testing gpt response

app.py

@@ -89,7 +89,10 @@ def llama_respond(tab_name, message, chat_history):
     time.sleep(2)
     return tab_name, "", chat_history
 
-def gpt_strategies_respond(strategy, task_name, task_ling_ent, message, chat_history, max_convo_length = 10):
+def gpt_strategies_respond(have_key, strategy, task_name, task_ling_ent, message, chat_history, max_convo_length = 10):
+    if (have_key == "No"):
+        return "", chat_history
+    
     formatted_system_prompt = ""
     if (task_name == "POS Tagging"):
         if (strategy == "S1"):
@@ -244,7 +247,7 @@ def interface():
             # Inputs
             task_prompt = gr.Textbox(show_label=False, placeholder="Write a prompt and press enter")
             with gr.Row():
-                have_key = gr.Dropdown(["Yes", "No"], label="Do you own an API Key?", scale=0)
+                have_key = gr.Dropdown(["Yes", "No"], label="Do you own an API Key?", scale=0.5)
                 task_apikey_input = gr.Textbox(label="Open AI Key", placeholder="Enter your OpenAI key here", type="password", visible=True)
             task = gr.Dropdown(["POS Tagging", "Chunking"], label="Task")
             task_linguistic_entities = gr.Dropdown(["Noun", "Determiner", "Noun phrase", "Verb phrase", "Dependent clause", "T-units"], label="Linguistic Entity For Strategy 1")
@@ -296,8 +299,8 @@ def interface():
             #           outputs=[task, task_prompt, vicuna_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=[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], 
@@ -306,13 +309,12 @@ def interface():
             # Event Handler for GPT 3.5 Chatbot POS/Chunk, user must submit api key before submitting the prompt
             # Will activate after getting API key
             # task_apikey_btn.click(update_api_key, inputs=ling_ents_apikey_input)
-            if (have_key.value == "Yes"):
-                task_btn.click(gpt_strategies_respond, inputs=[strategy1, task, task_linguistic_entities, task_prompt, gpt_S1_chatbot], 
-                                    outputs=[task, task_prompt, gpt_S1_chatbot])
-                task_btn.click(gpt_strategies_respond, inputs=[strategy1, task, task_linguistic_entities, task_prompt, gpt_S2_chatbot], 
-                                    outputs=[task, task_prompt, gpt_S2_chatbot])
-                task_btn.click(gpt_strategies_respond, inputs=[strategy1, task, task_linguistic_entities, task_prompt, gpt_S3_chatbot], 
-                                    outputs=[task, task_prompt, gpt_S3_chatbot])
+            task_btn.click(gpt_strategies_respond, inputs=[have_key, strategy1, task, task_linguistic_entities, task_prompt, gpt_S1_chatbot], 
+                                outputs=[task, task_prompt, gpt_S1_chatbot])
+            task_btn.click(gpt_strategies_respond, inputs=[have_key, strategy1, task, task_linguistic_entities, task_prompt, gpt_S2_chatbot], 
+                                outputs=[task, task_prompt, gpt_S2_chatbot])
+            task_btn.click(gpt_strategies_respond, inputs=[have_key, strategy1, task, task_linguistic_entities, task_prompt, gpt_S3_chatbot], 
+                                outputs=[task, task_prompt, gpt_S3_chatbot])