Create app.py

app.py

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+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+import gradio as grad
+
+mdl = GPT2LMHeadModel.from_pretrained('gpt2')
+gpt2_tkn = GPT2Tokenizer.from_pretrained('gpt2')
+
+def generate(starting_text):
+    tkn_ids = gpt2_tkn.encode(starting_text, return_tensors = 'pt')
+    gpt2_tensors = mdl.generate(tkn_ids)
+    response = gpt2_tensors
+
+    return response
+
+txt = grad.Textbox(lines = 1, label = 'English', placeholder = 'English Text Here')
+out = grad.Textbox(lines = 1, label = 'Generated Tensors')
+grad.Interface(
+    generate,
+    inputs = txt,
+    outputs = out
+).launch()