Update app.py

app.py

@@ -74,6 +74,7 @@ def bansum(text):
 st.title("NLP APPLICATION")
 #@st.cache_resource(experimental_allow_widgets=True)
 def main():
+    s=0
     #global tokenizer, model
     #tokenizer = AutoTokenizer.from_pretrained('t5-base')
     #model = AutoModelWithLMHead.from_pretrained('t5-base', return_dict=True)
@@ -106,28 +107,34 @@ def main():
             img = Image.open(uploaded_photo)
             img = img.save("img.png")
             img = cv2.imread("img.png")
+            st.text("Press the content type:")
             if st.button("Content Type: Bangla"):
                 text =  pytesseract.image_to_string(img, lang="ben")
+                s=1
             if st.button("Content Type: English"): 
                 text=pytesseract.image_to_string(img)
+                s=0
             #st.success(text)
         elif camera_photo:
             img = Image.open(camera_photo)
             img = img.save("img.png")
             img = cv2.imread("img.png")
             #text = pytesseract.image_to_string(img) if st.checkbox("Bangla") else pytesseract.image_to_string(img, lang="ben")
+            st.text("Press the content type:")
             if st.button("Content Type: Bangla"):
                 text =  pytesseract.image_to_string(img, lang="ben")
+                s=1
             if st.button("Content Type: English"): 
                 text=pytesseract.image_to_string(img)
+                s=0
             st.success(text)
         elif uploaded_photo==None and camera_photo==None:
             text = message
                 
         if st.checkbox("Mark for Text Summarization"):
-            if st.button("Summarize Bangla Texts"):
+            if s==1:
                 bansum(text)
-            if st.button("Summarize English Texts"):
+            else:
                 engsum(text)
                 
         if st.checkbox("English Text Generation"): 
@@ -141,7 +148,6 @@ def main():
             if isinstance(out, list) and out[0].get("generated_text"):
                 text_output = out[0]["generated_text"]
                 st.success(text_output)
-        if st.button("Refresh"):
-            st.cache_data.clear()
+           
 if __name__ == '__main__':
     main()