Create app.py

app.py

@@ -0,0 +1,32 @@
+import gradio as gr
+
+
+from transformers import (
+    AutoModelForSeq2SeqLM,
+    AutoTokenizer,
+    AutoConfig,
+    pipeline,
+)
+
+model_name = "sagard21/python-code-explainer"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name, padding=True)
+
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+config = AutoConfig.from_pretrained(model_name)
+
+model.eval()
+
+pipe = pipeline("summarization", model=model_name, config=config, tokenizer=tokenizer)
+
+def generate_text(text_prompt):
+  response = pipe(text_prompt)
+  return response[0]['summary_text']
+
+textbox = gr.Textbox()
+
+demo = gr.Interface(generate_text, textbox, textbox)
+
+if __name__ == "__main__":
+    demo.launch()