Update app.py

app.py

@@ -1,233 +1,101 @@
 import streamlit as st
 import google.generativeai as genai
-import os
-import config
 import json
 import time
-from filter import is_solar_related  # Import the solar query filter
+from filter import is_solar_related
 
 # Configure Gemini API
-genai.configure(api_key=config.API_KEY)
+genai.configure(api_key="YOUR_API_KEY")
 
 def get_ai_response(user_input):
-    model = genai.GenerativeModel("gemini-pro")  # Using Gemini Pro model
+    model = genai.GenerativeModel("gemini-pro")
     response = model.generate_content(user_input)
     return response.text if hasattr(response, "text") else "Error fetching response"
 
-# Set page config
+# Page config
 st.set_page_config(
     page_title="Solar Industry AI Assistant",
     page_icon="☀️",
-    layout="wide",
-    initial_sidebar_state="expanded"
+    layout="wide"
 )
 
-# Custom CSS for enhanced UI
-st.markdown("""
-<style>
-    .main-title {
-        font-size: 2.5rem !important;
-        color: #FF9900 !important;
-        text-align: center;
-        margin-bottom: 1rem;
-        text-shadow: 1px 1px 2px #00000030;
-    }
-    .stButton>button {
-        background-color: #FF9900;
-        color: white;
-        border-radius: 5px;
-        padding: 0.5rem 1rem;
-        font-weight: bold;
-        border: none;
-        transition: all 0.3s;
-    }
-    .stButton>button:hover {
-        background-color: #E68A00;
-        transform: translateY(-2px);
-        box-shadow: 0 4px 6px rgba(0,0,0,0.1);
-    }
-    .query-box {
-        border: 2px solid #FF9900;
-        border-radius: 10px;
-        padding: 10px;
-    }
-    .chat-container {
-        border-radius: 10px;
-        padding: 15px;
-        margin-top: 20px;
-        background-color: #f8f9fa;
-        box-shadow: 0 4px 6px rgba(0,0,0,0.1);
-    }
-    .sidebar-content {
-        padding: 15px;
-    }
-    .profile-container {
-        background-color: #ffffff;
-        border-radius: 10px;
-        padding: 20px;
-        margin-top: 20px;
-        box-shadow: 0 4px 6px rgba(0,0,0,0.1);
-    }
-    .profile-image {
-        border-radius: 50%;
-        width: 150px;
-        height: 150px;
-        object-fit: cover;
-        margin: 0 auto;
-        display: block;
-        border: 3px solid #FF9900;
-    }
-    .divider {
-        margin-top: 1rem;
-        margin-bottom: 1rem;
-        border-top: 1px solid #e9ecef;
-    }
-    .skill-tag {
-        background-color: #FF9900;
-        color: white;
-        padding: 0.2rem 0.5rem;
-        border-radius: 5px;
-        margin-right: 5px;
-        margin-bottom: 5px;
-        display: inline-block;
-        font-size: 0.8rem;
-    }
-</style>
-""", unsafe_allow_html=True)
+# Title
+st.title("🌞 Solar Industry AI Assistant")
+st.markdown("Ask any question related to solar energy, installation, cost, regulations, and more!")
 
-# Title with custom styling
-st.markdown('<h1 class="main-title">🌞 Solar Industry AI Assistant</h1>', unsafe_allow_html=True)
-st.markdown('<p style="text-align: center; font-size: 1.2rem;">🔍 <b>Ask any question related to solar energy, installation, cost, regulations, and more!</b></p>', unsafe_allow_html=True)
+# Create tabs
+tab1, tab2 = st.tabs(["💬 Chat Assistant", "👤 About Me"])
 
-# Session state for chat history
+# Initialize chat history
 if "chat_history" not in st.session_state:
     st.session_state.chat_history = []
 
