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| import streamlit as st | |
| import os | |
| from dotenv import load_dotenv | |
| import google.generativeai as genai | |
| # Load environment variables | |
| load_dotenv() | |
| GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") | |
| # Validate API Key | |
| if not GOOGLE_API_KEY: | |
| st.error("Google Gemini API key not found. Please set GOOGLE_API_KEY in your .env file.") | |
| st.stop() | |
| # Configure Gemini | |
| genai.configure(api_key=GOOGLE_API_KEY) | |
| # Streamlit page setup | |
| st.set_page_config(page_title="NeuraNexus: AI-Powered ML Assistant", page_icon="🧠", layout="wide") | |
| # ============================== | |
| # Custom CSS (include your full CSS here) | |
| # ============================== | |
| st.markdown(""" | |
| <style> | |
| body { | |
| background-color: #0F1C2E; | |
| color: white; | |
| font-family: 'Roboto', sans-serif; | |
| } | |
| h1 { | |
| font-family: 'Orbitron', sans-serif; | |
| color: #FF6B6B; | |
| text-align: center; | |
| font-size: 2.5em; | |
| text-shadow: 0 0 10px rgba(255, 107, 107, 0.7); | |
| } | |
| .result-container { | |
| background: rgba(255, 255, 255, 0.05); | |
| border: 1px solid rgba(74, 144, 226, 0.2); | |
| border-radius: 15px; | |
| padding: 20px; | |
| margin-top: 30px; | |
| color: white; | |
| box-shadow: 0 8px 32px 0 rgba(31, 38, 135, 0.2); | |
| backdrop-filter: blur(10px); | |
| } | |
| .by-theaimart { | |
| text-align: center; | |
| font-size: 20px; | |
| color: #50E3C2; | |
| margin-top: 20px; | |
| font-weight: bold; | |
| } | |
| </style> | |
| """, unsafe_allow_html=True) | |
| # ============================== | |
| # App UI | |
| # ============================== | |
| st.markdown('<h1 class="glow">NeuraNexus: AI-Powered ML Assistant</h1>', unsafe_allow_html=True) | |
| st.markdown('<h3 style="text-align:center;">Describe your ML challenge, and let NeuraNexus craft an innovative solution.</h3>', unsafe_allow_html=True) | |
| # Input from user | |
| user_prompt = st.text_area("Your ML Challenge", height=150, placeholder="Enter your machine learning challenge here...") | |
| if 'response' not in st.session_state: | |
| st.session_state.response = "" | |
| # Generate button | |
| if st.button("SYNTHESIZE"): | |
| if not user_prompt.strip(): | |
| st.warning("Please describe your ML challenge first.") | |
| else: | |
| with st.spinner("NeuraNexus is thinking..."): | |
| try: | |
| model = genai.GenerativeModel("gemini-pro") | |
| chat = model.start_chat() | |
| system_prompt = "You are NeuraNexus, an AI specialized in designing innovative and actionable ML strategies. Provide expert-level solutions to the given ML challenge." | |
| full_prompt = f"{system_prompt}\n\nUser Problem:\n{user_prompt}" | |
| response = chat.send_message(full_prompt) | |
| st.session_state.response = response.text | |
| st.success("Synthesis complete!") | |
| except Exception as e: | |
| st.session_state.response = f"❌ Error: {e}" | |
| st.error("Gemini synthesis failed.") | |
| # ============================== | |
| # Show result | |
| # ============================== | |
| if st.session_state.response: | |
| st.markdown("### NeuraNexus Synthesis Result") | |
| st.markdown(f""" | |
| <div class="result-container"> | |
| {st.session_state.response} | |
| </div> | |
| """, unsafe_allow_html=True) | |
| # Footer | |
| st.markdown('<p class="by-theaimart">By Theaimart</p>', unsafe_allow_html=True) | |
| # Run wrapper | |
| def main(): | |
| pass | |
| if __name__ == "__main__": | |
| main() | |