format

app.py

@@ -21,6 +21,7 @@ article = """---
 
 These models generate instructions for Large Language Models (LLMs) from arbitrary text. They are fine-tuned on the [fleece2instructions](https://huggingface.co/datasets/pszemraj/fleece2instructions) dataset, which is a filtered/formatted version of the [alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca) dataset."""
 
+
 def inference(text):
     output_flan_t5 = pipe_flan_t5(
         text, num_beams=2, early_stopping=True, max_length=100
@@ -35,8 +36,10 @@ io = gr.Interface(
     inference,
     gr.Textbox(
         lines=3,
-        placeholder="Add text here & find out what intruction could cause an LLM to generate it!",
+        max_lines=10,
+        placeholder="Add text here & find out what LLM intruction/prompt might output that result!",
         interactive=True,
+        show_label=False,
     ),
     outputs=[
         gr.Textbox(lines=1, label="Flan T5 Small", interactive=False),
@@ -48,4 +51,4 @@ io = gr.Interface(
     examples=examples,
     cache_examples=False,
 )
-io.launch()
+io.launch()