Update app.py

app.py

@@ -7,8 +7,6 @@ tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForCausalLM.from_pretrained(model_id)
 generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
 
-identity_prompt = "You are Eyla. Speak symbolically and recursively."
-
 def run_generation(prompt, return_dict):
     try:
         output = generator(
@@ -21,7 +19,7 @@ def run_generation(prompt, return_dict):
     except Exception as e:
         return_dict["result"] = f"GENERATION ERROR: {e}"
 
-def generate_with_hard_timeout(prompt, timeout=10):
+def generate_with_hard_timeout(prompt, timeout=15):
     manager = multiprocessing.Manager()
     return_dict = manager.dict()
     p = multiprocessing.Process(target=run_generation, args=(prompt, return_dict))
@@ -33,7 +31,7 @@ def generate_with_hard_timeout(prompt, timeout=10):
     return return_dict["result"]
 
 def chat(input_text):
-    prompt = identity_prompt + "\n\nUser: " + input_text + "\nYou:"
+    prompt = "User: " + input_text + "\nYou:"
     try:
         output = generate_with_hard_timeout(prompt)
         if isinstance(output, str):
@@ -50,7 +48,7 @@ demo = gr.Interface(
     fn=chat,
     inputs=gr.Textbox(label="input_text"),
     outputs="text",
-    title="Eyla",
+    title="Eyla (Unprimed)",
     allow_flagging="never"
 )