update description

app.py

@@ -25,8 +25,8 @@ DESCRIPTION= """Welcome to the CyberSolve LinAlg 1.2 demo! \n
 Specifically, the **CyberSolve LinAlg 1.x** family of models
 are downstream versions of the 783M parameter FLAN-T5 text-to-text transformer, fine-tuned on the Google DeepMind Mathematics dataset for the purpose of solving linear equations of a single variable. 
 To effectively query the model for its intended task, prompt the model solve an arbitrary linear equation of a single variable with a query of the form: *"Solve 24 = 1601c - 1605c for c."*; the model 
-will return its prediciton in a simple format. The algebraic capabailites far exceed those of the base FLAN-T5 model. CyberSolve LinAlg 1.2 achieves a 90.7 percent exact match benchmark on the DeepMind Mathematics
-evaluation dataset of 10,000 unique linear equations; the FLAN-T5 base model scores 9.6 percent. 
+will return its prediciton in a simple format. The algebraic capabailites of CyberSolve far exceed those of the base FLAN-T5 model. CyberSolve LinAlg 1.2 achieves a 90.7 percent exact match benchmark 
+on the DeepMind Mathematics evaluation dataset of 10,000 unique linear equations; the FLAN-T5 base model scores 9.6 percent. 
 
 On the left is a sidebar of **Examples** that can be clicked to query to model.