| | import gradio as gr |
| |
|
| | def fix_code(code_input, language, fix_mode): |
| | """ |
| | Placeholder function to 'fix' the code. |
| | In a real scenario, you'd integrate your LLM or custom logic here. |
| | """ |
| | |
| | fixed_code = f"# Fixed [{language} - {fix_mode}]\n" + code_input |
| | explanation = ( |
| | "Here's a mock explanation of what was fixed:\n" |
| | "1. Analyzed the code.\n" |
| | "2. Applied debugging/optimization.\n" |
| | "3. Returned updated code." |
| | ) |
| | return explanation, fixed_code |
| |
|
| | def run_code(code_input, language): |
| | """ |
| | Run the corrected code in a sandbox or a safe environment. |
| | Here, we just pretend to run it and return a mock output. |
| | |
| | IMPORTANT: Executing arbitrary code can be dangerous. |
| | In real-world apps, you need a secure sandbox environment. |
| | """ |
| | |
| | return f"Running [{language}] code...\nOutput:\nHello from the mock run!\n\nCode:\n{code_input}" |
| |
|
| | def chat_mode_interaction(user_input): |
| | """ |
| | Example 'Chat Mode' function. |
| | """ |
| | |
| | return f"You said: {user_input}\n\nAI says: This is a placeholder chat response." |
| |
|
| | |
| | with gr.Blocks(title="🎵💻 CodeTuneStudio - Fix, Optimize & Run") as demo: |
| | gr.Markdown( |
| | """ |
| | # 🎵💻 CodeTuneStudio - Fix, Optimize & Run |
| | **The Ultimate Debugging Machine** |
| | """ |
| | ) |
| |
|
| | |
| | with gr.Tab("Code Debug"): |
| | with gr.Row(): |
| | with gr.Column(): |
| | language = gr.Dropdown( |
| | label="Select Language", |
| | choices=["Python", "JavaScript", "C++", "Mistral", "Any"], |
| | value="Python" |
| | ) |
| | fix_mode = gr.Dropdown( |
| | label="Select Fix Mode", |
| | choices=["Fix Errors Only", "Fix + Optimize", "Fix + Explain"], |
| | value="Fix + Explain" |
| | ) |
| | code_input = gr.Textbox( |
| | label="Paste Your Code", |
| | lines=10, |
| | placeholder="Enter code here..." |
| | ) |
| | |
| | |
| | fix_button = gr.Button("⚙️ Fix Code") |
| | |
| | |
| | ai_explanation = gr.Textbox( |
| | label="AI Explanation", |
| | lines=5, |
| | interactive=False |
| | ) |
| | corrected_code = gr.Textbox( |
| | label="Corrected Code", |
| | lines=10, |
| | interactive=False |
| | ) |
| |
|
| | with gr.Column(): |
| | execution_output = gr.Textbox( |
| | label="Execution Output", |
| | lines=15, |
| | interactive=False |
| | ) |
| | run_button = gr.Button("▶️ Run My Code") |
| | |
| | |
| | fix_button.click( |
| | fix_code, |
| | inputs=[code_input, language, fix_mode], |
| | outputs=[ai_explanation, corrected_code] |
| | ) |
| | run_button.click( |
| | run_code, |
| | inputs=[corrected_code, language], |
| | outputs=execution_output |
| | ) |
| |
|
| | with gr.Tab("Chat Mode"): |
| | chat_input = gr.Textbox(label="Enter your message", lines=2) |
| | chat_output = gr.Textbox(label="Chat Output", lines=5, interactive=False) |
| | chat_button = gr.Button("Send") |
| | |
| | chat_button.click( |
| | chat_mode_interaction, |
| | inputs=chat_input, |
| | outputs=chat_output |
| | ) |
| |
|
| | demo.launch() |
| |
|