uncommented out other models

app.py

@@ -247,12 +247,12 @@ def interface():
                                 outputs=[ling_ents_prompt, gpt_ling_ents_chatbot])
             
             # Event Handler for LLaMA Chatbot
-            # ling_ents_btn.click(llama_respond, inputs=[linguistic_entities, ling_ents_prompt, llama_ling_ents_chatbot], 
-            #           outputs=[linguistic_entities, ling_ents_prompt, llama_ling_ents_chatbot])
+            ling_ents_btn.click(llama_respond, inputs=[linguistic_entities, ling_ents_prompt, llama_ling_ents_chatbot], 
+                      outputs=[linguistic_entities, ling_ents_prompt, llama_ling_ents_chatbot])
             
             # Event Handler for Vicuna Chatbot
-            # ling_ents_btn.click(vicuna_respond, inputs=[linguistic_entities, ling_ents_prompt, vicuna_ling_ents_chatbot], 
-            #           outputs=[linguistic_entities, ling_ents_prompt, vicuna_ling_ents_chatbot])
+            ling_ents_btn.click(vicuna_respond, inputs=[linguistic_entities, ling_ents_prompt, vicuna_ling_ents_chatbot], 
+                      outputs=[linguistic_entities, ling_ents_prompt, vicuna_ling_ents_chatbot])
 
         with gr.Tab("CoreNLP"):
             with gr.Row():
@@ -341,21 +341,20 @@ def interface():
                                 outputs=[task_prompt, gpt_S3_chatbot])
             
             # Event Handler for LLaMA Chatbot POS/Chunk
-            # task_btn.click(llama_strategies_respond, inputs=[strategy1, task, task_linguistic_entities, task_prompt, llama_S1_chatbot], 
-            #           outputs=[task, task_prompt, llama_S1_chatbot])
-            # task_btn.click(llama_strategies_respond, inputs=[strategy2, task, task_linguistic_entities, task_prompt, llama_S2_chatbot], 
-            #           outputs=[task, task_prompt, llama_S2_chatbot])
-            # task_btn.click(llama_strategies_respond, inputs=[strategy3, task, task_linguistic_entities, task_prompt, llama_S3_chatbot], 
-            #           outputs=[task, task_prompt, llama_S3_chatbot])
+            task_btn.click(llama_strategies_respond, inputs=[strategy1, task, task_linguistic_entities, task_prompt, llama_S1_chatbot], 
+                      outputs=[task, task_prompt, llama_S1_chatbot])
+            task_btn.click(llama_strategies_respond, inputs=[strategy2, task, task_linguistic_entities, task_prompt, llama_S2_chatbot], 
+                      outputs=[task, task_prompt, llama_S2_chatbot])
+            task_btn.click(llama_strategies_respond, inputs=[strategy3, task, task_linguistic_entities, task_prompt, llama_S3_chatbot], 
+                      outputs=[task, task_prompt, llama_S3_chatbot])
             
-            # vicuna_strategies_respond(strategy, task_name, task_ling_ent, message, chat_history):
             # Event Handlers for Vicuna Chatbot POS/Chunk
-            # task_btn.click(vicuna_strategies_respond, inputs=[strategy1, task, task_linguistic_entities, task_prompt, vicuna_S1_chatbot], 
-            #           outputs=[task, task_prompt, vicuna_S1_chatbot])
-            # task_btn.click(vicuna_strategies_respond, inputs=[strategy2, task, task_linguistic_entities, task_prompt, vicuna_S2_chatbot], 
-            #           outputs=[task, task_prompt, vicuna_S2_chatbot])
-            # task_btn.click(vicuna_strategies_respond, inputs=[strategy3, task, task_linguistic_entities, task_prompt, vicuna_S3_chatbot], 
-            #           outputs=[task, task_prompt, vicuna_S3_chatbot])
+            task_btn.click(vicuna_strategies_respond, inputs=[strategy1, task, task_linguistic_entities, task_prompt, vicuna_S1_chatbot], 
+                      outputs=[task, task_prompt, vicuna_S1_chatbot])
+            task_btn.click(vicuna_strategies_respond, inputs=[strategy2, task, task_linguistic_entities, task_prompt, vicuna_S2_chatbot], 
+                      outputs=[task, task_prompt, vicuna_S2_chatbot])
+            task_btn.click(vicuna_strategies_respond, inputs=[strategy3, task, task_linguistic_entities, task_prompt, vicuna_S3_chatbot], 
+                      outputs=[task, task_prompt, vicuna_S3_chatbot])
 
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.Markdown("""