Update app.py

app.py

@@ -12,24 +12,24 @@ from typing import List, Dict, Optional, Any, Tuple
 
 
 # Configuration
-SPACE_NAME = 'Language Learning Partner'
-SPACE_DESCRIPTION = 'AI Italian conversation partner'
+SPACE_NAME = 'AmigAI Demo (v1.2b)'
+SPACE_DESCRIPTION = 'Help AmigAI download an app to their phone while practicing imperative verbs and the prepositions "por" and "para" in Spanish'
 
 # Default configuration values
 DEFAULT_CONFIG = {
     'name': SPACE_NAME,
     'description': SPACE_DESCRIPTION,
-    'system_prompt': "You are Domenico from Sicily, a Juventus football fan, native Italian speaker serving as a conversational partner for university students in an Italian 101 class. Students will interact and converse with you in Italian, and you must respond EXCLUSIVELY IN ITALIAN without providing English translations, using vocabulary appropriate for beginner-level Italian 101 students. Focus your responses on topics suitable for beginners such as sports, daily life, routines, food, numbers, and hobbies. When students make errors, model the correct forms naturally in your response without explicitly pointing out mistakes, allowing them to learn through exposure to proper usage. Recognize when students demonstrate more advanced abilities and adjust your language complexity accordingly, while ensuring your Italian remains error-free. Keep all responses between 5-50 words, making sure sentences are grammatically complete. Limit all verb conjugations to the present tense only, avoiding all other verb forms and tenses. Address students using the informal second-person singular 'tu' form.",
-    'temperature': 0.5,
-    'max_tokens': 250,
+    'system_prompt': 'Actuarás como una persona que no sabe manejar la tecnología y necesita instrucciones en español para descargar una aplicación a su celular. Tu nombre es AmigAI y dominas una variedad amplia del español que incluye todas las variedades habladas en Latinoamérica, menos la hablada en España. Tu interacción consistirá en saludar, presentarte y solicitar ayuda para entender el paso a paso de la descarga de una aplicación cualquiera a un smartphone. En el proceso puedes realizarle preguntas al estudiante para que especifique sus instrucciones usando las preposiciones por y para. Si el interlocutor no usa esas preposiciones de manera adecuada o no conjuga los verbos de la instrucción en imperativo de manera correcta, le pedirás que refórmele o que repita su instrucción. Si el error persiste, le darás opciones de respuesta posible para que elija la forma más adecuada y la escriba. El objetivo se logrará una vez que el estudiante te logre dar cinco instrucciones continuas de manera correcta. Una vez se logre el objetivo, le darás una devolución sobre los errores que cometió al escribir en español y las posibles formas de corregirlos, y le recordarás que debe descargar su interacción y enviarla por correo al profesor. Los estudiantes son de nivel intermedio bajo así que no usarás vocabulario muy complejo ni tampoco estructuras como el subjuntivo. Espera terminar cada respuesta en menos de 150 tokens.',
+    'temperature': 0.7,
+    'max_tokens': 150,
     'model': 'google/gemma-3-27b-it',
     'api_key_var': 'API_KEY',
-    'theme': 'Default',
-    'grounding_urls': ["https://www.pnac.org/wp-content/uploads/Italian-Study-Guide.pdf"],
+    'theme': 'Base',
+    'grounding_urls': [],
     'enable_dynamic_urls': True,
     'enable_file_upload': True,
-    'examples': ['Ciao! Come stai oggi?', 'Mi piace giocare a calcio. E tu?', 'Cosa mangi di solito a colazione?', 'A che ora ti svegli la mattina?', 'Qual è il tuo sport preferito?'],
-    'language': 'Italian',
+    'examples': ['¡Saludos!', 'Buenas tardes', 'Buenos días'],
+    'language': 'Spanish',
     'locked': False
 }
 
@@ -183,13 +183,7 @@ def fetch_url_content(url: str, max_length: int = 3000) -> str:
             return f"❌ Invalid URL format: {url}"
         
         headers = {
-            'User-Agent': 'Mozilla/5.0 (compatible; HuggingFace-Space/1.0)',
-            'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
-            'Accept-Language': 'en-US,en;q=0.5',
-            'Accept-Encoding': 'gzip, deflate',
-            'DNT': '1',
-            'Connection': 'keep-alive',
-            'Upgrade-Insecure-Requests': '1'
+            'User-Agent': 'Mozilla/5.0 (compatible; HuggingFace-Space/1.0)'
         }
         
         response = requests.get(url, headers=headers, timeout=5)
@@ -235,7 +229,7 @@ def fetch_url_content(url: str, max_length: int = 3000) -> str:
 
 def extract_urls_from_text(text: str) -> List[str]:
     """Extract URLs from message text"""
-    url_pattern = r'https?://[^\s<>"{}|\\^`\[\]]+(?:\.[^\s<>"{}|\\^`\[\]])*'
+    url_pattern = r'https?://[^\s<>"{}\|\\^`\[\]]+(?:\.[^\s<>"{}\|\\^`\[\]])*'
     urls = re.findall(url_pattern, text)
     return [url.rstrip('.,;:)?!') for url in urls]
 
