message de commit

app.py

@@ -636,11 +636,34 @@ if __name__ == "__main__":
     app_state = AppState()
     app_state.reset_with_questions(questions)
     
-    # Define a basic function to return the current question for demonstration
-    def get_question():
-        q = app_state.get_current_question()
-        return q["question"] if q else "Fin des questions."
+    # Prepare the first question display
+    curr = app_state.get_current_question()
+    init_display = f"{curr['question']}\n\n" + "\n".join(curr["options"]) if curr else "Aucune question."
+    
+    with gr.Blocks() as demo:
+        gr.Markdown("## Quiz de Deep Learning")
+        q_box = gr.Markdown(init_display)
+        answer_radio = gr.Radio(choices=curr["options"] if curr else [], label="Votre réponse")
+        message = gr.Markdown("")
+        
+        def submit_answer(selected_option):
+            curr_q = app_state.get_current_question()
+            # Si pas de question courante, rien à faire.
+            if curr_q is None:
+                return q_box.update(value="Quiz terminé."), gr.Radio.update(choices=[], value=None, interactive=False), message.update(value="")
+            # Enregister la réponse
+            is_correct = (selected_option == curr_q["correct"])
+            app_state.add_result(curr_q, selected_option, is_correct)
+            nxt = app_state.next_question()
+            if nxt:
+                display = f"{nxt['question']}\n\n" + "\n".join(nxt["options"])
+                return q_box.update(value=display), gr.Radio.update(choices=nxt["options"], value=None), message.update(value="")
+            else:
+                stats = calculate_stats(app_state.results)
+                final_msg = "Quiz terminé.\n\n" + stats
+                return q_box.update(value=final_msg), gr.Radio.update(choices=[], value=None, interactive=False), message.update(value="")
+        
+        submit_btn = gr.Button("Submit")
+        submit_btn.click(fn=submit_answer, inputs=answer_radio, outputs=[q_box, answer_radio, message])
     
-    # Create and launch Gradio interface
-    demo = gr.Interface(fn=get_question, inputs=[], outputs="text", live=True)
     demo.launch()