removed system from gpt

app.py

@@ -20,20 +20,18 @@ def update_api_key(new_key):
     os.environ['OPENAI_API_TOKEN'] = new_key
     openai.api_key = os.environ['OPENAI_API_TOKEN']
 
-def chat(system_prompt, user_prompt, model = 'gpt-3.5-turbo', temperature = 0, verbose = False):
+def chat(user_prompt, model = 'gpt-3.5-turbo', temperature = 0, verbose = False):
     ''' Normal call of OpenAI API '''
     response = openai.ChatCompletion.create(
     temperature = temperature,
     model=model,
     messages=[
-        {"role": "system", "content": system_prompt},
         {"role": "user", "content": user_prompt}
     ])
     
     res = response['choices'][0]['message']['content']
     
     if verbose:
-        print('System prompt:', system_prompt)
         print('User prompt:', user_prompt)
         print('GPT response:', res)
         
@@ -52,10 +50,9 @@ def gpt_respond(have_key, tab_name, message, chat_history, max_convo_length = 10
         return "", chat_history
     
     formatted_prompt = format_chat_prompt(message, chat_history, max_convo_length)
-    print('Prompt + Context:')
+    print('GPT ling ents Prompt + Context:')
     print(formatted_prompt)
-    bot_message = chat(system_prompt = f'''Generate the output only for the assistant. Output any <{tab_name}> in the following sentence one per line.''',
-                       user_prompt = formatted_prompt)
+    bot_message = chat(user_prompt = f'''Generate the output only for the assistant. Output any <{tab_name}> in the following sentence one per line: "{formatted_prompt}"''')
     chat_history.insert(0, (message, bot_message))
     return "", chat_history
 
@@ -117,10 +114,9 @@ def gpt_strategies_respond(have_key, strategy, task_name, task_ling_ent, message
             formatted_system_prompt = f'''"{demon_chunk}". Using the POS tag structure above, POS tag the following sentence: "{message}"'''
         
     formatted_prompt = format_chat_prompt(message, chat_history, max_convo_length)
-    print('Prompt + Context:')
+    print('GPT coreNLP Prompt + Context:')
     print(formatted_prompt)
-    bot_message = chat(system_prompt = formatted_system_prompt,
-                    user_prompt = formatted_prompt)
+    bot_message = chat(user_prompt = formatted_system_prompt)
     chat_history.insert(0, (message, bot_message))
     return "", chat_history
 
@@ -251,12 +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():
@@ -349,8 +345,8 @@ def interface():
             #           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=[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
@@ -358,8 +354,8 @@ def interface():
             #           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=[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("""