Update app.py

app.py

@@ -1,11 +1,27 @@
 import gradio as gr
+import psycopg2
+from database import db_connection
 from huggingface_hub import InferenceClient
 
 """
 For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
 """
-client = InferenceClient("Qwen/QwQ-32B-Preview")
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
+CREATOR_NAME = "Ridimz"  # Define your creator name here
+
+def fetch_system_message():
+    conn = db_connection()
+    cursor = conn.cursor()
+    cursor.execute("SELECT message FROM system_messages WHERE name = 'MicroAI'")
+    result = cursor.fetchone()
+    cursor.close()
+    conn.close()
+    
+    if result:
+        return result[0]  # Return the message associated with 'MicroAI'
+    else:
+        return f"You are Micro AI, created by {CREATOR_NAME}. Follow the instructions precisely."
 
 def respond(
     message,
@@ -46,7 +62,7 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        gr.Textbox(value=fetch_system_message(), label="System message"),  # Call the function to fetch system message
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(
@@ -59,6 +75,5 @@ demo = gr.ChatInterface(
     ],
 )
 
-
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()