testing key secret

app.py

@@ -37,11 +37,8 @@ def linguistic_features_fn(message):
 
     return formatted_output
 
-def update_api_key(new_key):
-    print("update_api_key ran")
-    global api_key
-    os.environ['OPENAI_API_TOKEN'] = new_key
-    openai.api_key = os.environ['OPENAI_API_TOKEN']
+os.environ['OPENAI_API_TOKEN'] = OPENAI_API_KEY
+openai.api_key = os.environ['OPENAI_API_TOKEN']
 
 def chat(user_prompt, model = 'gpt-3.5-turbo', temperature = 0, verbose = False):
     ''' Normal call of OpenAI API '''
@@ -68,9 +65,9 @@ def format_chat_prompt(message, chat_history, max_convo_length):
     prompt = f"{prompt}\nUser: {message}\nAssistant:"
     return prompt
 
-def gpt_respond(have_key, tab_name, message, chat_history, max_convo_length = 10):
-    if (have_key == "No"):
-        return "", chat_history
+def gpt_respond(tab_name, message, chat_history, max_convo_length = 10):
+    # if (have_key == "No"):
+    #     return "", chat_history
     
     formatted_prompt = format_chat_prompt(message, chat_history, max_convo_length)
     print('GPT ling ents Prompt + Context:')
@@ -112,9 +109,9 @@ def llama_respond(tab_name, message, chat_history):
     time.sleep(2)
     return tab_name, "", chat_history
 
-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
+def gpt_strategies_respond(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"):
@@ -246,10 +243,10 @@ def interface():
 
             # Inputs
             ling_ents_prompt = gr.Textbox(show_label=False, placeholder="Write a prompt here")
-            with gr.Row():
-                # Will activate after getting API key
-                have_key2 = gr.Dropdown(["Yes", "No"], label="Do you own an API Key?", scale=0.5)
-                ling_ents_apikey_input = gr.Textbox(label="Open AI Key", placeholder="Enter your OpenAI key here", type="password")
+            # with gr.Row():
+            #     # Will activate after getting API key
+            #     have_key2 = gr.Dropdown(["Yes", "No"], label="Do you own an API Key?", scale=0.5)
+            #     ling_ents_apikey_input = gr.Textbox(label="Open AI Key", placeholder="Enter your OpenAI key here", type="password")
             linguistic_entities = gr.Dropdown(["Noun", "Determiner", "Noun phrase", "Verb phrase", "Dependent clause", "T-units"], label="Linguistic Entity", allow_custom_value=True, info="If your choice is not included in the options, please type your own.")
             ling_ents_btn = gr.Button(value="Submit")
 
@@ -266,7 +263,7 @@ def interface():
             #                                    vicuna_ling_ents_chatbot, llama_ling_ents_chatbot, gpt_ling_ents_chatbot,])
                                                
             # Event Handler for API Key
-            ling_ents_btn.click(update_api_key, inputs=ling_ents_apikey_input)
+            # ling_ents_btn.click(update_api_key, inputs=ling_ents_apikey_input)
 
             def update_textbox(prompt):
                 return prompt
@@ -277,7 +274,7 @@ def interface():
             ling_ents_btn.click(linguistic_features_fn, inputs=[ling_ents_prompt], outputs=[linguistic_features_textbox])
 
             # Event Handler for GPT 3.5 Chatbot
-            ling_ents_btn.click(gpt_respond, inputs=[have_key2, linguistic_entities, ling_ents_prompt, gpt_ling_ents_chatbot], 
+            ling_ents_btn.click(gpt_respond, inputs=[linguistic_entities, ling_ents_prompt, gpt_ling_ents_chatbot], 
                                 outputs=[ling_ents_prompt, gpt_ling_ents_chatbot])
             
             # Event Handler for LLaMA Chatbot
@@ -331,9 +328,9 @@ def interface():
             
             # Inputs
             task_prompt = gr.Textbox(show_label=False, placeholder="Write a prompt here")
-            with gr.Row():
-                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)
+            # with gr.Row():
+            #     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", allow_custom_value=True, info="If your choice is not included in the options, please type your own.")
             task_btn = gr.Button(value="Submit")
@@ -366,7 +363,7 @@ def interface():
             #                                    vicuna_S3_chatbot, llama_S3_chatbot, gpt_S3_chatbot])
             
             # Event Handler for API Key
-            task_btn.click(update_api_key, inputs=task_apikey_input)
+            # task_btn.click(update_api_key, inputs=task_apikey_input)
 
             # Show user's original prompt  
             def update_textbox(prompt):
@@ -380,11 +377,11 @@ 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)
-            task_btn.click(gpt_strategies_respond, inputs=[have_key, strategy1, task, task_linguistic_entities, task_prompt, gpt_S1_chatbot], 
+            task_btn.click(gpt_strategies_respond, inputs=[strategy1, task, task_linguistic_entities, task_prompt, gpt_S1_chatbot], 
                                 outputs=[task_prompt, gpt_S1_chatbot])
-            task_btn.click(gpt_strategies_respond, inputs=[have_key, strategy2, task, task_linguistic_entities, task_prompt, gpt_S2_chatbot], 
+            task_btn.click(gpt_strategies_respond, inputs=[strategy2, task, task_linguistic_entities, task_prompt, gpt_S2_chatbot], 
                                 outputs=[task_prompt, gpt_S2_chatbot])
-            task_btn.click(gpt_strategies_respond, inputs=[have_key, strategy3, task, task_linguistic_entities, task_prompt, gpt_S3_chatbot], 
+            task_btn.click(gpt_strategies_respond, inputs=[strategy3, task, task_linguistic_entities, task_prompt, gpt_S3_chatbot], 
                                 outputs=[task_prompt, gpt_S3_chatbot])
             
             # Event Handler for LLaMA Chatbot POS/Chunk