Update app.py

app.py

@@ -109,28 +109,28 @@ def main():
 			img = Image.open(uploaded_photo)
 			img = img.save("img.png")
 			img = cv2.imread("img.png")
-			text = pytesseract.image_to_string(img, lang="ben") if st.checkbox("bangla") else pytesseract.image_to_string(img)
+			text = pytesseract.image_to_string(img, lang="ben") if st.checkbox("Mark here to see in Bangla") else pytesseract.image_to_string(img)
 			st.success(text)
 		if camera_photo:
 			img = Image.open(camera_photo)
 			img = img.save("img.png")
 			img = cv2.imread("img.png")
-			text = pytesseract.image_to_string(img, lang="ben") if st.checkbox("bangla") else pytesseract.image_to_string(img)
+			text = pytesseract.image_to_string(img, lang="ben") if st.checkbox("Mark here to see Bangla") else pytesseract.image_to_string(img)
 			st.success(text)
 		if uploaded_photo==None and camera_photo==None:
 			#our_image=load_image("image.jpg")
 			#img = cv2.imread("scholarly_text.jpg")
 			text = message
 		# Summarization
-		if st.checkbox("Show Text Summarization Genism"):
-			st.subheader("Summarize Your Text")
+		if st.checkbox("Show Text Summarization Genism for English and Bangla!"):
+			st.subheader("Summarize Your Text for English and Bangla Texts!")
 			#message = st.text_area("Enter the Text","Type please ..")
 			st.text("Using Gensim Summarizer ..")
 			#st.success(mess)
 			summary_result = summarize(text)
 			st.success(summary_result)
-		elif st.checkbox("Show Text Summarization T5"):
-			st.subheader("Summarize Your Text")
+		elif st.checkbox("Show Text Summarization T5 for English only!"):
+			st.subheader("Summarize Your Text for English only!")
 			tokenizer = AutoTokenizer.from_pretrained('t5-base')
 			model = AutoModelWithLMHead.from_pretrained('t5-base', return_dict=True)
 			st.text("Using Google T5 Transformer ..")