Update inference_app.py

inference_app.py

@@ -71,7 +71,7 @@ def optimize_coordinate(points, bound_buffer=15, dmin=6.05):
         )
 
     # Define the constraint function (ensure dmin distance)
-    con = NonlinearConstraint(lambda x: np.min(np.linalg.norm(points - x, axis=1)), dmin, 10)
+    con = NonlinearConstraint(lambda x: np.min(np.linalg.norm(points - x, axis=1)), dmin, 8)
 
     # Define the objective function (minimize pairwise distance)
     def objective(x):
@@ -103,7 +103,6 @@ def predict(input_sequence, input_ligand, input_msa, input_protein):
     # return an output pdb file with the protein and ligand with resname LIG or UNK. 
     # also return any metrics you want to log, metrics will not be used for evaluation but might be useful for users
     metrics = {"min_dist": min_dist}
-    metrics = {}
     
     end_time = time.time()
     run_time = end_time - start_time