Update app.py

app.py

@@ -66,11 +66,11 @@ with gr.Blocks(theme='freddyaboulton/dracula_revamped') as demo:
 
     with gr.Accordion(label="Parameters ⚙️", open=True):
         safety = gr.Radio(["On", "Off"], label="Guard Rail 🛡️", value="On", info="Helps prevent the model from generating toxic/harmful content.")
-        top_k = gr.Slider(minimum=10, maximum=100, value=50, step=5, interactive=True, label="Top-k", info="Controls the number of highest probability tokens to consider for each step.")
-        top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.70, step=0.05, interactive=True, label="Top-p", info="Controls the cumulative probability of the generated tokens.")
+        top_k = gr.Slider(minimum=10, maximum=100, value=30, step=5, interactive=True, label="Top-k", info="Controls the number of highest probability tokens to consider for each step.")
+        top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.30, step=0.05, interactive=True, label="Top-p", info="Controls the cumulative probability of the generated tokens.")
         temperature = gr.Slider(minimum=0.1, maximum=2.0, value=0.1, step=0.1, interactive=True, label="Temperature", info="Controls the randomness of the generated tokens.")
-        repetition_penalty = gr.Slider(minimum=1, maximum=2, value=1.5, step=0.1, interactive=True, label="Repetition Penalty", info="Higher values help the model to avoid repetition in text generation.")
-        max_length = gr.Slider(minimum=10, maximum=500, value=100, step=10, interactive=True, label="Max Length", info="Controls the maximum length of the generated text.")
+        repetition_penalty = gr.Slider(minimum=1, maximum=2, value=1.1, step=0.1, interactive=True, label="Repetition Penalty", info="Higher values help the model to avoid repetition in text generation.")
+        max_length = gr.Slider(minimum=10, maximum=500, value=200, step=10, interactive=True, label="Max Length", info="Controls the maximum length of the generated text.")
         smaple_from = gr.Slider(minimum=2, maximum=10, value=2, step=1, interactive=True, label="Sample From", info="Controls the number of generations that the reward model will sample from.")
 
     clear = gr.Button("Clear Conversation 🧹")