Update app.py

app.py

@@ -166,8 +166,8 @@ examples = [
 ]
 
 drop = gr.Dropdown(available_models, label="EXL2 Quant", value=default_bpw)
-temperature_gradio = gradio.Slider(minimum = 0, maximum = 1, label="Temperature", value=default_temperature, step = 0.05)
-context_size_gradio = gradio.Slider(minimum = 256, maximum = 32768, label="Context Size", value=default_max_context, step = 1)
-output_length_gradio = gradio.Slider(minimum = 1, maximum = 4096, label="Max Ouput Length", value=default_max_output, step = 1)
+temperature_gradio = gr.Slider(minimum = 0, maximum = 1, label="Temperature", value=default_temperature, step = 0.05)
+context_size_gradio = gr.Slider(minimum = 256, maximum = 32768, label="Context Size", value=default_max_context, step = 1)
+output_length_gradio = gr.Slider(minimum = 1, maximum = 4096, label="Max Ouput Length", value=default_max_output, step = 1)
 demo = gr.ChatInterface(fn=run_inference, examples = examples, title="Pixtral 12B EXL2", multimodal=True, description=description, additional_inputs = [drop,  temperature_gradio, context_size_gradio, output_length_gradio])
 demo.queue().launch()