update

view/app_sidebar.py

@@ -13,72 +13,72 @@ def app_sidebar(controller):
         with st.expander("Set the Content and Context"):
                 content_and_context(controller.agent_config)
 
-    def configure(agent_config):
-        st.markdown("Change the agent's configuration here.")
+def configure(agent_config):
+    st.markdown("Change the agent's configuration here.")
 
-        agent_config.url_endpoint = st.selectbox("Select Inference URL", [
-            "https://api-inference.huggingface.co/models/bigcode/starcoder",
-            "https://api-inference.huggingface.co/models/OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5",
-            "https://api-inference.huggingface.co/models/gpt2"
-        ])
-       
-        agent_config.log_enabled = st.checkbox("Enable Logging")
+    agent_config.url_endpoint = st.selectbox("Select Inference URL", [
+        "https://api-inference.huggingface.co/models/bigcode/starcoder",
+        "https://api-inference.huggingface.co/models/OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5",
+        "https://api-inference.huggingface.co/models/gpt2"
+    ])
+    
+    agent_config.log_enabled = st.checkbox("Enable Logging")
 
-        agent_config.tool_checkboxes = [st.checkbox(f"{tool.name} --- {tool.description} ") for tool in agent_config.tool_loader.tools]
+    agent_config.tool_checkboxes = [st.checkbox(f"{tool.name} --- {tool.description} ") for tool in agent_config.tool_loader.tools]
 
-    def content_and_context(agent_config):
-        agent_config.context = st.text_area("Context")
+def content_and_context(agent_config):
+    agent_config.context = st.text_area("Context")
 
-        agent_config.image = st.camera_input("Take a picture")
+    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:
-            agent_config.document = uploaded_file.getvalue()  
-            st.write(agent_config.document)
-            
-        uploaded_txt_file = st.file_uploader("Choose a txt", type='txt')
-        if uploaded_txt_file is not None:
-            # To read file as bytes:
-            agent_config.document = uploaded_txt_file.getvalue() 
-            st.write(agent_config.document)
-            
-        uploaded_csv_file = st.file_uploader("Choose a csv", type='csv')
-        if uploaded_csv_file is not None:
-            # To read file as bytes:
-            agent_config.document = uploaded_csv_file.getvalue() 
-            st.write(agent_config.document)
-                        
-        uploaded_csv_file = st.file_uploader("Choose audio", type='wav')
-        if uploaded_csv_file is not None:
-            # To read file as bytes:
-            agent_config.document = uploaded_csv_file.getvalue() 
-            st.write(agent_config.document)
-            
-        uploaded_csv_file = st.file_uploader("Choose video", type='avi')
-        if uploaded_csv_file is not None:
-            # To read file as bytes:
-            agent_config.document = uploaded_csv_file.getvalue() 
-            st.write(agent_config.document)
-                    
-            # To convert to a string based IO:
-            #stringio = StringIO(uploaded_file.getvalue().decode("utf-8"))
-            #st.write(stringio)
+    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:
+        agent_config.document = uploaded_file.getvalue()  
+        st.write(agent_config.document)
         
-            # To read file as string:
-            #string_data = stringio.read()
-            #st.write(string_data)
+    uploaded_txt_file = st.file_uploader("Choose a txt", type='txt')
+    if uploaded_txt_file is not None:
+        # To read file as bytes:
+        agent_config.document = uploaded_txt_file.getvalue() 
+        st.write(agent_config.document)
+        
+    uploaded_csv_file = st.file_uploader("Choose a csv", type='csv')
+    if uploaded_csv_file is not None:
+        # To read file as bytes:
+        agent_config.document = uploaded_csv_file.getvalue() 
+        st.write(agent_config.document)
+                    
+    uploaded_csv_file = st.file_uploader("Choose audio", type='wav')
+    if uploaded_csv_file is not None:
+        # To read file as bytes:
+        agent_config.document = uploaded_csv_file.getvalue() 
+        st.write(agent_config.document)
         
-            # Can be used wherever a "file-like" object is accepted:
-            dataframe = pd.read_csv(uploaded_file)
-            st.write(dataframe)
+    uploaded_csv_file = st.file_uploader("Choose video", type='avi')
+    if uploaded_csv_file is not None:
+        # To read file as bytes:
+        agent_config.document = uploaded_csv_file.getvalue() 
+        st.write(agent_config.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)