Update app.py

app.py

@@ -112,9 +112,9 @@ title = "Compressive sensing: Tomography reconstruction with L1 prior (Lasso)"
 
 des="This example shows the reconstruction of an image from a set of parallel projections, acquired along different angles. Such a dataset is acquired in computed tomography (CT)."
 with gr.Blocks(title=title) as demo:
-    gr.Markdown(f" {title}")
+    gr.Markdown(f"#{title}")
     gr.Markdown(f"{des}")
-    gr.Markdown("[This demo is based on Scikit-Learn example](https://scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html#sphx-glr-auto-examples-applications-plot-tomography-l1-reconstruction-py)")
+    gr.Markdown("This demo is based on this [scikit-learn example](https://scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html#sphx-glr-auto-examples-applications-plot-tomography-l1-reconstruction-py).")
     
     with gr.Row():
         l=gr.Slider(minimum=100, maximum=500, step=1,  value = 128, label = "Linear size")