Update app.py

app.py

@@ -7,6 +7,7 @@ from app_dev_desc import app_dev_desc
 from logger import log_response
 from logger import log_enabled
 from app_chat import app_chat
+import numpy as np
 
 from app_agent_config import AgentConfig 
 
@@ -32,33 +33,48 @@ 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:
-    
-    uploaded_file = st.file_uploader("Choose a file", type='csv')
+
+    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)
+        
+    uploaded_file = st.file_uploader("Choose a file", type='pdf')
     if uploaded_file is not None:
         # To read file as bytes:
-        bytes_data = uploaded_file.getvalue()
-        st.write(bytes_data)
+        pdf_document = uploaded_file.getvalue()
+        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()
+        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()
+        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)
+        #stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))
+        #st.write(stringio)
     
         # To read file as string:
-        string_data = stringio.read()
-        st.write(string_data)
+        #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)
 
 
-    img_file_buffer = st.file_uploader('Upload a PNG image', type='png')
-    if img_file_buffer is not None:
-        image = Image.open(img_file_buffer)
-        img_array = np.array(image)
-        ########
-        image
-        st.image(img_array)
 
 # Create a page with tabs
 tabs = st.tabs(["Chat", "URL, Tools and logging", "User Description", "Developers"])