Delete app.py

app.py

@@ -1,656 +0,0 @@
-"""
-Python to C++ Code Optimizer - AI-Powered Code Conversion
-Modern Gradio app with password protection for secure deployments
-
-Supported Models:
-- GPT-4o (OpenAI) - Premium, fastest, most accurate
-- Claude-3.5-Sonnet (Anthropic) - Premium, excellent for code
-
-⚠️ SECURITY WARNING:
-This app executes arbitrary code. Only run code from trusted sources.
-Malicious code can harm the system. Use at your own risk.
-"""
-
-import os
-import io
-import sys
-import subprocess
-import socket
-import httpx
-from openai import OpenAI
-import anthropic
-# Workaround for Python 3.13 where stdlib audioop is removed; instruct pydub to use pure-python fallback
-os.environ.setdefault("PYDUB_SIMPLE_AUDIOOP", "1")
-import gradio as gr
-
-# Try to load from .env file if available
-try:
-    from dotenv import load_dotenv
-    load_dotenv()
-except ImportError:
-    pass
-
-# PASSWORD PROTECTION
-# Set this as a Hugging Face Secret: APP_PASSWORD
-APP_PASSWORD = os.environ.get("APP_PASSWORD", "demo123")  # Change default!
-
-# Lazy initialization of AI clients with explicit HTTP client to avoid Gradio conflicts
-def get_openai_client():
-    api_key = os.environ.get("OPENAI_API_KEY")
-    if not api_key:
-        raise ValueError("OPENAI_API_KEY not found. Please set it in your environment or .env file.")
-    
-    # Create a clean HTTP client without proxies to avoid Gradio conflicts
-    http_client = httpx.Client(
-        timeout=60.0,
-        limits=httpx.Limits(max_keepalive_connections=5, max_connections=10)
-    )
-    
-    return OpenAI(api_key=api_key, http_client=http_client)
-
-def get_claude_client():
-    api_key = os.environ.get("ANTHROPIC_API_KEY")
-    if not api_key:
-        raise ValueError("ANTHROPIC_API_KEY not found. Please set it in your environment or .env file.")
-    
-    # Create a clean HTTP client without proxies to avoid Gradio conflicts
-    http_client = httpx.Client(
-        timeout=60.0,
-        limits=httpx.Limits(max_keepalive_connections=5, max_connections=10)
-    )
-    
-    return anthropic.Anthropic(api_key=api_key, http_client=http_client)
-
-# Model configurations
-OPENAI_MODEL = "gpt-4o"
-CLAUDE_MODEL = "claude-3-5-sonnet-20240620"
-
-# System and user prompts
-system_message = (
-    "You are an assistant that reimplements Python code in high performance C++. "
-    "Respond only with C++ code; use comments sparingly and do not provide any explanation other than occasional comments. "
-    "The C++ response needs to produce an identical output in the fastest possible time."
-)
-
-def user_prompt_for(python):
-    user_prompt = (
-        "Rewrite this Python code in C++ with the fastest possible implementation that produces identical output in the least time. "
-        "Respond only with C++ code; do not explain your work other than a few comments. "
-        "Pay attention to number types to ensure no int overflows. Remember to #include all necessary C++ packages such as iomanip.\n\n"
-    )
-    user_prompt += python
-    return user_prompt
-
-def messages_for(python):
-    return [
-        {"role": "system", "content": system_message},
-        {"role": "user", "content": user_prompt_for(python)}
-    ]
-
-def write_output(cpp):
-    """Write C++ code to file for compilation"""
-    code = cpp.replace("```cpp","").replace("```","")
-    with open("optimized.cpp", "w") as f:
-        f.write(code)
-
-def stream_gpt(python):
-    """Stream GPT-4o response"""
-    try:
-        client = get_openai_client()
-        stream = client.chat.completions.create(
-            model=OPENAI_MODEL, 
-            messages=messages_for(python), 
-            stream=True
-        )
-        reply = ""
-        for chunk in stream:
-            fragment = chunk.choices[0].delta.content or ""
-            reply += fragment
-            yield reply.replace('```cpp\n','').replace('```','')
-    except ValueError as e:
