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| import gradio as gr | |
| import ast | |
| def grade(student_code): | |
| feedback = [] | |
| grade = 10 # Start with full points | |
| try: | |
| tree = ast.parse(student_code) | |
| ema_detected = False | |
| i2s_used = False | |
| rms_calculation = False | |
| db_conversion = False | |
| for node in ast.walk(tree): | |
| # Check for I2S microphone usage | |
| if isinstance(node, ast.Assign) and isinstance(node.value, ast.Call): | |
| if isinstance(node.value.func, ast.Name) and node.value.func.id == "I2S": | |
| i2s_used = True | |
| # Check for RMS calculation | |
| if isinstance(node, ast.FunctionDef) and node.name == "calculate_rms": | |
| rms_calculation = True | |
| # Check for dB conversion | |
| if isinstance(node, ast.FunctionDef) and node.name == "rms_to_db": | |
| db_conversion = True | |
| # Check for EMA implementation | |
| if isinstance(node, ast.Assign) and isinstance(node.value, ast.BinOp): | |
| if isinstance(node.value.op, ast.Add) and isinstance(node.value.left, ast.BinOp): | |
| if isinstance(node.value.left.op, ast.Mult): | |
| ema_detected = True | |
| if not i2s_used: | |
| feedback.append("⛔️ No I2S microphone setup detected (-3 pts).") | |
| grade -= 3 | |
| else: | |
| feedback.append("✅ I2S microphone setup detected (+3 pts).") | |
| if not rms_calculation: | |
| feedback.append("⛔️ No RMS calculation function detected (-2 pts).") | |
| grade -= 2 | |
| else: | |
| feedback.append("✅ RMS calculation function detected (+2 pts).") | |
| if not db_conversion: | |
| feedback.append("⛔️ No RMS to dB conversion function detected (-2 pts).") | |
| grade -= 2 | |
| else: | |
| feedback.append("✅ RMS to dB conversion function detected (+2 pts).") | |
| if not ema_detected: | |
| feedback.append("⛔️ No exponential moving average (EMA) detected (-3 pts).") | |
| grade -= 3 | |
| else: | |
| feedback.append("✅ Exponential moving average (EMA) detected (+3 pts).") | |
| except Exception as e: | |
| feedback = [f"⛔️ Error parsing code: {e}"] | |
| grade = 0 | |
| grade = max(0, grade) | |
| grade = f"{grade}/10" | |
| feedback = "\n".join(feedback) | |
| return grade, feedback | |
| # Interface Gradio seulement si le script est exécuté directement | |
| if __name__ == "__main__": | |
| with gr.Blocks(gr.themes.Default(primary_hue="cyan")) as demo: | |
| with gr.Row(): | |
| instructions = gr.Markdown(""" | |
| ## Instructions | |
| 1. Based on the examples you've seen so far, write a MicroPython code that follows the instructions above. | |
| 2. You can use the [Vittascience simulator](https://fr.vittascience.com/esp32/?mode=code&console=bottom&toolbox=scratch&simu=1&board=basic-esp32) to test your code. | |
| 2. Click the "Grade" button to get a grade and feedback. | |
| 3. Make sure your code is well-structured and efficient. | |
| 4. When you're happy with your code, please upload your solution below to get graded. | |
| 6. Good luck! | |
| """, container=False) | |
| code = gr.Code(label="MicroPython code", language="python", value='import machine\nimport time\nimport math\nfrom machine import I2S, Pin\n\n# Define your I2S pins\nCK_PIN = 32 # Clock pin\nWS_PIN = 31 # Word Select (LRCLK)\nSD_PIN = 26 # Serial Data\n\n# Your code here', lines=24) | |
| with gr.Row(): | |
| feedback_output = gr.Textbox(label="Feedback", value="Click on the 'Grade' button to get feedback", interactive=False, scale=4) | |
| grade_output = gr.Textbox(label="Grade", interactive=False, value="0/10", scale=1) | |
| grade_btn = gr.Button("Grade", variant="primary") | |
| grade_btn.click(fn=grade, inputs=code, outputs=[grade_output, feedback_output], api_name="grade") | |
| demo.launch(show_error=False, allowed_paths=["/assets", "assets"], show_api=False) |