Update app.py

app.py

@@ -29,7 +29,10 @@ token = os.environ.get("HF_TOKEN")
 global chosen_strategy
 
 def generate(input_text, number_steps, number_beams, number_beam_groups, diversity_penalty, length_penalty, num_return_sequences, temperature, no_repeat_ngram_size, repetition_penalty, early_stopping, beam_temperature, top_p, top_k,penalty_alpha,top_p_box,top_k_box,strategy_selected,model_selected):
-
+    
+    global tokenizer
+    global model
+    
     chosen_strategy = strategy_selected
     inputs = tokenizer(input_text, return_tensors="pt")
     
@@ -160,6 +163,9 @@ def select_model(model_selected):
 def load_model ():
     
     global model_name
+    global tokenizer
+    global model
+    
     tokenizer = AutoTokenizer.from_pretrained(model_name)
     model = AutoModelForCausalLM.from_pretrained(model_name)