Update

app.py

@@ -1,15 +1,9 @@
-import gradio as gr
-from transformers import GPT2LMHeadModel, GPT2Tokenizer
+from transformers import pipeline
 
-# Load pre-trained model and tokenizer
-model = GPT2LMHeadModel.from_pretrained("gpt2")
-tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
+# Load the model from the hub
+text_generator = pipeline("text-generation", model="your-username/gpt2-my-deployment")
 
-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
+# Generate text
+output = text_generator("Once upon a time", max_length=50)
+print(output)
 
-iface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
-iface.launch()