Update app.py

app.py

@@ -47,6 +47,7 @@ class AgentMemory:
 
     def add_short_term(self, data: Dict[str, Any]) -> None:
         self.short_term.append(data)
+        # Keep only the last 10 entries
         if len(self.short_term) > 10:
             self.short_term.pop(0)
 
@@ -72,6 +73,7 @@ class AgentHub:
         self.global_memory = AgentMemory()
         self.session_id = str(uuid.uuid4())
 
+        # Initialize NLP components
         try:
             self.tokenizer = AutoTokenizer.from_pretrained("distilgpt2")
             self.model = AutoModelForCausalLM.from_pretrained("distilgpt2")
@@ -1021,7 +1023,6 @@ def create_gradio_interface():
                 chain_input = gr.Textbox(label="Input", placeholder="Enter your request for the chain...")
                 chain_sequence = gr.Textbox(label="Agent Sequence", placeholder="Comma-separated agent names (e.g., text_processing,data_analysis)")
                 chain_output = gr.JSON(label="Chain Output")
-                # Use a hidden state component for request type instead of a literal string
                 chain_type = gr.State("chain")
                 chain_btn = gr.Button("Process Chain")
                 chain_btn.click(fn=process_request, inputs=[chain_type, chain_input, chain_sequence], outputs=chain_output)
@@ -1046,4 +1047,4 @@ def create_gradio_interface():
 
 if __name__ == "__main__":
     demo = create_gradio_interface()
-    demo.launch(server_name="0.0.0.0", server_port=7860, share=True, enable_queue=True)
+    demo.launch(server_name="0.0.0.0", server_port=7860, share=True)