Update app.py

app.py

@@ -1,26 +1,6 @@
 import gradio as gr
-from transformers import AutoTokenizer, AutoModelForCausalLM
 
-def code_v1(input_text):
-    # load tokenizer
-    tokenizer = AutoTokenizer.from_pretrained('replit/replit-code-v1-3b', trust_remote_code=True)
 
-    # load model
-    model = AutoModelForCausalLM.from_pretrained('replit/replit-code-v1-3b')
-
-    # single input encoding + generation
-    x = tokenizer.encode(input_text, return_tensors='pt')
-    y = model.generate(x)
-    
-    # decoding, clean_up_tokenization_spaces=False to ensure syntactical correctness
-    generated_code = tokenizer.decode(y[0], skip_special_tokens=True, clean_up_tokenization_spaces=False)
-    return generated_code
-
-prompt = gr.inputs.Textbox(label="Prompt")
-run_button = gr.outputs.Button(label="Run")
-output_prompt = gr.outputs.Textbox(label="Output")
-
-iface = gr.Interface(fn=code_v1, inputs=prompt, outputs=output_prompt)
-iface.launch()
+gr.Interface.load("models/replit/replit-code-v1-3b").launch()