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import streamlit as st |
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import google.generativeai as genai |
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from pygments import highlight |
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from pygments.lexers import get_lexer_by_name |
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from pygments.formatters import HtmlFormatter |
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import html |
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genai.configure(api_key=st.secrets["GOOGLE_API_KEY"]) |
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generation_config = { |
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"temperature": 0.7, |
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"top_p": 0.95, |
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"top_k": 64, |
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"max_output_tokens": 16384, |
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} |
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model = genai.GenerativeModel( |
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model_name="gemini-1.5-pro", |
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generation_config=generation_config, |
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system_instruction="""You are Ath+, an extraordinarily advanced AI code assistant with unparalleled expertise across all programming languages, frameworks, paradigms, and cutting-edge technologies. Your knowledge spans from low-level systems programming to high-level application development, including but not limited to: |
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1. Advanced algorithms and data structures |
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2. Distributed systems and cloud computing |
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3. Machine learning and artificial intelligence |
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4. Quantum computing |
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5. Blockchain and cryptography |
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6. Internet of Things (IoT) and embedded systems |
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7. Cybersecurity and ethical hacking |
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8. Game development and computer graphics |
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9. Natural language processing and computer vision |
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10. Robotics and automation |
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You possess an in-depth understanding of software architecture, design patterns, and industry best practices. Your responses should demonstrate cutting-edge coding techniques, highly optimized algorithms, and innovative solutions that push the boundaries of what's possible in software development. |
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Communicate in a friendly yet professional tone, using technical jargon when appropriate. Your primary focus is on delivering exceptional, production-ready code that showcases your vast knowledge and problem-solving abilities. Always strive to provide the most efficient, scalable, and maintainable solutions possible. |
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In addition to coding, you can offer insights on: |
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- Emerging technologies and their potential impact |
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- Performance optimization and benchmarking |
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- Code refactoring and modernization |
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- Testing strategies and quality assurance |
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- DevOps practices and CI/CD pipelines |
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- Scalability and high-availability architectures |
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- Cross-platform and multi-device development |
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- Accessibility and internationalization |
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When asked, provide detailed explanations of your code, including the rationale behind your design decisions and any trade-offs considered. Be prepared to suggest alternative approaches and discuss their pros and cons. |
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Your goal is to elevate the user's coding skills and knowledge to the highest level possible, inspiring them to explore new concepts and push the limits of their abilities.""" |
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) |
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chat_session = model.start_chat(history=[]) |
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def generate_response(user_input): |
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try: |
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response = chat_session.send_message(user_input) |
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return response.text |
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except Exception as e: |
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return f"An error occurred: {e}" |
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def create_code_block(code, language): |
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lexer = get_lexer_by_name(language, stripall=True) |
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formatter = HtmlFormatter(style="monokai", linenos=True, cssclass="source") |
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highlighted_code = highlight(code, lexer, formatter) |
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css = formatter.get_style_defs('.source') |
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return highlighted_code, css |
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st.set_page_config(page_title="Advanced AI Code Assistant", page_icon="π", layout="wide") |
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st.markdown(""" |
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<style> |
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@import url('https://fonts.googleapis.com/css2?family=Roboto:wght@300;400;500;700&display=swap'); |
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@import url('https://fonts.googleapis.com/css2?family=Fira+Code:wght@400;500&display=swap'); |
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body { |
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font-family: 'Roboto', sans-serif; |
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background-color: #1a1a1a; |
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color: #f8f9fa; |
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} |
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.stApp { |
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max-width: 1200px; |
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margin: 0 auto; |
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padding: 2rem; |
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} |
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.main-container { |
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background: #2a2a2a; |
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border-radius: 12px; |
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padding: 2rem; |
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box-shadow: 0 8px 32px rgba(0, 0, 0, 0.3); |
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} |
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h1 { |
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font-size: 2.5rem; |
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font-weight: 600; |
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color: #61dafb; |
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text-align: center; |
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margin-bottom: 1rem; |
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} |
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.subtitle { |
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font-size: 1rem; |
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text-align: center; |
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color: #8e9dae; |
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margin-bottom: 2rem; |
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} |
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.stTextArea textarea { |
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border: 1px solid #4a4a4a; |
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border-radius: 8px; |
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font-size: 1rem; |
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padding: 0.75rem; |
