Update app.py

app.py

@@ -27,31 +27,32 @@ def display_history():
     st.dataframe(df.style.highlight_max(axis=0))
 
 def run():
-    search_words = st.text_input('Enter a word or phrase you want to know about')
-    number_of_tweets = st.number_input('How many tweets do you want to see? (maximum 50)', 1, 50, 50)
-    submit_button = st.form_submit_button(label='Submit')
+    with st.form(key='Enter name'):
+        search_words = st.text_input('Enter a word or phrase you want to know about')
+        number_of_tweets = st.number_input('How many tweets do you want to see? (maximum 50)', 1, 50, 50)
+        submit_button = st.form_submit_button(label='Submit')
 
-    if submit_button:
-        unique_tweets, tweet_list, sentiment_list = set(), [], []
-        tweets = tw.Cursor(api.search_tweets, q=search_words, lang="en").items(number_of_tweets)
-        for tweet in tweets:
-            if tweet.text not in unique_tweets:
-                unique_tweets.add(tweet.text)
-                tweet_list.append(tweet.text)
-                p = classifier(tweet.text)
-                sentiment_list.append(p[0]['label'])
+        if submit_button:
+            unique_tweets, tweet_list, sentiment_list = set(), [], []
+            tweets = tw.Cursor(api.search_tweets, q=search_words, lang="en").items(number_of_tweets)
+            for tweet in tweets:
+                if tweet.text not in unique_tweets:
+                    unique_tweets.add(tweet.text)
+                    tweet_list.append(tweet.text)
+                    p = classifier(tweet.text)
+                    sentiment_list.append(p[0]['label'])
 
-        df = pd.DataFrame(list(zip(tweet_list, sentiment_list)), columns=['Tweets', 'Sentiment'])
-        st.write(df)
+            df = pd.DataFrame(list(zip(tweet_list, sentiment_list)), columns=['Tweets', 'Sentiment'])
+            st.write(df)
 
-        summary = df.groupby('Sentiment').size().reset_index(name='Counts')
-        fig, ax = plt.subplots()
-        ax.pie(summary['Counts'], labels=summary['Sentiment'], autopct='%1.1f%%', startangle=90)
-        ax.axis('equal')
-        st.pyplot(fig)
+            summary = df.groupby('Sentiment').size().reset_index(name='Counts')
+            fig, ax = plt.subplots()
+            ax.pie(summary['Counts'], labels=summary['Sentiment'], autopct='%1.1f%%', startangle=90)
+            ax.axis('equal')
+            st.pyplot(fig)
 
-        with open(FILE_NAME, mode='a', newline='') as file:
-            df.to_csv(file, header=False, index=False)
+            with open(FILE_NAME, mode='a', newline='') as file:
+                df.to_csv(file, header=False, index=False)
 
     if st.button('Clear History'):
         os.remove(FILE_NAME)