-        yield f"❌ Error: {str(e)}"
-    except Exception as e:
-        yield f"❌ Error: {str(e)}"
-
-def stream_claude(python):
-    """Stream Claude response"""
-    try:
-        client = get_claude_client()
-        result = client.messages.stream(
-            model=CLAUDE_MODEL,
-            max_tokens=2000,
-            system=system_message,
-            messages=[{"role": "user", "content": user_prompt_for(python)}],
-        )
-        reply = ""
-        with result as stream:
-            for text in stream.text_stream:
-                reply += text
-                yield reply.replace('```cpp\n','').replace('```','')
-    except ValueError as e:
-        yield f"❌ Error: {str(e)}"
-    except Exception as e:
-        yield f"❌ Error: {str(e)}"
-
-def optimize(python, model):
-    """Convert Python to C++ using selected AI model"""
-    if model in ["GPT-4o", "GPT"]:
-        result = stream_gpt(python)
-    elif model in ["Claude-3.5-Sonnet", "Claude"]:
-        result = stream_claude(python)
-    else:
-        raise ValueError(f"Unknown model: {model}")
-    
-    for stream_so_far in result:
-        yield stream_so_far
-
-def execute_python(code):
-    """⚠️ WARNING: Executes arbitrary Python code"""
-    try:
-        output = io.StringIO()
-        sys.stdout = output
-        exec(code)
-    finally:
-        sys.stdout = sys.__stdout__
-    return output.getvalue()
-
-def execute_cpp(code):
-    """⚠️ WARNING: Compiles and executes arbitrary C++ code"""
-    write_output(code)
-    try:
-        compile_cmd = ["g++", "-O3", "-std=c++17", "-o", "optimized", "optimized.cpp"]
-        compile_result = subprocess.run(
-            compile_cmd, 
-            check=True, 
-            text=True, 
-            capture_output=True,
-            timeout=30
-        )
-        
-        run_cmd = ["./optimized"]
-        run_result = subprocess.run(
-            run_cmd, 
-            check=True, 
-            text=True, 
-            capture_output=True,
-            timeout=30
-        )
-        return run_result.stdout
-    except subprocess.TimeoutExpired:
-        return "⚠️ Execution timed out (30 seconds limit)"
-    except subprocess.CalledProcessError as e:
-        return f"❌ An error occurred:\n{e.stderr}"
-    except Exception as e:
-        return f"❌ Unexpected error: {str(e)}"
-
-# Example Python code
-default_python = """import time
-
-def calculate(iterations, param1, param2):
-    result = 1.0
-    for i in range(1, iterations+1):
-        j = i * param1 - param2
-        result -= (1/j)
-        j = i * param1 + param2
-        result += (1/j)
-    return result
-
-start_time = time.time()
-result = calculate(100_000_000, 4, 1) * 4
-end_time = time.time()
-
-print(f"Result: {result:.12f}")
-print(f"Execution Time: {(end_time - start_time):.6f} seconds")
-"""
-
-# Modern CSS
-modern_css = """
-.gradio-container, body, html {
-    background: #f9fafb !important; /* light background to avoid dark-mode conflicts */
-    color: #111827 !important;      /* ensure readable text */
-}
-
-.gradio-container {
-    max-width: 1400px !important;
-    margin: 0 auto !important;
-    font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
-}
-
-.modern-header {
-    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-    color: white;
-    padding: 24px;
-    border-radius: 16px;
-    margin-bottom: 24px;
-    text-align: center;
-    box-shadow: 0 8px 32px rgba(0, 0, 0, 0.1);
-}
-
-.modern-header h1 {
-    margin: 0;
-    font-size: 32px;
-    font-weight: 700;
-    letter-spacing: -0.5px;
-}
-
-.modern-header p {
-    margin: 12px 0 0 0;
-    opacity: 0.9;
-    font-size: 18px;
-    font-weight: 400;
-}
-
-.security-warning {
-    background: #fee2e2 !important;
-    border: 2px solid #dc2626 !important;
-    border-radius: 12px !important;
-    padding: 16px !important;
-    margin: 16px 0 !important;
-}
-
-.python-input {
-    background: #f8fafc !important;
