Update app.py

app.py

@@ -5,12 +5,12 @@ from groq import Groq
 api_key = os.getenv("GROQ_API_KEY")
 client = Groq(api_key=api_key)
 
-conversation_history = []
+def chat_with_bot_stream(user_input, conversation_history):
+    if conversation_history is None:
+        conversation_history = []
 
-def chat_with_bot_stream(user_input):
-    global conversation_history
     conversation_history.append({"role": "user", "content": user_input})
-    
+
     if len(conversation_history) == 1:
         conversation_history.insert(0, {
             "role": "system",
@@ -28,7 +28,7 @@ def chat_with_bot_stream(user_input):
                 "Limit your responses to music-related inquiries only. Limit your responses to 10 lines or less." 
             )
         })
-    
+
     completion = client.chat.completions.create(
         model="llama-3.3-70b-versatile",
         messages=conversation_history,
@@ -37,18 +37,18 @@ def chat_with_bot_stream(user_input):
         top_p=0.9,
         stream=True,
     )
-    
+
     response_content = ""
     for chunk in completion:
         response_content += chunk.choices[0].delta.content or ""
-    
+
     conversation_history.append({"role": "assistant", "content": response_content})
-    
+
     return [
-        (msg["content"] if msg["role"] == "user" else None, 
+        (msg["content"] if msg["role"] == "user" else None,
          msg["content"] if msg["role"] == "assistant" else None)
         for msg in conversation_history
-    ]
+    ], conversation_history 
 
 # word translation
 translations = {
@@ -417,10 +417,12 @@ with gr.Blocks(css=None) as demo:
                     elem_id="send_button",
                     scale=1
                 )
+            conversation_state = gr.State(value=[])
+
             send_button.click(
                 fn=chat_with_bot_stream,
-                inputs=user_input,
-                outputs=chatbot
+                inputs=[user_input, conversation_state],
+                outputs=[chatbot, conversation_state]
             ).then(
                 fn=lambda: "",
                 inputs=None,