Delete app.py

app.py

@@ -1,69 +0,0 @@
-import streamlit as st
-import pickle
-from datetime import datetime
-from sentence_transformers import SentenceTransformer
-import numpy as np
-import re
-
-loaded_scaler = pickle.load(open('minMaxScaler.sav', 'rb'))
-loaded_model = pickle.load(open('justin_rf_model.sav', 'rb'))
-vectorizer = SentenceTransformer('all-MiniLM-L6-v2')
-
-def featurize(tweet, tweet_date, tweet_time):
-    # featurize date
-    #date = year + '-' + month + '-' + day
-    #date = datetime.strptime(date, '%Y-%m-%d')
-    year = float(tweet_date.year)
-    month = float(tweet_date.month)
-    day = float(tweet_date.day)
-    hr = float(tweet_time.hour)
-    minutes = float(tweet_time.minute)
-    weekDay = float(tweet_date.weekday())
-    
-    # preprocess tweets
-    tweet = re.sub(r'http\S+', 'url', tweet)
-    
-    # count the number of accounts tagged and hashtags mentioned in tweet
-    tagCount = float(len(re.findall(r"@(\w+)", tweet)))
-    hashTagsCount = float(len(re.findall(r"#(\w+)", tweet)))
-    
-    # vectorize data
-    x1 = np.array([tagCount, hashTagsCount, minutes, hr, day, weekDay, month, year ])
-    x1 = loaded_scaler.transform(x1.reshape(1,-1))
-    x2 = vectorizer.encode(tweet)
-    inp_vec = np.concatenate([x2, x1.flatten()]).reshape(1,-1)
-    
-    return inp_vec
-
-def getOutput(inp_vec):
-    output = loaded_model.predict(inp_vec)
-    return output[0]
-
-def main():
-
-	st.title("Welcome to tweet engagement predictor")
-	with st.form("my_form", clear_on_submit=True):
-		tweet = st.text_input('Enter a tweet')
-		tweet_date = st.date_input("Enter the date of tweeting", 
-			value = datetime(2018,1,1,0,0),
-			min_value=datetime(2015,1,1,0,0),
-			max_value=datetime(2021,12,12,23,59))
-		tweet_time = st.time_input('Enter the time of tweeting')
-
-		# Every form must have a submit button.
-		submitted = st.form_submit_button("Submit")
-		
-	if submitted: 
-		inp_vec = featurize(tweet, tweet_date, tweet_time)
-		output = getOutput(inp_vec)
-        
-        st.write(tweet)
-		if output == 1 : 
-			st.write('Given tweet will get low engagment - less than 8800 ')
-		elif output == 2 : 
-			st.write('Given tweet will get moderate engagment - retweets in the range of 8800 to 24000')
-		elif output == 3 : 
-			st.write('Given tweet will get high engagment - more than 24000 retweets ')
-	      
-if __name__ == '__main__' : 
-	main()