Update app.py

app.py

@@ -52,8 +52,9 @@ import line_cor
 import altair as alt
 #pytesseract.pytesseract.tesseract_cmd = r"./Tesseract-OCR/tesseract.exe"
 from PIL import Image
-@st.experimental_singleton
+#@st.experimental_singleton
 #@st.cache_resource(experimental_allow_widgets=True)
+@st.cache_data
 def read_pdf(file):
 #     images=pdf2image.convert_from_path(file)
 #     # print(type(images))
@@ -87,8 +88,9 @@ def read_pdf(file):
 #     all_page_text += text + " " #page.extractText()
 #     return all_page_text
 st.title("NLP APPLICATION")
-@st.experimental_singleton
+#@st.experimental_singleton
 #@st.cache_resource(experimental_allow_widgets=True)
+@st.cache_data
 def text_analyzer(my_text):
 	nlp = spacy.load('en_core_web_sm')
 	docx = nlp(my_text)
@@ -102,8 +104,9 @@ def load_models():
     model = GPT2LMHeadModel.from_pretrained('gpt2-large')
     return tokenizer, model
 # Function For Extracting Entities
-@st.experimental_singleton
+#@st.experimental_singleton
 #@st.cache_resource(experimental_allow_widgets=True)
+@st.chache_data
 def entity_analyzer(my_text):
 	nlp = spacy.load('en_core_web_sm')
 	docx = nlp(my_text)
@@ -125,8 +128,8 @@ def main():
         st.session_state["photo"]="done"
     st.subheader("Please, feed your image/text, features/services will appear automatically!")
     message = st.text_input("Type your text here!")
-    camera_photo = st.camera_input("Take a photo, Containing English texts", on_change=change_photo_state)
     uploaded_photo = st.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"
     if st.session_state["photo"]=="done" or message: