Update app.py

app.py

@@ -89,7 +89,6 @@ def bansum(text):
 st.title("NLP APPLICATION")
 #@st.cache_resource(experimental_allow_widgets=True)
 def main():
-    b=0
     #global tokenizer, model
     #tokenizer = AutoTokenizer.from_pretrained('t5-base')
     #model = AutoModelWithLMHead.from_pretrained('t5-base', return_dict=True)
@@ -103,7 +102,7 @@ def main():
         st.session_state["photo"]="done"
     st.subheader("Please, feed your pdf/images/text, features/services will appear automatically!")
     message = st.text_input("Type your text here!")
-    uploaded_photo = st.file_uploader("Upload your PDF",type=['jpg','png','jpeg','pdf'], on_change=change_photo_state)
+    uploaded_photo = st.sidebar.file_uploader("Upload your PDF",type=['jpg','png','jpeg','pdf'], on_change=change_photo_state)
     camera_photo = st.camera_input("Take a photo, Containing English texts", on_change=change_photo_state)
     if "photo" not in st.session_state:
         st.session_state["photo"]="not done"
@@ -135,10 +134,8 @@ def main():
             # pytesseract image to string to get results
             #text = str(pytesseract.image_to_string(img, config='--psm 6',lang="ben")) if st.checkbox("Bangla") else str(pytesseract.image_to_string(thresh1, config='--psm 6'))
             if st.checkbox("Bangla"):
-                b=1
                 text =  pytesseract.image_to_string(img, lang="ben")
             else: 
-                b=0
                 text=pytesseract.image_to_string(img)
             #st.success(text)
         elif camera_photo:
@@ -147,10 +144,8 @@ def main():
             img = cv2.imread("img.png")
             #text = pytesseract.image_to_string(img) if st.checkbox("Bangla") else pytesseract.image_to_string(img, lang="ben")
             if st.checkbox("Bangla"):
-                b=1
                 text =  pytesseract.image_to_string(img, lang="ben")
             else: 
-                b=0
                 text=pytesseract.image_to_string(img)
             #st.success(text)
         elif uploaded_photo==None and camera_photo==None:
@@ -172,7 +167,7 @@ def main():
                 st.success(text_output)
                 
         if st.checkbox("Mark for Text Summarization"):
-            if b==1:
+            if st.checkbox("Bangla")
                 bansum(text)
             else:
                 engsum(text)