Feature(LLMLingua): add examples

app.py

@@ -20,6 +20,14 @@ To use it, upload your prompt and set the compression target.
 You can check our [repo](https://aka.ms/LLMLingua)!
 """
 
+INTRO_EXAMPLES = '''
+## Examples in GSM8K
+Below are some examples of compressing prompts in GSM8K using different small language models. The original prompt [1] is taken from "Complexity-Based Prompting for Multi-step Reasoning" [2], with an original length of 2,365 tokens. Black-box LLMs use GPT-3.5-Turbo-0301 with greedy decoding.
+
+[1] https://github.com/FranxYao/chain-of-thought-hub/blob/main/gsm8k/lib_prompt/prompt_hardest.txt<br>
+[2] Fu, Yao, et al. "Complexity-Based Prompting for Multi-step Reasoning." The Eleventh International Conference on Learning Representations. 2022.
+'''
+
 custom_css = """
     #image-upload {
         flex-grow: 1;
@@ -54,7 +62,7 @@ EXAMPLES = [
     [
         "lgaalves/gpt2-dolly",
         "8.7x",
-        "",
+        "78.24",
         "Question: can buy 4 1melon for You bought 36 fruits evenly split between of 1 $. does cost if bill $\n's think step\nIf between 3 then I 363 = 12 of fruit 1 orange then oranges506If I oranges I $66 $60 on the 2 fruit\n the of is, and that price and is 1W4AIf we know we bought 12 and 12W\n thatW can the 12 = 48\n of apple (60/The 1\n: Sam a dozen boxes with 30ighter pens each Heanged into six3 the separately of three. much in\n's boxes $120 12 =Sam then took 5 boxes × 6 highlighters/box = 30 highlighters.\nHe sold these boxes for 5 * $3 = $15\nAfter selling these 5 boxes there were 360 - 30 = 330 highlighters remaining.\nThese form 330 / 3 = 110 groups of three pens.\nHe sold each of these groups for $2 each, so made 110 * 2 = $220 from them.\nIn total, then, he earned $220 + $15 = $235.\nSince his original cost was $120, he earned $235 - $120 = $115 in profit.\nThe answer is 115",
     ],
     [
@@ -142,7 +150,7 @@ with gr.Blocks(css=custom_css) as iface:
     #     examples=EXAMPLES,
     #     inputs=[model_name, compressed_prompt, saving_ratio, acc],
     # )
-    gr.Markdown("## Examples in GSM8K")
+    gr.Markdown(INTRO_EXAMPLES)
 
     gr.Dataframe(
         value=EXAMPLES,