Create app.py

app.py

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+import gradio as gr
+import google.generativeai as genai
+from functools import lru_cache
+import time
+
+# Initialize Gemini API (replace with your actual API key)
+genai.configure(api_key="AIzaSyBPQF0g5EfEPzEiGRzA3iNzJZK4jDukMvE")
+
+# Initialize the model
+model = genai.GenerativeModel('gemini-pro')
+
+# Cache for exercises
+@lru_cache(maxsize=100)
+def get_coding_exercise(topic, difficulty):
+    """Generate a coding exercise based on the given topic and difficulty."""
+    prompt = f"Briefly create a {difficulty} Python coding exercise about {topic}. Include a concise problem statement and expected output. Keep it under 100 words."
+    try:
+        response = model.generate_content(prompt, timeout=30)
+        return response.text
+    except Exception as e:
+        return f"Error generating exercise: {str(e)}"
+
+def evaluate_code(exercise, user_code):
+    """Evaluate the user's code submission."""
+    prompt = f"""
+    Exercise: {exercise}
+    
+    User's code:
+    {user_code}
+    
+    Briefly evaluate the code. Provide concise feedback on correctness, efficiency, and style. 
+    If there are errors, explain them. Suggest improvements. Keep the response under 150 words.
+    """
+    try:
+        response = model.generate_content(prompt, timeout=30)
+        return response.text
+    except Exception as e:
+        return f"Error evaluating code: {str(e)}"
+
+def tutor_interface(topic, difficulty):
+    with gr.Row():
+        gr.Markdown("Generating exercise...")
+    time.sleep(0.1)  # Small delay to ensure loading message is shown
+    exercise = get_coding_exercise(topic, difficulty)
+    return exercise
+
+def submit_solution(exercise, user_code):
+    with gr.Row():
+        gr.Markdown("Evaluating solution...")
+    time.sleep(0.1)  # Small delay to ensure loading message is shown
+    feedback = evaluate_code(exercise, user_code)
+    return feedback
+
+# Create the Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("# Intelligent Code Tutor")
+    
+    with gr.Row():
+        topic_input = gr.Textbox(label="Topic (e.g., 'loops', 'lists', 'functions')")
+        difficulty_input = gr.Dropdown(["easy", "medium", "hard"], label="Difficulty")
+    
+    generate_btn = gr.Button("Generate Exercise")
+    exercise_output = gr.Textbox(label="Coding Exercise", lines=10)
+    
+    generate_btn.click(tutor_interface, inputs=[topic_input, difficulty_input], outputs=exercise_output)
+    
+    code_input = gr.Code(language="python", label="Your Solution")
+    submit_btn = gr.Button("Submit Solution")
+    feedback_output = gr.Textbox(label="Feedback", lines=10)
+    
+    submit_btn.click(submit_solution, inputs=[exercise_output, code_input], outputs=feedback_output)
+
+if __name__ == "__main__":
+    demo.launch()