Update app.py

app.py

@@ -21,7 +21,7 @@ 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, q=hashtag_phrase+' -filter:retweets',lang="en", tweet_mode='extended').items(200):
     timestamp1=tweet.created_at
     timestamp.append(timestamp1)
     tweet_text1=tweet.full_text.replace('\n',' ').encode('utf-8')
@@ -33,8 +33,15 @@ def search_hashtag1(hashtag_phrase):
   data3=pd.DataFrame(user_name,columns={"user_name"})
   data4=pd.concat([data1,data2],axis=1)
   data5=pd.concat([data4,data3],axis=1)
-  data5.to_csv("tweet_data.csv")
+  data5.to_csv("tweet_data1.csv")
   #data6=data5.head(10)
-  return data5
-iface = gr.Interface(search_hashtag1,inputs="text",outputs="dataframe",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.")
+  return data5,data5.to_csv("tweet_data1.csv")
+iface = gr.Interface(
+    search_hashtag1,inputs=gr.inputs.Textbox(lines=2, placeholder="Enter Hashtag Here"),
+    outputs=["dataframe","dataframe"],
+    examples=["#datascience","#budget","#valentine's day","#pushpa","#batman","#SharkTankIndia"],
+    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.")
 iface.launch(inline=False)