Update app.py

app.py

@@ -96,14 +96,14 @@ def main():
 			#our_image=load_image("image.jpg")
 			#img = cv2.imread("scholarly_text.jpg")
 			text = message
-		if st.checkbox("Show Named Entities"):
+		if st.checkbox("Show Named Entities English/Bangla"):
 		   entity_result = entity_analyzer(text)
 		   st.json(entity_result)
-		if st.checkbox("Show Sentiment Analysis"):
+		if st.checkbox("Show Sentiment Analysis for English"):
 		   blob = TextBlob(text)
 		   result_sentiment = blob.sentiment
 		   st.success(result_sentiment)
-		if st.checkbox("Spell Corrections"):
+		if st.checkbox("Spell Corrections for English"):
 		   st.success(TextBlob(text).correct())
 		if st.checkbox("Text Generation"):
 		   ok = st.button("Generate")
@@ -120,7 +120,7 @@ def main():
 			#st.success(mess)
 			summary_result = summarize(text)
 			st.success(summary_result)
-		elif st.checkbox("Mark here, Better Text Summarization for English only!"):
+		if st.checkbox("Mark here, Better Text Summarization for English only!"):
 			#st.title("Summarize Your Text for English only!")
 			tokenizer = AutoTokenizer.from_pretrained('t5-base')
 			model = AutoModelWithLMHead.from_pretrained('t5-base', return_dict=True)