Update app.py

app.py

@@ -1 +1,15 @@
-pip install -r requirements.txt
+import gradio as gr
+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+
+# Load pre-trained model
+tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
+model = GPT2LMHeadModel.from_pretrained("gpt2")
+
+def generate_text(prompt):
+    inputs = tokenizer.encode(prompt, return_tensors="pt")
+    outputs = model.generate(inputs, max_length=150, num_return_sequences=1, temperature=0.7)
+    generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return generated_text
+
+iface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
+iface.launch()