Update app.py

app.py

@@ -7,7 +7,9 @@ import itertools
 import collections
 from collections import Counter
 import numpy as np
-def search_hashtag1(hashtag_phrase):
+hashtag_phrase ="#datascience"
+recent_tweet_count_you_want =100
+def search_hashtag1(hashtag_phrase,recent_tweet_count_you_want):
   #hashtag_phrase=input("Enter hashtahg")
   consumer_key="30GAxNeTfZuPL5SfNhFBodmRF" 
   consumer_secret="C6O64nP0XjtwaAnXYL9zCcDZKEIP2iL1yVdlsNJtwLiZ5AEEBs"
@@ -21,7 +23,7 @@ def search_hashtag1(hashtag_phrase):
   timestamp=[]
   tweet_text=[]
   user_name=[]
-  for tweet in tweepy.Cursor(api.search_tweets, q=hashtag_phrase+' -filter:retweets',lang="en", tweet_mode='extended').items(200):
+  for tweet in tweepy.Cursor(api.search_tweets, q=hashtag_phrase+' -filter:retweets',lang="en", tweet_mode='extended').items(recent_tweet_count_you_want):
     timestamp1=tweet.created_at
     timestamp.append(timestamp1)
     tweet_text1=tweet.full_text.replace('\n',' ').encode('utf-8')
@@ -39,8 +41,8 @@ def search_hashtag1(hashtag_phrase):
 iface = gr.Interface(
     search_hashtag1,inputs=gr.inputs.Textbox(lines=2, placeholder="Enter Hashtag Here"),
     outputs="dataframe",
-    examples=["#datascience","#budget","#valentine's day","#pushpa","#batman","#SharkTankIndia"],
+    examples=[[hashtag_phrase,recent_tweet_count_you_want]],
     theme="seafoam",
     title='Sakil Tweetlib6 App',
-    description="You can extract tweets based on Hashtag.e.g. Please enter #datascience. The app extracts top 500 recent tweets based on the hashtag.")
+    description="You can extract tweets based on Hashtag.e.g. Please enter #datascience. The app extracts tweets based on the hashtag and the number of tweet count you want.")
 iface.launch(inline=False)