Update app.py

app.py

@@ -1595,7 +1595,7 @@ QALAHAYFAQYHDPDDEPVADPYDQSFESRDLLIDEWKSLTYDEVISFVPPPLDQEEMES
     def screen_recommend_model(fasta, family, task):
         task = TASK_MAP[task]
         score = TASK_METRIC_MAP[task]
-        benchmark_df = pd.read_csv('data/benchmarks/{task}_test_metrics.csv')
+        benchmark_df = pd.read_csv(f'data/benchmarks/{task}_test_metrics.csv')
 
         if family == 'General':
             seen_targets = pd.read_csv(
@@ -1687,7 +1687,7 @@ QALAHAYFAQYHDPDDEPVADPYDQSFESRDLLIDEWKSLTYDEVISFVPPPLDQEEMES
     def identify_recommend_model(smiles, task):
         task = TASK_MAP[task]
         score = TASK_METRIC_MAP[task]
-        benchmark_df = pd.read_csv('data/benchmarks/{task}_test_metrics.csv')
+        benchmark_df = pd.read_csv(f'data/benchmarks/{task}_test_metrics.csv')
 
         seen_drugs = pd.read_csv(
             f'data/benchmarks/seen_drugs/all_families_full_{task.lower()}_random_split.csv')