add print

app.py

@@ -20,7 +20,8 @@ from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer, set_seed
 
 def inference(input_sentence, max_length, sample_or_greedy, seed=42):
 
-    print("max_length", max_length)
+    print("input_sentence", input_sentence)
+
     if sample_or_greedy == "Sample":
         parameters = {
             "max_new_tokens": max_length,

spaces_info.py

@@ -28,6 +28,7 @@ examples = [
     #     "Sample",
     #     "Sample 1",
     # ],
+    ['']
     ['Translate English to French: mine mother ', 10, "Greedy", "Sample 1"],
     ["استخراج العدد العاملي في لغة بايثون:", 30, "Greedy", "Sample 1"],
     ["Pour déguster un ortolan, il faut tout d'abord", 32, "Sample", "Sample 1"],