Create app.py

app.py

@@ -0,0 +1,20 @@
+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+import gradio as gr
+
+model_name = "gpt2"
+model = GPT2LMHeadModel.from_pretrained(model_name)
+tokenizer = GPT2Tokenizer.from_pretrained(model_name)
+
+def generate(text):
+    token_ids = tokenizer.encode(text, return_tensors="pt")
+    gpt2_tensors = model.generate(token_ids)
+    #response= gpt2_tensors
+    response = ""
+
+    for i, x in enumerate(gpt2_tensors):
+        respose += f"{i}: {tokenizer.decode(x, skip_special_tokens=True)}"
+    return response
+
+in_text = gr.Textbox(lines=1, label="English", placeholder="English text here")
+out = gr.Textbox(lines=1, label="Generated tensors")
+gr.Interface(generate, inputs=in_text, outputs=out).launch()