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app.py

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+from dotenv import load_dotenv
+import streamlit as st
+import os
+import google.generativeai as genai
+import time
+load_dotenv()
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+st.set_page_config(
+    page_title="Theaimart",
+    page_icon="ico.jpeg",
+    layout="wide",
+    initial_sidebar_state="expanded"
+)
+
+st.markdown("""
+    <style>
+        /* Main background and text colors */
+        .stApp {
+            background-color: #1a1a1a;
+            color: #ffffff;
+        }
+
+        /* Buttons */
+        .stButton>button {
+            background-color: #FF4B4B;
+            color: white;
+            border-radius: 8px;
+            padding: 0.5rem 1rem;
+            border: none;
+            transition: all 0.3s ease;
+        }
+        .stButton>button:hover {
+            background-color: #FF6B6B;
+            transform: translateY(-2px);
+            box-shadow: 0 4px 12px rgba(255, 75, 75, 0.2);
+        }
+
+        /* Headers */
+        h1, h2, h3 {
+            color: #FF4B4B !important;
+            font-weight: 600;
+        }
+
+        /* File uploader */
+        .uploadedFile {
+            background-color: #2d2d2d !important;
+            border-radius: 8px;
+            padding: 1rem;
+            border: 2px dashed #FF4B4B;
+        }
+
+        /* Select boxes */
+        .stSelectbox {
+            background-color: #2d2d2d;
+            border-radius: 8px;
+            color: white;
+        }
+
+        /* Text inputs */
+        .stTextInput>div>div>input {
+            background-color: #2d2d2d;
+            color: white;
+            border-radius: 8px;
+            border: 1px solid #FF4B4B;
+        }
+
+        /* Cards */
+        .css-1r6slb0 {
+            background-color: #2d2d2d;
+            border-radius: 10px;
+            padding: 1.5rem;
+            box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
+        }
+
+        /* Multiselect */
+        .stMultiSelect {
+            background-color: #2d2d2d;
+            border-radius: 8px;
+        }
+
+        /* Success messages */
+        .success {
+            padding: 1rem;
+            border-radius: 8px;
+            background-color: #1e4620;
+            border-left: 4px solid #4CAF50;
+        }
+
+        /* Warning messages */
+        .warning {
+            padding: 1rem;
+            border-radius: 8px;
+            background-color: #332b1b;
+            border-left: 4px solid #FFC107;
+        }
+
+        /* Redirect message */
+        .redirect-message {
+            position: fixed;
+            bottom: 20px;
+            right: 20px;
+            background-color: #2d2d2d;
+            padding: 1rem;
+            border-radius: 8px;
+            box-shadow: 0 4px 12px rgba(0, 0, 0, 0.2);
+            z-index: 1000;
+        }
+        .social-links a {
+            display: block;
+            margin: 0.5rem 0;
+            padding: 0.8rem 1.2rem;
+            color: white;
+            text-decoration: none;
+            border-radius: 8px;
+            text-align: center;
+            font-weight: bold;
+            background-color: #FF4B4B; /* Button background */
+            transition: all 0.3s ease;
+        }
+        .social-links a:hover {
+            background-color: #FF6B6B; /* Hover effect */
+            transform: translateY(-3px);
+            box-shadow: 0 4px 12px rgba(255, 75, 75, 0.3);
+        }
+    
+    </style>
+""", unsafe_allow_html=True)
+
+
+def input_image_setup(uploaded_file):
+    if uploaded_file is not None:
+        bytes_data = uploaded_file.getvalue()
+        image_parts = [
+            {
+                "mime_type": uploaded_file.type,
+                "data": bytes_data
+            }
+        ]
+        return image_parts
+    else:
+        raise FileNotFoundError("No file uploaded")
+
+
+def get_fashion_analysis(image, prompt):
+    try:
+        model = genai.GenerativeModel('gemini-1.5-flash')
+        if image:
+            response = model.generate_content([image[0], prompt])
+        else:
+            response = model.generate_content([prompt])
+        return response.text
+    except Exception as e:
+        st.error(f"Analysis failed: {str(e)}")
+        return None
+
+
+with st.sidebar:
+    st.image("ico.jpeg", width=100)
+    st.title("FashChat Settings")
+
+    accent_color = st.color_picker("Accent Color", "#FF4B4B")
+    st.markdown("---")
+    st.markdown("### About FashChat")
+    st.markdown(
+        "Your AI-powered fashion analysis companion. Get instant insights on outfits, makeup, and celebrity styles.")
+
+    st.markdown("---")
+    st.markdown("v1.0.0 | Made with ❤️ by theaimart")
+
+st.title("FashChat: Your Fashion AI Companion")
+
+analysis_type = st.tabs(["Outfit Analyzer"])
+
+with analysis_type[0]:
+    st.header("🎭 Outfit Analysis")
+
+    col1, col2 = st.columns([2, 1])
+
+    with col1:
+        uploaded_file = st.file_uploader(
+            "Drop your outfit image here",
+            type=["jpg", "jpeg", "png"],
+            help="Upload a clear, full-body image for best results"
+        )
+
+        if uploaded_file:
+            st.image(uploaded_file, use_column_width=True)
+
+    with col2:
+        prompt = st.text_area("Analysis Focus (optional)",
+                              placeholder="E.g., 'Analyze the color coordination' or 'Suggest improvements'")
+
+        analysis_options = st.multiselect(
+            "Analysis Aspects",
+            [
+                "🎨 Color Harmony",
+                "📏 Fit Analysis",
+                "🎯 Style Recommendations",
+                "🛍️ Shopping Suggestions",
+                "🔄 Mix & Match Ideas"
+            ],
+            default=["🎨 Color Harmony"]
+        )
+
+        analyze_button = st.button("✨ Analyze Outfit", type="primary")
+
+    if analyze_button and uploaded_file:
+        with st.spinner("Analyzing your outfit..."):
+            try:
+                image_data = input_image_setup(uploaded_file)
+                input_prompt = f"""
+                As a fashion expert, provide a detailed analysis of this outfit:
+
+                Focus areas:
+                {', '.join(analysis_options)}
+
+                Additional context:
+                {prompt if prompt else 'Provide general style analysis'}
+
+                Please structure the analysis with clear headings and bullet points.
+                """
+
+                response = get_fashion_analysis(image=image_data, prompt=input_prompt)
+
+                st.markdown("### 📋 Analysis Results")
+                st.markdown(response)
+
+                st.markdown("""
+                    <div class='success'>
+                        Analysis completed successfully! Save or share your results.
+                    </div>
+                """, unsafe_allow_html=True)
+
+                st.markdown("""
+                    <div class='redirect-message'>
+                        FashChat by theaimart
+                    </div>
+                """, unsafe_allow_html=True)
+
+                time.sleep(3)
+
+            except Exception as e:
+                st.error(f"Analysis failed: {str(e)}")
+# Footer
+st.markdown("---")
+col1, col2, col3 = st.columns(3)
+with col1:
+    st.markdown("### 📱 Connect")
+    st.markdown("[Instagram](https://instagram.com)")
+    st.markdown("[Youtube](https://www.youtube.com/@theaimartofficial)")

requirements.txt

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+streamlit
+google-generativeai
+python-dotenv
+langchain
+langchain_google_genai
+Pillow