Update app.py

app.py

@@ -70,12 +70,9 @@ def load_f5tts(
 F5TTS_ema_model = load_f5tts()
 
 
-def load_groq(apikey):
-    client = Groq(api_key=apikey)
-    return client = Groq(api_key=apikey)
 
 @gpu_decorator
-def generate_response(messages):
+def generate_response(messages, apikey):
     """
     Generate a chat response using the Groq API.
     If messages is a string, wrap it as a user message.
@@ -85,6 +82,7 @@ def generate_response(messages):
     else:
         messages_payload = messages
 
+    client = Groq(api_key=apikey)
     chat_completion = client.chat.completions.create(
         messages=messages_payload,
         model="deepseek-r1-distill-llama-70b",
@@ -224,7 +222,6 @@ Have a conversation with an AI using your reference voice!
             with gr.Column():
                 with gr.Row():
                     groq_apikey = gr.Textbox(label="Your Groq API Key")
-                    load_api = gr.Button("Load API")
                 text_input_chat = gr.Textbox(label="Type your message", lines=1)
                 send_btn_chat = gr.Button("Send Message")
                 clear_btn_chat = gr.Button("Clear Conversation")
@@ -298,10 +295,9 @@ Have a conversation with an AI using your reference voice!
             outputs=[audio_output_chat, ref_text_chat],
         ).then(lambda: None, None, audio_input_chat)
 
-        load_api.click(load_groq, inputs=groq_apikey, outputs=None)
         text_input_chat.submit(
             process_audio_input,
-            inputs=[audio_input_chat, text_input_chat, chatbot_interface, conversation_state],
+            inputs=[audio_input_chat, text_input_chat, groq_apikey, chatbot_interface, conversation_state],
             outputs=[chatbot_interface, conversation_state],
         ).then(
             generate_audio_response,