Upload app.py

app.py

@@ -80,7 +80,12 @@ def extract_word_level_features(audio_path):
 
 def chat_interaction(audio_input, history_state):
     if not api_key_found: raise gr.Error("OpenAI API key not found.")
-    if audio_input is None: return history_state, history_state, gr.Markdown(visible=False), gr.Markdown(visible=False)
+    if audio_input is None:
+        user_turns = len(history_state[1:]) // 2 if history_state else 0
+        responses_remaining = 5 - user_turns
+        # Muestra el estado actual sin hacer nada si no hay audio
+        chat_display = [(history_state[i]['content'], history_state[i+1]['content']) for i in range(1, len(history_state), 2)]
+        return chat_display, history_state, f"Responses remaining: {responses_remaining}", gr.update(visible=False), gr.update(visible=False)
 
     sr, y = audio_input; temp_audio_path = "temp_audio_chat.wav"; sf.write(temp_audio_path, y, sr)
     user_text = client.audio.transcriptions.create(model="whisper-1", file=open(temp_audio_path, "rb")).text
@@ -90,16 +95,17 @@ def chat_interaction(audio_input, history_state):
 
     history_state.append({"role": "user", "content": user_text})
     
-    chat_display = [(history_state[i]['content'], history_state[i+1]['content']) for i in range(1, len(history_state), 2)]
-
-    if len(history_state) < 10:
+    user_turns = (len(history_state) - 1) // 2
+    responses_remaining = 5 - user_turns
+    
+    if user_turns < 5:
         response = client.chat.completions.create(model="gpt-4o", messages=history_state, temperature=0.7)
         ai_response = response.choices[0].message.content
         history_state.append({"role": "assistant", "content": ai_response})
-        chat_display.append((user_text, ai_response))
-        return chat_display, history_state, gr.Markdown(visible=False), gr.Markdown(visible=False)
-    else:
-        print("Generating final evaluation...");
+        chat_display = [(history_state[i]['content'], history_state[i+1]['content']) for i in range(1, len(history_state), 2)]
+        return chat_display, history_state, f"Responses remaining: {responses_remaining}", gr.update(visible=False), gr.update(visible=False)
+    else: # Turno 5: generar evaluación
+        print("Generating final evaluation...")
         final_messages = [{"role": "system", "content": FINAL_EVALUATION_SYSTEM_PROMPT}] + history_state[1:]
         response = client.chat.completions.create(model="gpt-4o", response_format={"type": "json_object"}, messages=final_messages)
         try:
@@ -108,10 +114,16 @@ def chat_interaction(audio_input, history_state):
             for item in fb_en.get('word_by_word_feedback', []): md_en += f"- **{item['word']}**: {item['feedback']}\n"
             fb_es = result.get('feedback_es', {}); md_es = f"## Reporte Final (Nivel MCERL: {result.get('cefr_level', 'N/A')})\n### Fortalezas\n{fb_es.get('fortalezas', '')}\n### Áreas a Mejorar\n{fb_es.get('areas_a_mejorar', '')}\n### Retroalimentación por Palabra\n"
             for item in fb_es.get('feedback_por_palabra', []): md_es += f"- **{item['palabra']}**: {item['feedback']}\n"
-            chat_display.append((user_text, "Thank you for the conversation! Here is your final report below."))
-            return chat_display, [], gr.Markdown(value=md_en, visible=True), gr.Markdown(value=md_es, visible=True)
-        except (json.JSONDecodeError, KeyError) as e:
-            print(f"Error parsing final report: {e}"); return [], [], gr.Markdown(value="Error generating report.", visible=True), gr.Markdown(visible=False)
+            
+            chat_display = [(history_state[i]['content'], history_state[i+1]['content']) for i in range(1, len(history_state)-1, 2)]
+            chat_display.append((user_text, "Thank you! Your final report is now available on the right."))
+            
+            # --- CAMBIO CLAVE: Reiniciamos el historial para la siguiente conversación ---
+            return chat_display, [], "Conversation finished!", gr.update(value=md_en, visible=True), gr.update(value=md_es, visible=True)
+        except Exception as e:
+            print(f"Error parsing final report: {e}")
+            chat_display = [(history_state[i]['content'], history_state[i+1]['content']) for i in range(1, len(history_state)-1, 2)]
+            return chat_display, [], "Error!", gr.update(value="Error generating report.", visible=True), gr.update(visible=False)
 