-    border: 2px solid #e2e8f0 !important;
-    border-radius: 12px !important;
-    padding: 16px !important;
-    font-family: 'Monaco', 'Menlo', 'Ubuntu Mono', monospace !important;
-    font-size: 14px !important;
-    color: #1e293b !important;
-    line-height: 1.5 !important;
-}
-
-.python-input:focus {
-    border-color: #3b82f6 !important;
-    box-shadow: 0 0 0 3px rgba(59, 130, 246, 0.1) !important;
-}
-
-.cpp-output {
-    background: #f1f5f9 !important;
-    border: 2px solid #cbd5e1 !important;
-    border-radius: 12px !important;
-    padding: 16px !important;
-    font-family: 'Monaco', 'Menlo', 'Ubuntu Mono', monospace !important;
-    font-size: 14px !important;
-    color: #0f172a !important;
-    line-height: 1.5 !important;
-}
-
-.model-selector {
-    background: white !important;
-    border: 2px solid #e2e8f0 !important;
-    border-radius: 12px !important;
-    padding: 12px 16px !important;
-    font-size: 16px !important;
-    color: #374151 !important;
-}
-
-.model-selector:focus {
-    border-color: #3b82f6 !important;
-    box-shadow: 0 0 0 3px rgba(59, 130, 246, 0.1) !important;
-}
-
-.modern-button {
-    background: linear-gradient(135deg, #3b82f6 0%, #1d4ed8 100%) !important;
-    color: white !important;
-    border: none !important;
-    border-radius: 12px !important;
-    padding: 14px 28px !important;
-    font-weight: 600 !important;
-    font-size: 16px !important;
-    cursor: pointer !important;
-    transition: all 0.2s ease !important;
-    box-shadow: 0 4px 6px rgba(59, 130, 246, 0.2) !important;
-}
-
-.modern-button:hover {
-    transform: translateY(-2px) !important;
-    box-shadow: 0 8px 12px rgba(59, 130, 246, 0.3) !important;
-}
-
-.run-button {
-    background: linear-gradient(135deg, #10b981 0%, #059669 100%) !important;
-    color: white !important;
-    border: none !important;
-    border-radius: 10px !important;
-    padding: 12px 24px !important;
-    font-weight: 600 !important;
-    font-size: 14px !important;
-    cursor: pointer !important;
-    transition: all 0.2s ease !important;
-    box-shadow: 0 4px 6px rgba(16, 185, 129, 0.2) !important;
-}
-
-.run-button:hover {
-    transform: translateY(-1px) !important;
-    box-shadow: 0 6px 8px rgba(16, 185, 129, 0.3) !important;
-}
-
-.output-section {
-    background: #f8fafc;
-    border: 1px solid #e2e8f0;
-    border-radius: 12px;
-    padding: 16px;
-    margin: 12px 0;
-    font-family: 'Monaco', 'Menlo', 'Ubuntu Mono', monospace;
-    font-size: 13px;
-    line-height: 1.4;
-    color: #374151;
-    min-height: 100px;
-    overflow-y: auto;
-}
-
-.python-output {
-    background: #fef3c7 !important;
-    border: 2px solid #f59e0b !important;
-    color: #92400e !important;
-}
-
-.cpp-output-result {
-    background: #dbeafe !important;
-    border: 2px solid #3b82f6 !important;
-    color: #1e40af !important;
-}
-
-.performance-card {
-    background: linear-gradient(135deg, #f0f9ff 0%, #e0f2fe 100%);
-    border: 1px solid #0ea5e9;
-    border-radius: 12px;
-    padding: 20px;
-    margin: 16px 0;
-    text-align: center;
-}
-
-.performance-card h3 {
-    margin: 0 0 12px 0;
-    color: #0c4a6e;
-    font-size: 18px;
-    font-weight: 600;
-}
-
-.performance-metric {
-    display: inline-block;
-    background: white;
-    border-radius: 8px;
-    padding: 8px 16px;
-    margin: 4px;
-    font-weight: 600;
-    color: #0c4a6e;
-    box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
-}
-
-/* Login styling */
-body, .gradio-container {
-    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
-}
-
-.login-wrapper {
-    display: flex;
-    align-items: center;
-    justify-content: center;
-    min-height: 100vh;
-    padding: 24px;
-    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-}
-
-.login-card {
-    max-width: 400px;
-    width: 100%;
-    background: rgba(255, 255, 255, 0.95);
-    backdrop-filter: blur(10px);
-    border: 1px solid rgba(255, 255, 255, 0.3);
