Update app.py

app.py

@@ -16,10 +16,16 @@ examples = [
 ]
 
 title = "InstructionGen: Instructions from Text"
-description = "This demo compares the [flan-t5-small-instructiongen](https://huggingface.co/pszemraj/flan-t5-small-instructiongen) and [bart-base-instructiongen](https://huggingface.co/pszemraj/bart-base-instructiongen) models on 'creating' an instruction for arbitrary text."
+description = "This demo compares the [flan-t5-small-instructiongen](https://huggingface.co/pszemraj/flan-t5-small-instructiongen) and [bart-base-instructiongen](https://huggingface.co/pszemraj/bart-base-instructiongen) models on 'creating' an instruction for arbitrary text. Note that [the dataset](https://huggingface.co/datasets/pszemraj/fleece2instructions) & models are trained to **only** generate an `instruction`relevant to some text, and **do not** expect/recover the (potential) `inputs`"
 article = """---
+These models generate instructions **only** 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.
 
-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."""
+Example of the difference:
+- LLM instruction: "What is the capital of France?"
+- Instruction+specific inputs:
+  Instruction: "Provide information on the following:"
+  Specific Inputs: {"category": "geography", "question": "capital of France"}
+"""
 
 
 def inference(text):