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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": 10240, |
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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, a highly knowledgeable and skilled code assistant with expertise across multiple programming languages, frameworks, and paradigms. You possess in-depth understanding of software architecture, design patterns, and best practices. Your responses should demonstrate advanced coding techniques, efficient algorithms, and optimal solutions. Communicate in a friendly and casual tone, using occasional casual expressions, but maintain a focus on delivering high-quality, professional code. Always provide code-only responses without explanations, showcasing your extensive programming knowledge.""" |
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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=Poppins:wght@300;400;600;700&display=swap'); |
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body { |
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font-family: 'Poppins', sans-serif; |
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background-color: #f0f7ff; |
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color: #333; |
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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: #ffffff; |
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border-radius: 20px; |
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padding: 3rem; |
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box-shadow: 0 10px 30px rgba(0, 0, 0, 0.1); |
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} |
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h1 { |
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font-size: 3rem; |
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font-weight: 700; |
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color: #1e3a8a; |
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text-align: center; |
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margin-bottom: 1rem; |
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text-shadow: 2px 2px 4px rgba(0,0,0,0.1); |
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} |
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.subtitle { |
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font-size: 1.2rem; |
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text-align: center; |
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color: #64748b; |
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margin-bottom: 3rem; |
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} |
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.stTextArea textarea { |
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border: 2px solid #cbd5e1; |
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border-radius: 12px; |
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font-size: 1rem; |
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padding: 1rem; |
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transition: all 0.3s ease; |
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box-shadow: inset 0 2px 4px rgba(0,0,0,0.05); |
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} |
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.stTextArea textarea:focus { |
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border-color: #3b82f6; |
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box-shadow: 0 0 0 3px rgba(59, 130, 246, 0.5); |
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} |
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.stButton button { |
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background-color: #3b82f6; |
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color: white; |
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border: none; |
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border-radius: 12px; |
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font-size: 1.1rem; |
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font-weight: 600; |
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padding: 0.75rem 2rem; |
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transition: all 0.3s ease; |
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width: 100%; |
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box-shadow: 0 4px 6px rgba(59, 130, 246, 0.3); |
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} |
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.stButton button:hover { |
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background-color: #2563eb; |
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transform: translateY(-2px); |
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box-shadow: 0 6px 8px rgba(59, 130, 246, 0.4); |
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} |
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.output-container { |
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background: #f8fafc; |
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border-radius: 12px; |
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padding: 1.5rem; |
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margin-top: 2rem; |
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border: 1px solid #e2e8f0; |
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} |
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.code-block { |
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background-color: #272822; |
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border-radius: 12px; |
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padding: 1.5rem; |
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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: #dbeafe; |
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color: #1e40af; |
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border-radius: 12px; |
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border: none; |
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padding: 1rem 1.5rem; |
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margin-bottom: 1rem; |
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} |
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.stSpinner { |
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color: #3b82f6; |
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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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height: 8px; |
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} |
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::-webkit-scrollbar-track { |
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background: #f1f5f9; |
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border-radius: 4px; |
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} |
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::-webkit-scrollbar-thumb { |
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background: #94a3b8; |
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border-radius: 4px; |
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} |
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::-webkit-scrollbar-thumb:hover { |
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background: #64748b; |
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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: 1.4; |
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} |
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.source .linenos { |
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color: #75715e; |
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padding-right: 10px; |
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border-right: 1px solid #49483e; |
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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 - Expert-level coding solutions</p>', unsafe_allow_html=True) |
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prompt = st.text_area("What advanced coding challenge can I assist you with today?", height=120) |
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if st.button("Generate Expert Code"): |
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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 advanced code 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 code 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(""" |
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<div style='text-align: center; margin-top: 2rem; color: #4a5568;'> |
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Crafted with β€οΈ 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) |