Update app.py

app.py

@@ -1,24 +1,17 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 from bertopic import BERTopic
-from sklearn.datasets import fetch_20newsgroups
 from datasets import load_dataset
 
-#docs = fetch_20newsgroups(subset='all')['data']
-#topic_model = BERTopic()
-#topics, probabilities = topic_model.fit_transform(docs)
-
-
-
 """
 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")
-topic_model = BERTopic.load("MaartenGr/BERTopic_Wikipedia")
+#topic_model = BERTopic.load("MaartenGr/BERTopic_Wikipedia")
 # Train model
-#topic_model = BERTopic().fit("JustKiddo/KiddosVault")
-
-#dataset = load_dataset("JustKiddo/KiddosVault")
+#topic_model = BERTopic("english")
+#topics, probs = topic_model.fit_transform(docs)
+dataset = load_dataset("JustKiddo/KiddosVault")
 
 def respond(
     message,