Update app.py

app.py

@@ -15,6 +15,8 @@ DEFAULT_INPUT = f"User: Hi!"
 DEFAULT_PREOUTPUT = f"Statical: "
 DEFAULT_INSTRUCTION = "Statical is a helpful chatbot who is communicating with people."
 
+DEFAULT_STOPS = '["‹", "›"]'
+
 API_ENDPOINTS = {
     "Falcon": "tiiuae/falcon-180B-chat",
     "Llama": "meta-llama/Llama-2-70b-chat-hf"
@@ -43,6 +45,7 @@ def predict(instruction, history, input, preoutput, access_key, model, temperatu
     history = history or []
     input = input or ""
     preoutput = preoutput or ""
+    stop_seqs = stop_seqs or DEFAULT_STOPS
         
     stops = json.loads(stop_seqs)
 
@@ -107,7 +110,7 @@ with gr.Blocks() as demo:
             top_k = gr.Slider( minimum = 1, maximum = 2048, value = 50, step = 1, interactive = True, label = "Top K" )
             rep_p = gr.Slider( minimum = 0.01, maximum = 2, value = 1.2, step = 0.01, interactive = True, label = "Repetition Penalty" )
             max_tokens = gr.Slider( minimum = 1, maximum = 2048, value = 32, step = 64, interactive = True, label = "Max New Tokens" )
-            stop_seqs = gr.Textbox(label = "Stop Sequences ( JSON Array / 4 Max )", lines = 1, value = '["‹", "›"]')
+            stop_seqs = gr.Textbox(label = "Stop Sequences ( JSON Array / 4 Max )", lines = 1, value = DEFAULT_STOPS )
             seed = gr.Slider( minimum = 0, maximum = 8192, value = 42, step = 1, interactive = True, label = "Seed" )
             
     with gr.Row():