Feature(LLMLingua): build the LLMLingua space demo

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 from llmlingua import PromptCompressor
 
-llm_lingua = PromptCompressor("gpt2", "cpu")
+llm_lingua = PromptCompressor(device_map="cpu")
 
 INTRO = """
 # LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
@@ -61,7 +61,7 @@ with gr.Blocks(css=custom_css) as iface:
             with gr.Tab('Prompts'):
                 instruction = gr.Textbox(
                     label="Instruction",
-                    lines=3,
+                    lines=1,
                     value="",
                 )
                 context = gr.Textbox(
@@ -71,7 +71,7 @@ with gr.Blocks(css=custom_css) as iface:
                 )
                 question = gr.Textbox(
                     label="Question",
-                    lines=3,
+                    lines=1,
                     value="",
                 )
             with gr.Tab('Compression Target'):