-    border-radius: 20px;
-    padding: 48px 40px;
-    box-shadow: 0 20px 60px rgba(0, 0, 0, 0.3);
-}
-
-.login-icon {
-    font-size: 56px;
-    text-align: center;
-    margin-bottom: 16px;
-    filter: drop-shadow(0 2px 4px rgba(0,0,0,0.1));
-}
-
-.login-title {
-    text-align: center;
-    margin: 0 0 8px 0;
-    font-size: 28px;
-    font-weight: 700;
-    color: #1f2937;
-    letter-spacing: -0.02em;
-}
-
-.login-subtitle {
-    text-align: center;
-    margin: 0 0 32px 0;
-    font-size: 15px;
-    color: #6b7280;
-    font-weight: 400;
-}
-
-.login-input label {
-    color: #374151 !important;
-    font-weight: 600 !important;
-    font-size: 14px !important;
-}
-
-.login-input input {
-    background: white !important;
-    border: 2px solid #e5e7eb !important;
-    border-radius: 10px !important;
-    padding: 12px 16px !important;
-    font-size: 16px !important;
-    color: #111827 !important;
-}
-
-.login-input input:focus {
-    border-color: #667eea !important;
-    background: white !important;
-    outline: none !important;
-    box-shadow: 0 0 0 4px rgba(102, 126, 234, 0.1) !important;
-}
-
-.login-error {
-    color: #dc2626;
-    background: #fee2e2;
-    border: 1px solid #fca5a5;
-    padding: 12px;
-    border-radius: 10px;
-    text-align: center;
-    font-weight: 500;
-}
-
-.freepik-credit {
-    margin-top: 24px;
-    text-align: center;
-    font-size: 12px;
-    color: #9ca3af;
-}
-
-.freepik-credit a {
-    color: #667eea;
-    text-decoration: none;
-    font-weight: 500;
-}
-
-.freepik-credit a:hover {
-    text-decoration: underline;
-}
-"""
-
-# Create the interface with custom login that SHOWS the boxes
-def create_interface():
-    with gr.Blocks(css=modern_css, title="Python to C++ Code Optimizer", theme=gr.themes.Soft()) as app:
-        
-        def check_password(pw):
-            if pw == APP_PASSWORD:
-                return gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)
-            else:
-                return gr.update(visible=True), gr.update(visible=False), gr.update(value="❌ Wrong password", visible=True)
-        
-        # Login Section - NO HTML wrapper around Gradio components!
-        with gr.Column(visible=True, elem_classes=["login-wrapper"]) as login_group:
-            gr.HTML("""
-            <div style="text-align: center; margin: 60px auto 40px; max-width: 400px;">
-                <div style="font-size: 56px; margin-bottom: 16px;">🔐</div>
-                <div style="font-size: 28px; font-weight: 700; color: #1f2937; margin-bottom: 8px;">Private Access</div>
-                <div style="font-size: 15px; color: #6b7280; margin-bottom: 32px;">Enter password to continue</div>
-            </div>
-            """)
-            pw = gr.Textbox(
-                label="Password",
-                type="password",
-                placeholder="Enter password",
-                scale=1,
-                container=True
-            )
-            login_btn = gr.Button("Continue", variant="primary", size="lg")
-            login_error = gr.Markdown("", visible=False)
-        
-        # Main App Section
-        with gr.Column(visible=False) as main_group:
-            # Header Section
-            gr.HTML("""
-            <div class="modern-header">
-                <h1>🚀 Python to C++ Code Optimizer</h1>
-                <p>AI-powered code conversion with real-time execution and performance analysis</p>
-            </div>
-            """)
-
-            # Security Warning
-            gr.HTML("""
-            <div class="security-warning">
-                <h3 style="color: #dc2626; margin: 0 0 8px 0;">⚠️ Security Warning</h3>
-                <p style="margin: 0; color: #991b1b; font-weight: 500;">
-                    This interface executes arbitrary code. <strong>Only run code from trusted sources.</strong><br>
-                    Malicious code can harm your system. Use at your own risk.