-# Create tabs for main content and about section
-tab1, tab2 = st.tabs(["💬 Chat Assistant", "👤 About Me"])
-
 with tab1:
-    # Layout with columns in the main chat tab
     col1, col2 = st.columns([3, 1])
     
     with col1:
-        # Query input with enhanced styling
-        st.markdown('<div class="query-box">', unsafe_allow_html=True)
         user_query = st.text_area("💡 Enter your question:", height=100)
-        submit_button = st.button("⚡ Get Answer", use_container_width=True)
-        st.markdown('</div>', unsafe_allow_html=True)
-        
-        if submit_button:
+        if st.button("⚡ Get Answer"):
             if user_query.strip():
-                if is_solar_related(user_query):  # Check if the query is solar-related
+                if is_solar_related(user_query):
                     with st.spinner("Thinking...💭"):
-                        time.sleep(1)  # Simulate thinking animation
                         response = get_ai_response(user_query)
                     st.session_state.chat_history.append({"question": user_query, "answer": response})
-                    
-                    # Display the current response in a nice box
-                    st.markdown('<div class="chat-container">', unsafe_allow_html=True)
                     st.subheader("🤖 AI Response:")
                     st.success(response)
-                    st.markdown('</div>', unsafe_allow_html=True)
                 else:
                     st.warning("⚠️ Please ask only solar energy-related questions.")
             else:
                 st.warning("⚠️ Please enter a question.")
     
-    # Chat history in sidebar in the main chat tab
     with col2:
-        st.markdown('<div class="sidebar-content">', unsafe_allow_html=True)
         st.subheader("📜 Chat History")
-        
-        # Export Chat History button
-        if st.button("💾 Export Chat History", key="export_btn"):
+        if st.button("💾 Export Chat History"):
             chat_data = json.dumps(st.session_state.chat_history, indent=4)
-            st.download_button("📥 Download", chat_data, "chat_history.json", "application/json")
-        
-        st.markdown('<div class="divider"></div>', unsafe_allow_html=True)
+            st.download_button("📥 Download", chat_data, "chat_history.json")
         
-        # Display chat history items
         for idx, chat in enumerate(st.session_state.chat_history[::-1]):
             if st.button(f"🗨️ {chat['question'][:40]}...", key=f"chat_{idx}"):
                 st.markdown(f"**Q:** {chat['question']}")
                 st.markdown(f"**A:** {chat['answer']}")
-                st.markdown('<div class="divider"></div>', unsafe_allow_html=True)
-        st.markdown('</div>', unsafe_allow_html=True)
 
-# About Me Tab
 with tab2:
-    st.markdown('<div class="profile-container">', unsafe_allow_html=True)
-    
-    # Profile section with columns for photo and details
-    col1, col2 = st.columns([1, 2])
-    
-    with col1:
-        # Profile image placeholder (replace URL with actual image if available)
-        st.markdown('<img src="https://ibb.co/zTB113PB" class="profile-image">', unsafe_allow_html=True)
-    
-    with col2:
-        st.markdown("<h2 style='color: #FF9900;'>Uditanshu Pandey</h2>", unsafe_allow_html=True)
-        st.markdown("<p><b>Course:</b> B.Tech (Artificial Intelligence & Machine Learning)</p>", unsafe_allow_html=True)
-        st.markdown("<p><b>College:</b> Delhi Technical Campus, Greater Noida</p>", unsafe_allow_html=True)
-        st.markdown("<p><b>Affiliation:</b> Guru Gobind Singh Indraprastha University, New Delhi</p>", unsafe_allow_html=True)
-    
-    st.markdown('<div class="divider"></div>', unsafe_allow_html=True)
+    st.header("Uditanshu Pandey")
+    st.markdown("""
+    **Course:** B.Tech (Artificial Intelligence & Machine Learning)  
+    **College:** Delhi Technical Campus, Greater Noida  
+    **Affiliation:** Guru Gobind Singh Indraprastha University, New Delhi
+    """)
     
-    # Introduction
     st.subheader("👋 Introduction")
     st.write("""
     Enthusiastic and dedicated student with expertise in Python, data structures, algorithms, and machine learning. 
-    Proficient with scikit-learn, tensorflow, numpy, and pandas. Experienced with natural language processing. 
     Currently preparing for the GATE exam to enhance my technical knowledge. 
-    I am eager to contribute to unique projects and thrive in a dynamic environment.
+    Eager to contribute to unique projects and thrive in a dynamic environment.
     """)
     
