Nutrition Assistant")
+
+# Tabs
+tab1, tab2 = st.tabs(["📋 Get Personalized Diet Plan", "📷 Image-Based Nutrition Analysis"])
+
+# ---------------- Tab 1: Personalized Diet Plan ----------------
+with tab1:
+    st.subheader("📋 Fill the Form to Get Your Personalized Diet Plan")
+
+    with st.form("diet_form"):
+        name = st.text_input("What is your name?")
+        age = st.text_input("Age")
+        gender = st.selectbox("Gender", ["Male", "Female", "Other"])
+        diet_type = st.selectbox("Are you Vegetarian or Non-Vegetarian?", ["Vegetarian", "Non-Vegetarian"])
+        location = st.text_input("Geographical Location (e.g., India, US)")
+        health_issues = st.text_input("Any existing health complaints?")
+        health_goals = st.text_input("Your health/fitness goals?")
+        likes = st.text_input("Foods you like")
+        dislikes = st.text_input("Foods you dislike")
+        calories = st.text_input("Approximate daily calorie requirement (if known)")
+
+        submitted = st.form_submit_button("Generate Diet Plan")
+
+    if submitted:
+        user_profile = (
+            f"My name is {name}. I am {age} years old, {gender}, {diet_type}, living in {location}. "
+            f"I have the following health issues: {health_issues}. "
+            f"My goal is to {health_goals}. I like eating {likes} but dislike {dislikes}. "
+            f"My daily calorie need is {calories}. "
+            "Please generate a personalized meal plan broken into breakfast, lunch, snacks, dinner. "
+            "Also include a clear explanation of nutritional content and a conclusion for health advice."
+        )
+
+        with st.spinner("Generating your personalized meal plan..."):
+            result = nutrition_agent.run(user_profile)
+
+    # Clean output
+            if result:
+                if isinstance(result, str):
+                    st.markdown(result)
+                elif hasattr(result, 'content'):
+                    st.markdown(result.content)
+                else:
+                    st.write(result)
+
+
+# ---------------- Tab 2: Image-Based Nutrition Analysis ----------------
+with tab2:
+    st.subheader("📷 Upload or Paste a Food Image(JPG/JPEG/PNG only) URL")
+
+    image = None  # Initialize image variable
+    image_input_type = st.radio("Choose input method:", ["Upload Image", "Paste Image URL"])
+
+    if image_input_type == "Upload Image":
+        uploaded_file = st.file_uploader("Upload a food image", type=["png", "jpg", "jpeg"])
+        if uploaded_file:
+            try:
+                image = Image.open(uploaded_file)
+            except Exception as e:
+                st.error(f"Error opening image: {e}")
+    else:
+        image_url = st.text_input("Enter image URL")
+        if image_url:
+            try:
+                response = requests.get(image_url)
+                response.raise_for_status()
+                image = Image.open(BytesIO(response.content))
+            except Exception as e:
+                st.error(f"Error loading image: {e}")
+
+    if image is not None:
+        st.image(image, caption="Selected Image", use_column_width=True)
+
+        if st.button("Analyze Nutrition"):
+            prompt = (
+                "Analyze the nutritional content of the food shown in this image. "
+                "Identify the type of food, estimate calories, and mention if it is healthy or not."
+            )
+            try:
+                model = genai.GenerativeModel('gemini-2.5-flash-preview-04-17')
+                with st.spinner("Analyzing image..."):
+                    result = model.generate_content([prompt, image])
+                st.markdown("### 🧠 Nutrition Analysis Result")
+                st.markdown(result.text)
+            except Exception as e:
+                st.error(f"Failed to analyze image: {e}")
+    else:
+        st.info("Please upload an image or paste a valid image URL to analyze.")

nutrition_agent.py

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+from phi.agent import Agent
+from phi.model.google import Gemini
+import os
+from phi.tools.duckduckgo import DuckDuckGo
+from dotenv import load_dotenv
+import google.generativeai as genai
+
+# Load  API key
+load_dotenv()
+
+
+
+
+# Define the nutrition assistant agent
+nutrition_agent = Agent(
+    name="nutrition_agent",
+    model=Gemini(id="gemini-2.5-flash-preview-04-17"),
+    #gemini-2.5-pro-exp-03-25
+    #gemini-2.5-pro-preview-05-06
+    tools=[DuckDuckGo()],
+
+    instructions=[
+        "You are the smartest AI Nutrition Assistant. ",
+        "Ask the user for their name, age, gender, dietary preference (veg/non-veg), location, "
+        "health complaints, fitness goals, food likes/dislikes, and calorie needs. "
+        "Then provide a detailed personalized diet plan (breakfast/lunch/dinner) "
+        "along with clear nutritional explanations tailored to their inputs.",
+    "Always respond in well-structured markdown format using clear headings like ### Breakfast, ### Lunch, etc.",
+        "Do not generate one big paragraph. Instead, use bullet points, headings, and whitespace for clarity."
+
+    ],
+    show_tool_calls=True,
+    markdown=True
+)

requirements.txt

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+#Virtual Environment Creation:
+py -3.11 -m venv myenv
+.\myenv\Scripts\activate
+
+#Install all the dependencies:
+1. pip install google-generativeai==0.4.0 Pillow==10.3.0 opencv-python==4.9.0.80 numpy==1.26.4 duckduckgo-search==4.4
+2. pip install streamlit==1.34.0 rich==13.7.1 python-dotenv==1.0.1 requests==2.31.0 phi==0.1.95 phidata==0.2.20
+3. pip install --upgrade phi google-generativeai
+4. pip install phidata
+
+To run the app.py:
+
+1. streamlit run app.py 
+2. if streamlit run app.py is not recongnised, Please  do 
+	pip install streamlit 
+	streamlit run app.py