Update app.py

app.py

@@ -22,11 +22,6 @@ agent_config = AgentConfig()
 
 
 
-st.title("Hugging Face Agent and Tools")
-
-## LB https://huggingface.co/spaces/qiantong-xu/toolbench-leaderboard
-
-st.markdown("Welcome to the Hugging Face Agent and Tools app! This app allows you to interact with various tools using the Hugging Face Inference API.  CustomTransformers can do anything \n🤪🤗😄🤗🤪.")
 
 #######
 
@@ -42,71 +37,19 @@ with st.sidebar:
 
     with st.expander("Set Content and Context"):
 
-            agent_config.context = st.text_area("Context")
-
-            agent_config.image = st.camera_input("Take a picture")
-
-            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
-                agent_config.image = np.array(image_raw)
-                ######## 
-                st.image(agent_config.image)
-                
-            uploaded_file = st.file_uploader("Choose a pdf", type='pdf')
-            if uploaded_file is not None:
-                # To read file as bytes:
-                pdf_document = uploaded_file.getvalue() 
-                agent_config.document = pdf_document
-                st.write(pdf_document)
-                
-            uploaded_txt_file = st.file_uploader("Choose a txt", type='txt')
-            if uploaded_txt_file is not None:
-                # To read file as bytes:
-                txt_document = uploaded_txt_file.getvalue()
-                agent_config.document = txt_document
-                st.write(txt_document)
-                
-            uploaded_csv_file = st.file_uploader("Choose a csv", type='csv')
-            if uploaded_csv_file is not None:
-                # To read file as bytes:
-                csv_document = uploaded_csv_file.getvalue()
-                agent_config.document = csv_document
-                st.write(csv_document)
-                            
-            uploaded_csv_file = st.file_uploader("Choose audio", type='wav')
-            if uploaded_csv_file is not None:
-                # To read file as bytes:
-                csv_document = uploaded_csv_file.getvalue()
-                agent_config.document = csv_document
-                st.write(csv_document)
-                
-            uploaded_csv_file = st.file_uploader("Choose video", type='avi')
-            if uploaded_csv_file is not None:
-                # To read file as bytes:
-                csv_document = uploaded_csv_file.getvalue()
-                agent_config.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)
-            
-                # 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)
-
+            agent_config.content_and_Context()
+         
 # Create a page with tabs
 tabs = st.tabs(["Chat","User Description"])
 
 with tabs[0]: 
-    st.markdown("Start to chat. e.g. Generate an image of a boat. This will make the agent use the tool text2image to generate an image. Set content, context, Inference URL , tools and logging in the sidebar.")
+    st.title("Hugging Face Agent and Tools")
+
+## LB https://huggingface.co/spaces/qiantong-xu/toolbench-leaderboard
+
+    st.markdown("Welcome to the Hugging Face Agent and Tools app! This app allows you to interact with various tools using the Hugging Face Inference API.  CustomTransformers can do anything \n🤪🤗😄🤗🤪.")
+
+    #st.markdown("Start to chat. e.g. Generate an image of a boat. This will make the agent use the tool text2image to generate an image. Set content, context, Inference URL , tools and logging in the sidebar.")
  
 with tabs[1]:
     app_user_desc()