Update app.py

app.py

@@ -13,6 +13,9 @@ pipeline = transformers.pipeline(
 
 # Define the function to generate text
 def generate_text(input_text, max_new_tokens, temperature, top_p, split_output):
+    if split_output:
+        max_new_tokens=30
+        top_p=0.95
     output = pipeline(
         input_text,
         max_new_tokens=max_new_tokens,
@@ -26,25 +29,6 @@ def generate_text(input_text, max_new_tokens, temperature, top_p, split_output):
             return sentences[0] + '.'
     return generated_text
 
-# JavaScript to dynamically enable/disable sliders based on the checkbox state
-js_code = """
-() => {
-    const checkbox = document.querySelector('input[type="checkbox"]');
-    const sliders = document.querySelectorAll('input[type="range"]');
-    checkbox.addEventListener('change', () => {
-        sliders.forEach(slider => {
-            slider.disabled = checkbox.checked;
-        });
-    });
-    if (checkbox.checked) {
-        sliders.forEach(slider => {
-            slider.disabled = true;
-        });
-    }
-}
-"""
-
-
 # Create the Gradio interface
 input_text = gr.Textbox(lines=2, placeholder="Enter your text here...", label="Input Text")
 
@@ -67,9 +51,6 @@ with gr.Blocks() as iface:
     btn = gr.Button("Generate")
     btn.click(generate_text, [input_text, max_new_tokens, temperature, top_p, split_output], output)
 
-    # Add custom JavaScript
-    iface.load(js_code)
-
 # Launch the interface
 if __name__ == "__main__":
     iface.launch()