Update maker.py

maker.py

@@ -9,7 +9,7 @@ import os
 HF_TOKEN = os.environ["HF_TOKEN"]
 HEADERS = {"Authorization": f"Bearer {HF_TOKEN}"}
 
-tulu = "https://tonic1-tulu.hf.space/--replicas/t5vxm/"
+tulu = "https://tonic1-tulu.hf.space/--replicas/ms6dm/"
 
 
 welcome_message = """
@@ -59,7 +59,6 @@ Sure, I'd be happy to help you build a bot! I'm generating a title, system promp
 
 def predict_beta(message, chatbot=[], system_prompt=system_prompt, max_new_tokens=900, temperature=0.4, top_p=0.9, repetition_penalty=0.9, advanced=True):
     client = Client(tulu)
-    start_phrase = "Sure, I'd be happy to help"
     try:
         result = client.predict(
             message,  
@@ -74,9 +73,6 @@ def predict_beta(message, chatbot=[], system_prompt=system_prompt, max_new_token
 
         if result is not None and len(result) > 0:
             bot_message = result[0]
-            last_response_start = bot_message.rfind(start_phrase)
-            if last_response_start != -1:
-                bot_message = bot_message[last_response_start:]
             print(bot_message)
             return bot_message
         else:
@@ -86,8 +82,8 @@ def predict_beta(message, chatbot=[], system_prompt=system_prompt, max_new_token
         error_msg = f"An error occurred: {str(e)}"
         raise gr.Error(error_msg)
 
+
 def extract_title_prompt_example(text, title, system_prompt, example_input):
-    # Default values if the expected format is not found
     default_title = "Custom GPT Agent"
     default_system_prompt = "This is a custom GPT agent."
     default_example_input = "Type your query here."
@@ -116,9 +112,9 @@ def extract_title_prompt_example(text, title, system_prompt, example_input):
         pass
     return text, title, system_prompt, example_input
 
-def make_open_gpt(message, history, current_title, system_prompt, current_example_input):
-    response = predict_beta(message, history, system_prompt)
-    response, title, system_prompt, example_input = extract_title_prompt_example(response, current_title, system_prompt, current_example_input)
+def make_open_gpt(message, history, current_title, current_system_prompt, current_example_input):
+    response = predict_beta(message, history, zephyr_system_prompt)
+    response, title, system_prompt, example_input = extract_title_prompt_example(response, current_title, current_system_prompt, current_example_input)
     return "", history + [(message, response)], title, system_prompt, example_input, [(None, welcome_preview_message.format(title, example_input))], example_input, gr.Column(visible=True), gr.Group(visible=True)
 
 def set_title_example(title, example):