Update app.py

app.py

@@ -82,9 +82,9 @@ class ChatbotManager:
         self.conversation_history = []
         return "", []
     
-    def export_conversation(self, history: List[Tuple[str, str]]) -> str:
+    def export_conversation(self, history: List[Tuple[str, str]]) -> Tuple[str, Optional[str]]:
         if not history:
-            return "No conversation to export"
+            return "No conversation to export", None
         
         export_data = {
             "timestamp": datetime.now().isoformat(),
@@ -98,14 +98,13 @@ class ChatbotManager:
         filename = f"conversation_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
         
         try:
-            # For Hugging Face Spaces, use /tmp directory for writing files
             os.makedirs("/tmp", exist_ok=True)
             filepath = os.path.join("/tmp", filename)
             with open(filepath, 'w', encoding='utf-8') as f:
                 json.dump(export_data, f, indent=2, ensure_ascii=False)
-            return f"✅ Conversation exported to {filename}. Download it from the file explorer."
+            return f"✅ Conversation exported as {filename}", filepath
         except Exception as e:
-            return f"❌ Export failed: {str(e)}"
+            return f"❌ Export failed: {str(e)}", None
 
 # Initialize chatbot manager
 chatbot = ChatbotManager()
@@ -253,7 +252,7 @@ def create_interface():
             ### 4. **Chat Features**
             - Type messages and get intelligent responses
             - Clear conversation history anytime
-            - Export chat history as JSON (saved in /tmp directory)
+            - Export chat history as JSON (downloads automatically)
             - Regenerate the last response
             - Copy responses using the copy button
             
@@ -262,7 +261,7 @@ def create_interface():
             - **Multi-model support**: GPT-3.5, GPT-4, and variants
             - **Conversation memory**: Maintains context throughout the session
             - **Custom data integration**: Enhance responses with your own data
-            - **Export functionality**: Save conversations for later analysis
+            - **Export functionality**: Save conversations as JSON downloads
             - **Real-time validation**: API key and settings verification
             - **Visual indicators**: User and AI avatars
             
@@ -297,7 +296,7 @@ def create_interface():
         
         def handle_chat(user_input, history):
             if not user_input.strip():
-                return history, ""
+                return history or [], ""
             
             response, updated_history = chatbot.generate_response(user_input, history or [])
             return updated_history, ""
@@ -315,7 +314,8 @@ def create_interface():
             return chatbot.clear_conversation()
         
         def handle_export(history):
-            return chatbot.export_conversation(history or [])
+            status, filepath = chatbot.export_conversation(history or [])
+            return status, filepath
         
         def handle_regenerate(history):
             if not history:
@@ -381,7 +381,7 @@ def create_interface():
         export_btn.click(
             handle_export,
             inputs=[chatbot_interface],
-            outputs=[settings_status]
+            outputs=[settings_status, gr.File(visible=False)]
         )
         
         regenerate_btn.click(
@@ -425,11 +425,7 @@ def create_interface():
     return demo
 
 if __name__ == "__main__":
-    # Create and launch the interface
     demo = create_interface()
-    
-    # Launch with settings suitable for Hugging Face Spaces
     demo.launch(
-        server_name="0.0.0.0",
-        server_port=7860
+        share=True
     )