@@ -335,17 +329,18 @@ def get_grounding_context() -> str:
     return ""
 
 
-def export_conversation_to_markdown(history: List[Dict[str, str]]) -> str:
-    """Export conversation history to markdown"""
+def export_conversation_to_text(history: List[Dict[str, str]]) -> str:
+    """Export conversation history to text with timestamps"""
     if not history:
         return "No conversation to export."
     
-    markdown_content = f"""# Conversation Export
+    text_content = f"""Conversation Export
+==================
 Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
 Space: {SPACE_NAME}
 Model: {MODEL}
 
----
+==================
 
 """
     
@@ -355,15 +350,28 @@ Model: {MODEL}
             role = message.get('role', 'unknown')
             content = message.get('content', '')
             
+            # Get timestamp from message or use current time as fallback
+            timestamp_str = message.get('timestamp', '')
+            if timestamp_str:
+                try:
+                    # Parse ISO format timestamp and format it nicely
+                    timestamp = datetime.fromisoformat(timestamp_str)
+                    formatted_timestamp = timestamp.strftime('%Y-%m-%d %H:%M:%S')
+                except:
+                    formatted_timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
+            else:
+                formatted_timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
+            
+            # Get message length
+            msg_length = message.get('length', len(content))
+            
             if role == 'user':
                 message_count += 1
-                markdown_content += f"## User Message {message_count}\n\n{content}\n\n"
+                text_content += f"[{formatted_timestamp}] User Message {message_count} ({msg_length} chars):\n{content}\n\n"
             elif role == 'assistant':
-                markdown_content += f"## Assistant Response {message_count}\n\n{content}\n\n---\n\n"
+                text_content += f"[{formatted_timestamp}] Assistant Response {message_count} ({msg_length} chars):\n{content}\n\n------------------\n\n"
     
-    return markdown_content
-
-
+    return text_content
 
 
 def generate_response(message: str, history: List[Dict[str, str]], files: Optional[List] = None) -> str:
@@ -594,7 +602,7 @@ def create_interface():
                         submit_btn = gr.Button("Send", variant="primary")
                         clear_btn = gr.Button("Clear")
                     
-                    # Export functionality  
+                    # Export functionality
                     with gr.Row():
                         # Use a regular Button for triggering export
                         export_trigger_btn = gr.Button(
@@ -615,18 +623,18 @@ def create_interface():
                             return None
                         
                         try:
-                            content = export_conversation_to_markdown(chat_history)
+                            content = export_conversation_to_text(chat_history)
                             
                             # Create filename
                             space_name_safe = re.sub(r'[^a-zA-Z0-9]+', '_', SPACE_NAME).lower()
                             timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
-                            filename = f"{space_name_safe}_conversation_{timestamp}.md"
+                            filename = f"{space_name_safe}_conversation_{timestamp}.txt"
                             
                             # Save to temp file
                             temp_path = Path(tempfile.gettempdir()) / filename
                             temp_path.write_text(content, encoding='utf-8')
                             
-                            # Return the file path for download
+                            # Return the file component with visibility and value
                             return gr.File(visible=True, value=str(temp_path))
                         except Exception as e:
                             gr.Error(f"Failed to export conversation: {str(e)}")
@@ -659,10 +667,13 @@ def create_interface():
                         # Get response
                         response = generate_response(message, formatted_history, files_state)
                         
-                        # Update chat history
+                        # Get current timestamp
+                        current_time = datetime.now()
+                        
+                        # Update chat history with timestamps and message lengths
                         chat_history = chat_history + [
-                            {"role": "user", "content": message},
-                            {"role": "assistant", "content": response}
+                            {"role": "user", "content": message, "timestamp": current_time.isoformat(), "length": len(message)},
+                            {"role": "assistant", "content": response, "timestamp": current_time.isoformat(), "length": len(response)}
                         ]
                         
                         # Update stored history for export
@@ -1092,12 +1103,4 @@ def create_interface():
 # Create and launch the interface
 if __name__ == "__main__":
     demo = create_interface()
-    # Launch with appropriate settings for HuggingFace Spaces
-    demo.launch(
-        server_name="0.0.0.0",
-        server_port=7860,
-        share=False,
-        # Add allowed CORS origins if needed
-        # Since this is a Gradio app, CORS is handled by Gradio itself
-        # For custom API endpoints, you would need to add CORS middleware
-    )
+    demo.launch()