Upload 4 files

app.py

@@ -0,0 +1,233 @@
+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
+
+# Configure Gemini API
+genai.configure(api_key=config.API_KEY)
+
+def get_ai_response(user_input):
+    model = genai.GenerativeModel("gemini-pro")  # Using Gemini Pro model
+    response = model.generate_content(user_input)
+    return response.text if hasattr(response, "text") else "Error fetching response"
+
+# Set page config
+st.set_page_config(
+    page_title="Solar Industry AI Assistant",
+    page_icon="☀️",
+    layout="wide",
+    initial_sidebar_state="expanded"
+)
+
+# 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 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)
+
+# Session state for 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 user_query.strip():
+                if is_solar_related(user_query):  # Check if the query is solar-related
+                    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"):
+            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)
+        
+        # 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://github.com/UditanshuPandey/uditanshupandey.github.io/blob/main/imgs/Photo.png" 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)
+    
+    # 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.
+    """)
+    
+    # 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)
+    
+    # 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)
+    
+    # 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)
+    
+    # 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:[email protected]" 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)
+    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)
+    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)
+
+# 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)

config.py

@@ -0,0 +1 @@
+API_KEY = "AIzaSyDuoxoNgkgWr34vEUBFH7y_gwS-uvsXRYI"

filter.py

@@ -0,0 +1,11 @@
+# filter.py - Solar Energy Query Filtering Module
+
+def is_solar_related(query):
+    """Check if the query is related to solar energy."""
+    solar_keywords = [
+        "solar", "photovoltaic", "renewable", "solar panel", "solar energy",
+        "solar power", "PV system", "net metering", "solar installation",
+        "inverter", "solar efficiency", "solar cells", "solar farm",
+        "solar battery", "solar thermal", "off-grid solar"
+    ]
+    return any(keyword in query.lower() for keyword in solar_keywords)

requirements.txt

@@ -0,0 +1,4 @@
+streamlit>=1.30.0
+google-generativeai>=0.3.0
+python-dotenv>=1.0.0
+json5>=0.9.14