fix typo in readme

README.md

@@ -10,10 +10,6 @@ app_file: app.py
 pinned: false
 ---
 
-# Metric Card for horizon--metrics
-
-**_Module Card Instructions:_** _Fill out the following subsections. Feel free to take a look at existing metric cards if you'd like examples._
-
 ## SEA-AI/horizon-metrics
 
 This huggingface metric uses `seametrics.horizon.HorizonMetrics` under the hood to calculate the slope and midpoint errors.
@@ -37,41 +33,40 @@ To get started with horizon-metrics, make sure you have the necessary dependenci
 This is how you can quickly evaluate your horizon prediction models using SEA-AI/horizon-metrics:
 
 ```python
-  import evaluate
+import evaluate
 
-  ground_truth_points = [[[0.0, 0.5384765625], [1.0, 0.4931640625]],
-                        [[0.0, 0.53796875], [1.0, 0.4928515625]],
-                        [[0.0, 0.5374609375], [1.0, 0.4925390625]],
-                        [[0.0, 0.536953125], [1.0, 0.4922265625]],
-                        [[0.0, 0.5364453125], [1.0, 0.4919140625]]]
+ground_truth_points = [[[0.0, 0.5384765625], [1.0, 0.4931640625]],
+                      [[0.0, 0.53796875], [1.0, 0.4928515625]],
+                      [[0.0, 0.5374609375], [1.0, 0.4925390625]],
+                      [[0.0, 0.536953125], [1.0, 0.4922265625]],
+                      [[0.0, 0.5364453125], [1.0, 0.4919140625]]]
 
-  prediction_points = [[[0.0, 0.5428930956049597], [1.0, 0.4642497615378973]],
-                      [[0.0, 0.5428930956049597], [1.0, 0.4642497615378973]],
-                      [[0.0, 0.523573113510805], [1.0, 0.47642688648919496]],
-                      [[0.0, 0.5200016849393765], [1.0, 0.4728554579177664]],
-                      [[0.0, 0.523573113510805], [1.0, 0.47642688648919496]]]
+prediction_points = [[[0.0, 0.5428930956049597], [1.0, 0.4642497615378973]],
+                    [[0.0, 0.5428930956049597], [1.0, 0.4642497615378973]],
+                    [[0.0, 0.523573113510805], [1.0, 0.47642688648919496]],
+                    [[0.0, 0.5200016849393765], [1.0, 0.4728554579177664]],
+                    [[0.0, 0.523573113510805], [1.0, 0.47642688648919496]]]
 
 
-  module = evaluate.load("SEA-AI/horizon-metrics")
-  module.add(predictions=ground_truth_points, references=prediction_points)
-  result = module.compute()
+module = evaluate.load("SEA-AI/horizon-metrics")
+module.add(predictions=ground_truth_points, references=prediction_points)
+module.compute()
 
-  print(result)
 ```
 
 This is output the evalutaion metrics for your horizon prediciton model:
 
 ```python
-  {
-    'average_slope_error': 0.014823194839790999,
-    'average_midpoint_error': 0.014285714285714301,
-    'stddev_slope_error': 0.01519178791378349,
-    'stddev_midpoint_error': 0.0022661781575342445,
-    'max_slope_error': 0.033526146567062376,
-    'max_midpoint_error': 0.018161272321428612,
-    'num_slope_error_jumps': 1,
-    'num_midpoint_error_jumps': 1
-  }
+{
+  'average_slope_error': 0.014823194839790999,
+  'average_midpoint_error': 0.014285714285714301,
+  'stddev_slope_error': 0.01519178791378349,
+  'stddev_midpoint_error': 0.0022661781575342445,
+  'max_slope_error': 0.033526146567062376,
+  'max_midpoint_error': 0.018161272321428612,
+  'num_slope_error_jumps': 1,
+  'num_midpoint_error_jumps': 1
+}
 ```
 
 ### Output Values