Update app.py

app.py

@@ -33,47 +33,52 @@ st.markdown("Welcome to the Hugging Face Agent and Tools app! This app allows yo
 import pandas as pd
 from io import StringIO
 with st.sidebar:
-
-    img_file_buffer = st.file_uploader('Upload a PNG image', type='png')
-    if img_file_buffer is not None:
-        image_raw = Image.open(img_file_buffer)
-        image = np.array(image_raw)
-        ######## 
-        st.image(image)
+    with st.expander("See explanation"):
+    
+        img_file_buffer = st.file_uploader('Upload a PNG image', type='png')
+        if img_file_buffer is not None:
+            image_raw = Image.open(img_file_buffer)
+            global image
+            image = np.array(image_raw)
+            ######## 
+            st.image(image)
+            
+        uploaded_file = st.file_uploader("Choose a file", type='pdf')
+        if uploaded_file is not None:
+            # To read file as bytes:
+            pdf_document = uploaded_file.getvalue()
+            global document
+            document = pdf_document
+            st.write(pdf_document)
+            
+        uploaded_txt_file = st.file_uploader("Choose a file", type='txt')
+        if uploaded_txt_file is not None:
+            # To read file as bytes:
+            txt_document = uploaded_txt_file.getvalue()
+            global document
+            document = txt_document
+            st.write(txt_document)
+            
+        uploaded_csv_file = st.file_uploader("Choose a file", type='csv')
+        if uploaded_csv_file is not None:
+            # To read file as bytes:
+            csv_document = uploaded_csv_file.getvalue()
+            global document
+            document = csv_document
+            st.write(csv_document)
         
-    uploaded_file = st.file_uploader("Choose a file", type='pdf')
-    if uploaded_file is not None:
-        # To read file as bytes:
-        pdf_document = uploaded_file.getvalue()
-        document = pdf_document
-        st.write(pdf_document)
+            # To convert to a string based IO:
+            #stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))
+            #st.write(stringio)
         
-    uploaded_txt_file = st.file_uploader("Choose a file", type='txt')
-    if uploaded_txt_file is not None:
-        # To read file as bytes:
-        txt_document = uploaded_txt_file.getvalue()
-        document = txt_document
-        st.write(txt_document)
+            # To read file as string:
+            #string_data = stringio.read()
+            #st.write(string_data)
         
-    uploaded_csv_file = st.file_uploader("Choose a file", type='csv')
-    if uploaded_csv_file is not None:
-        # To read file as bytes:
-        csv_document = uploaded_csv_file.getvalue()
-        document = csv_document
-        st.write(csv_document)
-    
-        # To convert to a string based IO:
-        #stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))
-        #st.write(stringio)
+            # Can be used wherever a "file-like" object is accepted:
+            dataframe = pd.read_csv(uploaded_file)
+            st.write(dataframe)
     
-        # To read file as string:
-        #string_data = stringio.read()
-        #st.write(string_data)
-    
-        # Can be used wherever a "file-like" object is accepted:
-        dataframe = pd.read_csv(uploaded_file)
-        st.write(dataframe)
-
 
 
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