Update 01_🏠_Home.py

01_🏠_Home.py

@@ -5,7 +5,7 @@ import plotly_express as px
 import nltk
 import plotly.graph_objects as go
 from optimum.onnxruntime import ORTModelForSequenceClassification
-from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification, AutoModelForTokenClassification
+from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification
 from sentence_transformers import SentenceTransformer, CrossEncoder, util
 import streamlit as st
 import en_core_web_lg
@@ -37,7 +37,6 @@ st.markdown(
     - Analysing the sentiment of transcribed text using the quantized version of [FinBert-Tone](https://huggingface.co/nickmuchi/quantized-optimum-finbert-tone).
     - Summarization of the call with [philschmid/flan-t5-base-samsum](https://huggingface.co/philschmid/flan-t5-base-samsum) model with entity extraction
     - Question Answering Search engine powered by Langchain and [Sentence Transformers](https://huggingface.co/sentence-transformers/all-mpnet-base-v2).
-    - Knowledge Graph generation using [Babelscape/rebel-large](https://huggingface.co/Babelscape/rebel-large) model.
     
     **👇 Enter a YouTube Earnings Call URL below and navigate to the sidebar tabs**