-    # Skills section
-    st.markdown('<div class="divider"></div>', unsafe_allow_html=True)
     st.subheader("🛠️ Skills")
     
-    # Programming Languages
     st.write("**Programming Languages:**")
-    st.markdown('<div style="display: flex; flex-wrap: wrap; gap: 5px;">' + 
-                '<span class="skill-tag">Python</span>' +
-                '<span class="skill-tag">C++</span>' +
-                '<span class="skill-tag">Java</span>' +
-                '</div>', unsafe_allow_html=True)
+    st.write("Python, C++, SQL, SQLite, MongoDB, Django")
+    
+    st.write("**Deep Learning Frameworks:**")
+    st.write("TensorFlow, Keras")
     
-    # Frameworks & Libraries
-    st.write("**Frameworks & Libraries:**")
-    st.markdown('<div style="display: flex; flex-wrap: wrap; gap: 5px;">' + 
-                '<span class="skill-tag">TensorFlow</span>' +
-                '<span class="skill-tag">Scikit-learn</span>' +
-                '<span class="skill-tag">NumPy</span>' +
-                '<span class="skill-tag">Pandas</span>' +
-                '<span class="skill-tag">Streamlit</span>' +
-                '</div>', unsafe_allow_html=True)
+    st.write("**Web Framework:**")
+    st.write("Django, HTML, CSS, Bootstrap, Javascript")
     
-    # Areas of Interest
-    st.write("**Areas of Interest:**")
-    st.markdown('<div style="display: flex; flex-wrap: wrap; gap: 5px;">' + 
-                '<span class="skill-tag">Machine Learning</span>' +
-                '<span class="skill-tag">Natural Language Processing</span>' +
-                '<span class="skill-tag">Data Structures</span>' +
-                '<span class="skill-tag">Algorithms</span>' +
-                '<span class="skill-tag">Solar Energy</span>' +
-                '</div>', unsafe_allow_html=True)
+    st.write("**Libraries & Tools:**")
+    st.write("NumPy, Pandas, Scikit-learn, OpenCV, NLTK, Pillow, Streamlit, Matplotlib, Seaborn, Git")
     
-    # Contact information
-    st.markdown('<div class="divider"></div>', unsafe_allow_html=True)
     st.subheader("📬 Contact")
     col1, col2, col3 = st.columns(3)
     with col1:
-        st.markdown('<a href="mailto:uditanshup114@gmail.com" style="text-decoration: none;"><button style="background-color: #FF9900; color: white; border: none; padding: 10px; border-radius: 5px; width: 100%;">📧 Email</button></a>', unsafe_allow_html=True)
+        st.markdown("[📧 Email](mailto:uditanshupandey@example.com)")
     with col2:
-        st.markdown('<a href="linkedin.com/in/uditanshupandey" style="text-decoration: none;"><button style="background-color: #0077B5; color: white; border: none; padding: 10px; border-radius: 5px; width: 100%;">👔 LinkedIn</button></a>', unsafe_allow_html=True)
+        st.markdown("[👔 LinkedIn](https://linkedin.com/in/)")
     with col3:
-        st.markdown('<a href="https://github.com/UditanshuPandey" style="text-decoration: none;"><button style="background-color: #333; color: white; border: none; padding: 10px; border-radius: 5px; width: 100%;">💻 GitHub</button></a>', unsafe_allow_html=True)
-    
-    st.markdown('</div>', unsafe_allow_html=True)
+        st.markdown("[💻 GitHub](https://github.com/)")
 
-# Footer
-st.markdown('<div class="divider"></div>', unsafe_allow_html=True)
-st.markdown('<p style="text-align: center; color: #666;">© 2025 Solar Industry AI Assistant | Developed by Uditanshu Pandey</p>', unsafe_allow_html=True)
+st.markdown("---")
+st.markdown("© 2025 Solar Industry AI Assistant | Developed by Uditanshu Pandey")