App added

app.py

@@ -0,0 +1,14 @@
+import torch
+import gradio as gr
+from transformers import AutoModelForCausalLM
+
+model = AutoModelForCausalLM.from_pretrained('cbspace/gpt')
+tokenizer = tiktoken.encoding_for_model('gpt2')
+
+def generate(prompt):
+    inputs = tokenizer.encode(prompt)
+    outputs = model.generate(inputs, 42, greedy=False)
+    return outputs
+
+app = gr.Interface(fn=generate, inputs='text', outputs='text')
+app.launch()

requirements.txt

@@ -0,0 +1,3 @@
+torch
+transformers
+tiktoken