adding app.py

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model = AutoModelForCausalLM.from_pretrained("khotveer1/gpt2-medium-lora-finetuned-shakespeare")
+tokenizer = AutoTokenizer.from_pretrained("khotveer1/gpt2-medium-lora-finetuned-shakespeare")
+
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(
+        **inputs,
+        max_length=80,
+        do_sample=True,
+        top_k=40,
+        temperature=0.8,
+        repetition_penalty=1.15,
+    )
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+gr.Interface(fn=generate_text, inputs="text", outputs="text", title="Shakespeare GPT-2").launch()