Create app.py

app.py

@@ -0,0 +1,18 @@
+from transformers import pipeline, set_seed
+import gradio as grad
+
+gpt2_pipe = pipeline('text-generation', model = 'distilgpt2')
+set_seed(42)
+
+def generate(starting_text):
+    response = gpt2_pipe(starting_text, max_length = 20, num_return_sequence = 5)
+
+    return response
+
+txt = grad.Textbox(lines = 1, label = 'English', placeholder = 'English Text Here')
+out = grad.Textbox(lines = 1, label = 'Generated Text')
+grad.Interface(
+    generate,
+    inputs = txt,
+    outputs = out
+).launch()