Add GPT-2 text generation application

app.py

@@ -0,0 +1,16 @@
+
+    import gradio as gr
+    from transformers import AutoModelForCausalLM, AutoTokenizer
+
+    model_name = "gpt2"
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    model = AutoModelForCausalLM.from_pretrained(model_name)
+
+    def generate_text(prompt):
+        inputs = tokenizer(prompt, return_tensors="pt")
+        outputs = model.generate(inputs.input_ids, max_length=50)
+        return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+    demo = gr.Interface(fn=generate_text, inputs="text", outputs="text")
+    demo.launch()
+    

requirements.txt

@@ -0,0 +1,3 @@
+transformers
+torch
+gr