Update app.py

app.py

@@ -1,19 +1,2 @@
 import gradio as gr
-from transformers import AutoTokenizer, AutoModelForCasualLM
-
-tokenizer = AutoTokenizer.from_pretrained("togethercomputer/GPT-NeoXT-Chat-Base-20B")
-model = AutoModelForCausalLM.from_pretrained("togethercomputer/GPT-NeoXT-Chat-Base-20B", torch_dtype=torch.bfloat16)
-
-def gpt(prompt):
-    inputs = tokenizer("<human>: Hello!\n<bot>:", return_tensors='pt').to(model.device)
-    outputs = model.generate(**inputs, max_new_tokens=10, do_sample=True, temperature=0.8)
-    output_str = tokenizer.decode(outputs[0])
-    print(output_str)
-    return output_str
-
-grInterface = gr.Interface(
-    fn=gpt,
-    inputs="text",
-    outputs="text"
-)
-grInterface.launch()
+gr.Interface.load("models/togethercomputer/GPT-NeoXT-Chat-Base-20B").launch()