auto-adjust num_beam_groups to the greatest divisor of m

app.py

@@ -80,6 +80,7 @@ def suggest_next(text, model_name, k, m, num_beam_groups, diversity_penalty):
         "early_stopping": True,
     }
     if diversity_penalty and diversity_penalty > 0:
+        valid_group = gcd(m, num_beam_groups)
         gen_kwargs["num_beam_groups"] = num_beam_groups
         gen_kwargs["diversity_penalty"] = float(diversity_penalty)