Update app.py

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+from bertopic import BERTopic
 
 from datasets import load_dataset
 
@@ -7,7 +8,11 @@ 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")
+topic_model = BERTopic.load("MaartenGr/BERTopic_Wikipedia")
+# Train model
+topic_model = BERTopic().fit("JustKiddo/KiddosVault")
+
+#dataset = load_dataset("JustKiddo/KiddosVault")
 
 def respond(
     message,
@@ -48,12 +53,12 @@ demo = gr.ChatInterface(
     respond,
     additional_inputs=[
         gr.Textbox(value="You are a professional Mental Healthcare Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=4096, value=4096, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=1, step=0.1, label="Temperature"),
+        gr.Slider(minimum=1, maximum=8192, value=8192, step=1, label="Max new tokens"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=3.5, step=0.1, label="Temperature"),
         gr.Slider(
             minimum=0.1,
-            maximum=1.0,
-            value=0.95,
+            maximum=2.0,
+            value=1.95,
             step=0.05,
             label="Top-p (nucleus sampling)",
         ),