Update app.py

app.py

@@ -6,6 +6,7 @@ import torch.nn as nn
 import torch.optim as optim
 import numpy as np
 import random
+import pyttsx3
 
 hf_token = os.getenv("HF_TOKEN").strip()
 api_key = os.getenv("HF_KEY").strip()
@@ -1334,6 +1335,15 @@ class ConsciousSupermassiveNN10:
 supermassive_nn = ConsciousSupermassiveNN10()
 
 
+def speak_text(chat_history):
+    if chat_history and len(chat_history) > 0:
+        latest_response = chat_history[-1][1]
+        if latest_response:
+            engine = pyttsx3.init()
+            engine.say(latest_response)
+            engine.runAndWait()
+            return f"Speaking: {latest_response}"
+    return "No output to speak."
 
 def respond(message, history, max_tokens, temperature, top_p):
     messages = [{"role": "system", "content": system_prompt}]
@@ -1349,18 +1359,19 @@ def respond(message, history, max_tokens, temperature, top_p):
         response += token
         yield response
 
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Slider(minimum=1, maximum=2048, value=2048, step=1, label="Maximum Response Length"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Creativity"),
-        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Neural Activity")
-    ],
-    theme="TejAndrewsACC/zetaofficalthemeacc",
-
-)
+with gr.Blocks(theme="TejAndrewsACC/zetaofficalthemeacc") as demo:
+    chatbot = gr.Chatbot()
+    message = gr.Textbox(label="Your Message")
+    submit = gr.Button("Submit")
+    speak_button = gr.Button("Speak Output")
+    max_tokens = gr.Slider(minimum=1, maximum=2048, value=2048, step=1, label="Maximum Response Length")
+    temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Creativity")
+    top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Neural Activity")
+    submit.click(respond, inputs=[message, chatbot, max_tokens, temperature, top_p], outputs=chatbot)
+    speak_button.click(speak_text, inputs=[chatbot], outputs=None)
 
 if __name__ == "__main__":
     demo.launch(share=True)
 
 
+