Loaded a demo dataset to evaluate processes.

app.py

@@ -1,10 +1,13 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
+from datasets import load_dataset
+
 """
 For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
 """
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+dataset = load_dataset("JustKiddo/KiddosVault")
 
 
 def respond(
@@ -45,9 +48,9 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Textbox(value="You are a professional Mental Healthcare Chatbot.", label="System message"),
+        gr.Slider(minimum=1, maximum=2048, value=2048, step=1, label="Max new tokens"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=1, step=0.1, label="Temperature"),
         gr.Slider(
             minimum=0.1,
             maximum=1.0,