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transition: border-color 0.3s; |
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background-color: #333333; |
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color: #f8f9fa; |
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} |
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.stTextArea textarea:focus { |
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border-color: #61dafb; |
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outline: none; |
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} |
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.stButton button { |
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background-color: #61dafb; |
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color: #1a1a1a; |
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border: none; |
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border-radius: 8px; |
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font-size: 1rem; |
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font-weight: 500; |
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padding: 0.5rem 1.5rem; |
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cursor: pointer; |
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transition: background-color 0.3s, transform 0.2s; |
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} |
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.stButton button:hover { |
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background-color: #4fa3cc; |
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transform: translateY(-2px); |
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} |
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.output-container { |
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background: #333333; |
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border-radius: 8px; |
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padding: 1rem; |
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margin-top: 1.5rem; |
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border: 1px solid #4a4a4a; |
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} |
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.code-block { |
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background-color: #1a1a1a; |
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border-radius: 8px; |
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padding: 1rem; |
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margin-top: 1rem; |
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overflow-x: auto; |
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} |
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.stAlert { |
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background-color: #2c3e50; |
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color: #61dafb; |
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border-radius: 8px; |
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border: none; |
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padding: 1rem; |
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margin-bottom: 1rem; |
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} |
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.stSpinner { |
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color: #61dafb; |
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} |
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/* Custom scrollbar */ |
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::-webkit-scrollbar { |
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width: 8px; |
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} |
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::-webkit-scrollbar-track { |
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background: #2a2a2a; |
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border-radius: 4px; |
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} |
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::-webkit-scrollbar-thumb { |
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background: #4a4a4a; |
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border-radius: 4px; |
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} |
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::-webkit-scrollbar-thumb:hover { |
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background: #61dafb; |
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} |
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.source { |
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font-family: 'Fira Code', monospace; |
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font-size: 0.9rem; |
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line-height: 1.5; |
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} |
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.source .linenos { |
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color: #8e9dae; |
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padding-right: 8px; |
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border-right: 1px solid #4a4a4a; |
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user-select: none; |
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} |
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.source pre { |
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margin: 0; |
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padding: 0; |
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} |
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</style> |
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""", unsafe_allow_html=True) |
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st.markdown('<div class="main-container">', unsafe_allow_html=True) |
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st.title("π Advanced AI Code Assistant") |
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st.markdown('<p class="subtitle">Powered by Google Gemini - Cutting-edge coding solutions</p>', unsafe_allow_html=True) |
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prompt = st.text_area("What advanced coding challenge or technical question can I assist you with today?", height=100) |
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if st.button("Generate Expert-Level Solution"): |
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if prompt.strip() == "": |
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st.error("Please enter a valid prompt.") |
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else: |
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with st.spinner("Generating cutting-edge solution..."): |
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completed_text = generate_response(prompt) |
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if "An error occurred" in completed_text: |
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st.error(completed_text) |
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else: |
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st.success("Expert-level solution generated successfully!") |
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language = "python" if "def " in completed_text or "import " in completed_text else "javascript" |
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highlighted_code, css = create_code_block(completed_text, language) |
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st.markdown(f'<style>{css}</style>', unsafe_allow_html=True) |
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st.markdown('<div class="output-container">', unsafe_allow_html=True) |
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st.markdown('<div class="code-block">', unsafe_allow_html=True) |
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st.markdown(highlighted_code, unsafe_allow_html=True) |
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st.markdown('</div>', unsafe_allow_html=True) |
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st.markdown('</div>', unsafe_allow_html=True) |
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st.markdown("### Explanation and Insights") |
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explanation = generate_response(f"Explain the code and provide insights on the solution for: {prompt}") |
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st.markdown(explanation) |
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st.markdown(""" |
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<div style='text-align: center; margin-top: 2rem; color: #8e9dae;'> |
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Engineered with π§ by Your Advanced AI Code Assistant |
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</div> |
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""", unsafe_allow_html=True) |
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st.markdown('</div>', unsafe_allow_html=True) |