typo and model title

app.py

@@ -17,14 +17,14 @@ EXAMPLE_PROMPTS = [
     "Solve 49*l + 45*l - 125 - 63 = 0 for l.",
 ]
 
-TITLE = "CyberSolve LinAlg 1.2"
+TITLE = "🤖CyberSolve LinAlg 1.2🧠"
 DESCRIPTION= """Welcome to the CyberSolve LinAlg 1.2 demo! \n
 
 **Overview and Usage**: This 🤗 Space is designed to demo the abilities of the **CyberSolve LinAlg 1.2** text-to-text language model. 
 
 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 
+To effectively query the model for its intended task, prompt the model to 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 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.