Update app.py

app.py

@@ -82,10 +82,6 @@ def bansum(text):
     if isinstance(out, list) and out[0].get("summary_text"):
        text_output = out[0]["summary_text"]
        st.success(text_output) 
-
-@st.cache
-def load(x):
-    return x
     
 """ NLP Based Application with Streamlit """
 if "photo" not in st.session_state:
@@ -93,9 +89,9 @@ if "photo" not in st.session_state:
 def change_photo_state():
     st.session_state["photo"]="done"
 message = st.text_input("Type your text here!")
-c2, c3 = st.columns([2,1])
-uploaded_photo = load(c3.file_uploader("Upload your Images/PDF",type=['jpg','png','jpeg','pdf'], on_change=change_photo_state))
-camera_photo = load(c2.camera_input("Capture a photo to summarize: ", on_change=change_photo_state))
+c2, c3 = st.columns([2.5,1])
+camera_photo = c2.camera_input("Capture a photo to summarize: ", on_change=change_photo_state)
+uploaded_photo = c3.file_uploader("Upload your Images/PDF",type=['jpg','png','jpeg','pdf'], on_change=change_photo_state)
 if st.session_state["photo"]=="done" or message:
     if uploaded_photo and uploaded_photo.type=='application/pdf':
         tet = read_pdf(uploaded_photo)