Update app.py

app.py

@@ -2,18 +2,6 @@ from transformers import AutoTokenizer
 import gradio as gr
 
 
-def load_tokenizers():
-    llama1_tokenizer = AutoTokenizer.from_pretrained("huggyllama/llama-7b")
-    llama2_tokenizer = AutoTokenizer.from_pretrained("TheBloke/Llama-2-7B-fp16")
-    mistral_tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-v0.1")
-    gpt2_tokenizer = AutoTokenizer.from_pretrained("gpt2")
-    gpt_neox_tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neox-20b")
-    falcon_tokenizer = AutoTokenizer.from_pretrained("tiiuae/falcon-7b")
-    phi2_tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2")
-    t5_tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-xxl")
-    
-
-
 def tokenize(input_text):
     llama1_tokens = llama1_tokenizer(input_text, add_special_tokens=True)["input_ids"]
     llama2_tokens = llama2_tokenizer(input_text, add_special_tokens=True)["input_ids"]
@@ -23,13 +11,19 @@ def tokenize(input_text):
     falcon_tokens = falcon_tokenizer(input_text, add_special_tokens=True)["input_ids"]
     phi2_tokens = phi2_tokenizer(input_text, add_special_tokens=True)["input_ids"]
     t5_tokens = t5_tokenizer(input_text, add_special_tokens=True)["input_ids"]
-    
 
     return f"LLaMa-1: {len(llama1_tokens)}\nLLaMa-2: {len(llama2_tokens)}\nMistral: {len(mistral_tokens)}\nGPT-2/GPT-J: {len(gpt2_tokens)}\nGPT-NeoX: {len(gpt_neox_tokens)}\nFalcon: {len(falcon_tokens)}\nPhi-2: {len(phi2_tokens)}\nT5: {len(t5_tokens)}"
 
 
 if __name__ == "__main__":
-    load_tokenizers()
-    
+    llama1_tokenizer = AutoTokenizer.from_pretrained("huggyllama/llama-7b")
+    llama2_tokenizer = AutoTokenizer.from_pretrained("TheBloke/Llama-2-7B-fp16")
+    mistral_tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-v0.1")
+    gpt2_tokenizer = AutoTokenizer.from_pretrained("gpt2")
+    gpt_neox_tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neox-20b")
+    falcon_tokenizer = AutoTokenizer.from_pretrained("tiiuae/falcon-7b")
+    phi2_tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2")
+    t5_tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-xxl")
+
     iface = gr.Interface(fn=tokenize, inputs=gr.Textbox(lines=7), outputs="text")
-    iface.launch()
+    iface.launch()