Update app.py

app.py

@@ -113,9 +113,9 @@ def watset(G: nx.Graph, algorithm: str, seed: int = 0,
                                     capture_output=True, text=True, timeout=timeout)
 
             if result.returncode != 0:
-                raise gr.Error(f'Backend error (code {result.returncode}): {result.stderr}')
+                raise gr.Error(f'Clustering error (code {result.returncode}): {result.stderr}')
         except subprocess.SubprocessError as e:
-            raise gr.Error(f'Backend error: {e}')
+            raise gr.Error(f'Clustering error: {e}')
 
         df_clusters = pd.read_csv(clusters, sep='\t', names=('cluster', 'size', 'items'),
                                   dtype={'cluster': int, 'size': int, 'items': str})
@@ -130,9 +130,9 @@ def watset(G: nx.Graph, algorithm: str, seed: int = 0,
                                         capture_output=True, text=True, timeout=timeout)
 
                 if result.returncode != 0:
-                    raise gr.Error(f'Backend error (code {result.returncode}): {result.stderr}')
+                    raise gr.Error(f'Graph error (code {result.returncode}): {result.stderr}')
             except subprocess.SubprocessError as e:
-                raise gr.Error(f'Backend error: {e}')
+                raise gr.Error(f'Graph error: {e}')
 
             G_senses = nx.read_edgelist(senses.name, delimiter='\t', comments='\n', data=[('weight', float)])
 
@@ -150,7 +150,7 @@ def handler(file: IO[bytes], algorithm: str, seed: int) -> Tuple[pd.DataFrame, p
 
     with open(file.name) as f:
         try:
-            dialect = csv.Sniffer().sniff(f.readline(4096))
+            dialect = csv.Sniffer().sniff(f.read(4096))
             delimiter = dialect.delimiter
         except csv.Error:
             delimiter = ','