 def run_sentence_evaluation(audio_input, reference_transcript):
     if not api_key_found: raise gr.Error("OpenAI API key not found.")
@@ -143,21 +155,54 @@ def run_sentence_evaluation(audio_input, reference_transcript):
         print(f"Error processing API response: {e}"); error_msg = "The API response was not in the expected format."
         return 0, "Error", error_msg, ""
 
-# --- 3. INTERFAZ DE GRADIO CON PESTAÑAS ---
+# --- 3. INTERFAZ DE GRADIO CON PESTAÑAS (Con ajustes en la Pestaña 1) ---
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.Markdown("# 🇬🇧 AI English Speaking Practice & Assessment")
+    
     with gr.Tabs():
-        # --- PESTAÑA 1: CHAT AI ---
+        # --- PESTAÑA 1: CHAT AI (CON MEJORAS) ---
         with gr.TabItem("Práctica Conversacional (Chat AI)"):
             with gr.Row():
                 with gr.Column(scale=2):
                     chatbot = gr.Chatbot(value=[(None, "Hi there! I'm Alex. How are you doing today?")], label="Conversation with your AI Tutor", height=500)
                     audio_in_chat = gr.Audio(sources=["microphone"], type="numpy", label="Record your response")
+                    with gr.Row():
+                        counter_out = gr.Textbox(value="Responses remaining: 5", label="Conversation Progress", interactive=False)
+                        # --- CAMBIO: Botón para reiniciar la conversación completa ---
+                        new_conversation_btn = gr.Button("New Conversation")
+                        
                 with gr.Column(scale=1):
-                    gr.Markdown("### Final Report"); feedback_en_out = gr.Markdown(label="English Feedback", visible=False); feedback_es_out = gr.Markdown(label="Retroalimentación en Español", visible=False)
-            history = gr.State([])
-            audio_in_chat.stop_recording(fn=chat_interaction, inputs=[audio_in_chat, history], outputs=[chatbot, history, feedback_en_out, feedback_es_out])
+                    gr.Markdown("### Final Report")
+                    feedback_en_out = gr.Markdown(label="English Feedback", visible=False)
+                    feedback_es_out = gr.Markdown(label="Retroalimentación en Español", visible=False)
 
+            history = gr.State([])
+            
+            # Función para borrar el audio después de enviarlo (no es un botón, es una acción)
+            def clear_audio_input():
+                return None
+            
+            # Función para reiniciar toda la conversación
+            def clear_conversation():
+                return [], [(None, "Hi there! I'm Alex. How are you doing today?")], "Responses remaining: 5", gr.update(visible=False), gr.update(visible=False), None
+            
+            # --- CAMBIO: Se renombra el botón y se conecta a la nueva función de reinicio ---
+            new_conversation_btn.click(
+                fn=clear_conversation, 
+                inputs=[], 
+                outputs=[history, chatbot, counter_out, feedback_en_out, feedback_es_out, audio_in_chat]
+            )
+            
+            audio_in_chat.stop_recording(
+                fn=chat_interaction,
+                inputs=[audio_in_chat, history],
+                outputs=[chatbot, history, counter_out, feedback_en_out, feedback_es_out]
+            ).then(
+                fn=clear_audio_input,
+                inputs=[],
+                outputs=[audio_in_chat]
+            )
+            
         # --- PESTAÑA 2: EVALUACIÓN POR FRASE ---
         with gr.TabItem("Evaluación por Frase"):
             TONGUE_TWISTERS = ["Peter Piper picked a peck of pickled peppers.", "She sells seashells by the seashore.", "How much wood would a woodchuck chuck if a woodchuck could chuck wood?", "Betty Botter bought some butter but she said the butter’s bitter.", "A proper copper coffee pot."]