Create app.py

app.py

@@ -0,0 +1,19 @@
+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()