File size: 9,986 Bytes
db22f9e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 |
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: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)
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)
|