Update app1.py

app1.py

@@ -1,8 +1,20 @@
+import openai
 import time
 import logging
 import gradio as gr
-
+import os
 from src.llm_boilers import llm_boiler
+import configparser
+
+# Read the configuration file
+config = configparser.ConfigParser()
+config.read('config.ini')
+
+# Get the OpenAI key from the configuration file
+openai_key = config.get('Credentials', 'openai_key')
+
+# Use openai_key in your code
+
 
 
 logging.basicConfig(format="%(asctime)s - %(message)s", level=logging.INFO)
@@ -111,33 +123,34 @@ def call_inf_server(prompt, openai_key):
         return response
 
 
-with gr.Blocks(
-    theme=gr.themes.Glass(
-    primary_hue="lime",
-    secondary_hue="emerald",
-    neutral_hue="zinc",
-    
-),
+with gr.Blocks(theme='HaleyCH/HaleyCH_Theme') as demo:
+# org : 
+#theme=gr.themes.Glass(
+    #primary_hue="lime",
+    #secondary_hue="emerald",
+    #neutral_hue="zinc",
     
-) as demo:
 
 
     gr.Markdown(
-        """<h1><center>Chat with gpt-3.5-turbo</center></h1>
-        This is a lightweight demo of gpt-3.5-turbo conversation completion. It was designed as a template for in-context learning applications to be built on top of.
+        """
+        <br><h1><center>Chat with gpt-3.5-turbo</center></h1>
+        This is a lightweight  gpt-3.5-turbo conversation
+        completion. 
 """
-    )
+     )
     conversation = Chat()
     with gr.Row():
         with gr.Column():
             # to do: change to openaikey input for public release
             openai_key = gr.Textbox(
                 label="OpenAI Key",
-                value="",
+                value="", 
                 type="password",
-                placeholder="sk..",
+                placeholder="os.environ.get('openai_key')",
                 info="You have to provide your own OpenAI API key.",
             )
+            
     chatbot = gr.Chatbot().style(height=400)
     with gr.Row():
         with gr.Column():