-                </p>
-            </div>
-            """)
-
-            # Main Content Area
-            with gr.Row():
-                with gr.Column(scale=1):
-                    gr.Markdown("### 📝 Python Code Input")
-                    python_input = gr.Textbox(
-                        label="Python Code:", 
-                        value=default_python, 
-                        lines=15,
-                        elem_classes=["python-input"],
-                        placeholder="Enter your Python code here..."
-                    )
-
-                    with gr.Row():
-                        model_selector = gr.Dropdown(
-                            ["GPT-4o", "Claude-3.5-Sonnet"], 
-                            label="Select AI Model", 
-                            value="GPT-4o",
-                            elem_classes=["model-selector"]
-                        )
-
-                    convert_button = gr.Button("✨ Convert to C++", elem_classes=["modern-button"])
-
-                with gr.Column(scale=1):
-                    gr.Markdown("### ⚡ Optimized C++ Code")
-                    cpp_output = gr.Textbox(
-                        label="Generated C++ Code:", 
-                        lines=15,
-                        elem_classes=["cpp-output"],
-                        interactive=False
-                    )
-
-            # Execution Section
-            gr.Markdown("---")
-            gr.Markdown("## 🏃 Code Execution & Performance Comparison")
-
-            with gr.Row():
-                with gr.Column():
-                    gr.Markdown("### 🐍 Python Output")
-                    run_python_button = gr.Button("▶️ Run Python", elem_classes=["run-button"])
-                    python_output = gr.Textbox(
-                        label="Python Execution Output:",
-                        lines=5,
-                        elem_classes=["python-output"],
-                        interactive=False
-                    )
-
-                with gr.Column():
-                    gr.Markdown("### ⚡ C++ Output")
-                    run_cpp_button = gr.Button("▶️ Run C++", elem_classes=["run-button"])
-                    cpp_execution_output = gr.Textbox(
-                        label="C++ Execution Output:",
-                        lines=5,
-                        elem_classes=["cpp-output-result"],
-                        interactive=False
-                    )
-
-            # Event handlers
-            convert_button.click(
-                fn=optimize,
-                inputs=[python_input, model_selector],
-                outputs=cpp_output
-            )
-
-            run_python_button.click(
-                fn=execute_python,
-                inputs=python_input,
-                outputs=python_output
-            )
-
-            run_cpp_button.click(
-                fn=execute_cpp,
-                inputs=cpp_output,
-                outputs=cpp_execution_output
-            )
-        
-        # Connect login button
-        login_btn.click(
-            fn=check_password,
-            inputs=[pw],
-            outputs=[login_group, main_group, login_error]
-        )
-
-    return app
-
-# Launch the app
-if __name__ == "__main__":
-    print("\n" + "="*50)
-    print(f"===== Application Startup at {__import__('datetime').datetime.now().strftime('%Y-%m-%d %H:%M:%S')} =====")
-    print("="*50)
-    
-    # Create the app
-    app = create_interface()
-    
-    # Check if running on Hugging Face Spaces
-    is_huggingface = os.getenv("SPACE_ID") is not None
-    
-    if is_huggingface:
-        # Hugging Face Spaces configuration
-        print("🚀 Launching Python to C++ Code Optimizer on Hugging Face Spaces")
-        print("🔐 Custom in-app password protection enabled")
-        app.launch(
-            show_error=True
-        )
-    else:
-        # Local development configuration
-        def get_available_port(start_port=7860):
-            """Find an available port starting from start_port"""
-            port = start_port
-            while port < start_port + 100:
-                try:
-                    with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
-                        s.bind(('', port))
-                        return port
-                except OSError:
-                    port += 1
-            return start_port
-        
-        port = get_available_port()
-        print(f"🚀 Launching Python to C++ Code Optimizer on port: {port}")
-        print(f"🔐 Custom in-app password protection enabled. Password: {APP_PASSWORD}")
-        
-        app.launch(
-            server_name="127.0.0.1",
-            server_port=port,
-            show_error=True
-        )
-