Update

app.py

@@ -1,9 +1,15 @@
-from transformers import pipeline
+import gradio as gr
+from transformers import GPT2LMHeadModel, GPT2Tokenizer
 
-# Load the model from the hub
-text_generator = pipeline("text-generation", model="your-username/gpt2-my-deployment")
+# Load pre-trained model and tokenizer
+model = GPT2LMHeadModel.from_pretrained("gpt2")
+tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
 
-# Generate text
-output = text_generator("Once upon a time", max_length=50)
-print(output)
+def generate_text(input_text):
+    input_ids = tokenizer.encode(input_text, return_tensors="pt")
+    output = model.generate(input_ids, max_length=50, num_return_sequences=1)
+    generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
+    return generated_text
 
+iface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
+iface.launch()