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import streamlit as st |
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import google.generativeai as genai |
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import json |
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import time |
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import config |
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from filter import is_solar_related |
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genai.configure(api_key=config.API_KEY) |
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def get_ai_response(user_input): |
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model = genai.GenerativeModel("gemini-pro") |
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response = model.generate_content(user_input) |
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return response.text if hasattr(response, "text") else "Error fetching response" |
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st.set_page_config( |
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page_title="Solar Industry AI Assistant", |
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page_icon="☀️", |
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layout="wide" |
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) |
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st.title("🌞 Solar Industry AI Assistant") |
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st.markdown("Ask any question related to solar energy, installation, cost, regulations, and more!") |
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tab1, tab2 = st.tabs(["💬 Chat Assistant", "👤 About Me"]) |
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if "chat_history" not in st.session_state: |
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st.session_state.chat_history = [] |
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with tab1: |
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col1, col2 = st.columns([3, 1]) |
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with col1: |
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user_query = st.text_area("💡 Enter your question:", height=100) |
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if st.button("⚡ Get Answer"): |
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if user_query.strip(): |
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if is_solar_related(user_query): |
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with st.spinner("Thinking...💭"): |
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response = get_ai_response(user_query) |
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st.session_state.chat_history.append({"question": user_query, "answer": response}) |
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st.subheader("🤖 AI Response:") |
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st.success(response) |
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else: |
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st.warning("⚠️ Please ask only solar energy-related questions.") |
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else: |
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st.warning("⚠️ Please enter a question.") |
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with col2: |
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st.subheader("📜 Chat History") |
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if st.button("💾 Export Chat History"): |
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chat_data = json.dumps(st.session_state.chat_history, indent=4) |
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st.download_button("📥 Download", chat_data, "chat_history.json") |
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for idx, chat in enumerate(st.session_state.chat_history[::-1]): |
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if st.button(f"🗨️ {chat['question'][:40]}...", key=f"chat_{idx}"): |
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st.markdown(f"**Q:** {chat['question']}") |
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st.markdown(f"**A:** {chat['answer']}") |
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with tab2: |
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st.header("Uditanshu Pandey") |
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st.markdown(""" |
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**Course:** B.Tech (Artificial Intelligence & Machine Learning) |
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**College:** Delhi Technical Campus, Greater Noida |
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**Affiliation:** Guru Gobind Singh Indraprastha University, New Delhi |
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""") |
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st.subheader("👋 Introduction") |
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st.write(""" |
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Enthusiastic and dedicated student with expertise in Python, data structures, algorithms, and machine learning. |
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Currently preparing for the GATE exam to enhance my technical knowledge. |
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Eager to contribute to unique projects and thrive in a dynamic environment. |
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""") |
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st.subheader("🛠️ Skills") |
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st.write("**Programming Languages:**") |
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st.write("Python, C++, SQL, SQLite, MongoDB, Django") |
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st.write("**Deep Learning Frameworks:**") |
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st.write("TensorFlow, Keras") |
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st.write("**Web Framework:**") |
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st.write("Django, HTML, CSS, Bootstrap, Javascript") |
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st.write("**Libraries & Tools:**") |
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st.write("NumPy, Pandas, Scikit-learn, OpenCV, NLTK, Pillow, Streamlit, Matplotlib, Seaborn, Git") |
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st.subheader("📬 Contact") |
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col1, col2, col3 = st.columns(3) |
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with col1: |
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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) |
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with col2: |
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st.markdown('<a href="https://linkedin.com/in/" 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) |
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with col3: |
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st.markdown('<a href="https://github.com/" 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) |
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st.markdown("---") |
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st.markdown("© 2025 Solar Industry AI Assistant | Developed by Uditanshu Pandey") |
