Update app.py

app.py

@@ -0,0 +1,35 @@
+import pandas as pd
+import numpy as np
+import gradio as gr
+
+import matplotlib.pyplot as plt
+%matplotlib inline
+import seaborn as sns
+
+from sklearn.feature_extraction.text import CountVectorizer
+
+from sklearn.neighbors import KNeighborsClassifier
+from sklearn.tree import DecisionTreeClassifier
+from sklearn.ensemble import RandomForestClassifier
+from sklearn.linear_model import LogisticRegression
+from sklearn.naive_bayes import MultinomialNB
+
+from sklearn.metrics import accuracy_score,precision_score,recall_score,f1_score
+
+k=KNeighborsClassifier()
+d=DecisionTreeClassifier()
+r=RandomForestClassifier()
+l=LogisticRegression()
+mb=MultinomialNB()
+    
+from sklearn.model_selection import train_test_split
+
+from wordcloud import WordCloud, STOPWORDS
+from PIL import Image
+
+from textblob import TextBlob
+
+import warnings
+warnings.filterwarnings('ignore')
+
+df=pd.read_csv("data.csv")