Update app.py

app.py

@@ -1,21 +1,31 @@
 import pandas as pd
 import streamlit as st
-from textblob import TextBlob
 import re
 import matplotlib.pyplot as plt
-
+from textblob import TextBlob
 import nltk
 from nltk.corpus import stopwords
 from collections import Counter
 from wordcloud import WordCloud
 nltk.download('stopwords')
 
+#Huggingface
+from datasets import load_dataset
+from huggingface_hub import login
+import os
+
 st.set_page_config(
     page_title="Smart Farming Sentiment Analysis",
     page_icon="🌱",
     layout="wide"
     )
 
+login(token = os.environ['hf_token'])
+dataset = load_dataset("irfantea/collections", data_files='smartfarmingsentences.csv')
+df = dataset.to_pandas()
+print(df.head())
+st.dataframe(df)
+
 def set_cleantext(dataframe):
     #Sentence less than 10 words
     dataframe = dataframe[dataframe['sentences'].apply(lambda x: len(x.split()) >= 10)]