Create app.py

app.py

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+import streamlit as st
+import os
+from groq import Groq
+from PIL import Image
+
+# --- Initialize GROQ client ---
+client = Groq(api_key=os.getenv("GROQ_API_KEY"))
+
+# --- Streamlit Page Setup ---
+st.set_page_config(page_title="🌿 SkinSense AI", layout="centered")
+st.markdown("""
+<style>
+    .big-title {
+        font-size: 36px;
+        color: #4CAF50;
+        font-weight: bold;
+        text-align: center;
+    }
+    .section-header {
+        background-color: #f2f2f2;
+        padding: 10px;
+        border-radius: 10px;
+        margin-top: 25px;
+        font-size: 22px;
+        color: #0077b6;
+    }
+    .highlight {
+        background-color: #e7f3fe;
+        padding: 10px;
+        border-left: 5px solid #2196F3;
+        border-radius: 5px;
+    }
+    .remedy-box {
+        background-color: #fff3cd;
+        padding: 10px;
+        border-left: 5px solid #ffc107;
+        border-radius: 5px;
+    }
+    .motivation-box {
+        background-color: #d4edda;
+        padding: 10px;
+        border-left: 5px solid #28a745;
+        border-radius: 5px;
+        font-style: italic;
+        font-weight: bold;
+    }
+</style>
+<div class="big-title">🌿 SkinSense AI - Your Personal Skin Care Advisor</div>
+""", unsafe_allow_html=True)
+
+st.markdown("Welcome to **SkinSense AI** — your smart assistant for skincare advice, natural remedies, and routine tips. 💆‍♀️")
+
+# --- Input Method ---
+st.markdown('<div class="section-header">📝 How Would You Like to Start?</div>', unsafe_allow_html=True)
+input_method = st.radio("", ["📄 Text Description", "📷 Upload an Image"])
+
+# --- Input Section ---
+image = None
+user_input = ""
+if input_method == "📷 Upload an Image":
+    image = st.file_uploader("📤 Upload a clear image of your skin issue:", type=["jpg", "jpeg", "png"])
+    user_input = st.text_area("🧾 Describe the symptoms you're seeing (e.g., red spots, itching, dryness):")
+
+elif input_method == "📄 Text Description":
+    user_input = st.text_area("🧾 Describe your skin concern in your own words (e.g., acne, dark spots, rough skin):")
+
+# --- Follow-Up Questions ---
+st.markdown('<div class="section-header">🔍 Help Us Understand You Better</div>', unsafe_allow_html=True)
+age = st.slider("📊 Your Age", 10, 100, 25)
+duration = st.radio("⏳ How long has the issue been going on?", ["🆕 Less than a week", "📆 1–4 weeks", "📅 Over a month"])
+sensitivity = st.radio("🧪 Do you have sensitive skin?", ["Yes", "No", "Not Sure"])
+routine = st.radio("🧴 Do you follow any skincare routine?", ["Yes", "No"])
+
+# --- AI Processing ---
+if st.button("✨ Get My Personalized Advice"):
+    if not user_input.strip():
+        st.warning("⚠️ Please provide some description or upload an image to continue.")
+    else:
+        with st.spinner("🧠 Thinking..."):
+            prompt = f"""
+            A user reports a skin issue with the following details:
+            Age: {age}
+            Duration: {duration}
+            Sensitivity: {sensitivity}
+            Skincare Routine: {routine}
+            User's Description: {user_input}
+            Give a structured response:
+            1. 🌟 Probable Skin Issue
+            2. 📊 Global Percentage Affected
+            3. 🧴 Simple Daily Routine
+            4. 🌿 One Natural Homemade Remedy
+            5. 💡 3 Quick Lifestyle Tips
+            6. 💬 One-line Motivational Quote
+            """
+
+            response = client.chat.completions.create(
+                model="llama3-70b-8192",
+                messages=[{"role": "user", "content": prompt}]
+            )
+
+            result = response.choices[0].message.content.strip()
+
+        # --- Display Result ---
+        st.markdown('<div class="section-header">📋 Your Personalized Skin Plan</div>', unsafe_allow_html=True)
+        if image:
+            st.image(image, caption="📸 Your Uploaded Image", use_container_width=True)
+
+        # --- Split the AI response into parts ---
+        lines = result.split("\n")
+        current_section = ""
+        for line in lines:
+            if line.strip().startswith("🌟"):
+                st.markdown(f'<div class="highlight">{line}</div>', unsafe_allow_html=True)
+            elif line.strip().startswith("📊"):
+                st.markdown(f'<div class="highlight">{line}</div>', unsafe_allow_html=True)
+            elif line.strip().startswith("🧴"):
+                st.markdown(f'<div class="highlight">{line}</div>', unsafe_allow_html=True)
+            elif line.strip().startswith("🌿"):
+                st.markdown(f'<div class="remedy-box">{line}</div>', unsafe_allow_html=True)
+            elif line.strip().startswith("💡"):
+                st.markdown(f'<div class="highlight">{line}</div>', unsafe_allow_html=True)
+            elif line.strip().startswith("💬"):
+                st.markdown(f'<div class="motivation-box">{line}</div>', unsafe_allow_html=True)
+            else:
+                st.markdown(line)
+
+        st.success("🎉 You're one step closer to healthier skin!")
+
+# --- Sidebar ---
+st.sidebar.title("🚀 What's Coming Next?")
+st.sidebar.info("""
+🔹 AI-powered progress tracking  
+🔹 Ingredient safety checker  
+🔹 Smart reminders for your routine  
+🔹 PDF report export  
+""")
+