Now the user doesn't have to wait for the que to know if their input was too long :)

app.py

@@ -13,10 +13,10 @@ def generate_tts(text, temperature=0.1, repetition_penalty=1.1, max_length=4096)
     # Set a character limit for the text input
     max_characters = 30  # adjust as needed
     
-    # Check if input text exceeds character limit
+    # Check if input text exceeds character limit when on CPU
     if is_cpu and len(text) > max_characters:
         raise gr.Error(
-            f"Text input is too long! Please limit to {max_characters} characters.\n This limit is in place to prevent long processing times as this interface is running on a free CPU tier."
+            f"Text input is too long! Please limit to {max_characters} characters.\nThis limit is in place to prevent long processing times as this interface is running on a free CPU tier."
         )
 
     # Log user input and parameters in the terminal
@@ -53,8 +53,22 @@ with gr.Blocks() as demo:
     def on_max_length_change(val):
         print(f"Max Length slider adjusted to: {val}")
     
-    # Text input
-    text_input = gr.Textbox(lines=2, placeholder="Enter text to convert to speech", label="Text")
+    # Dynamically set max_chars for text input based on whether it's CPU or GPU
+    if is_cpu:
+        text_input = gr.Textbox(
+            lines=2,
+            placeholder="Enter text to convert to speech (30 character limit on CPU)",
+            label="Text",
+            max_length=30  # Enforce character limit only on CPU
+        )
+    else:
+        text_input = gr.Textbox(
+            lines=2,
+            placeholder="Enter text to convert to speech",
+            label="Text"
+        )
+    
+    # Track changes for debugging
     text_input.change(on_text_input, inputs=text_input)
     
     # Sliders with change events for tracking