Delete app.py

app.py

@@ -1,28 +0,0 @@
-import gradio as gr
-from transformers import GPT2LMHeadModel, GPT2Tokenizer
-
-# Load the GPT-2 model and tokenizer
-model_name = "gpt2"
-model = GPT2LMHeadModel.from_pretrained(model_name)
-tokenizer = GPT2Tokenizer.from_pretrained(model_name)
-
-# Define the sentence completion function
-def complete_sentence(sentence):
-    input_ids = tokenizer.encode(sentence, return_tensors="pt")
-    output = model.generate(input_ids, max_length=50, num_return_sequences=1)
-    completed_sentence = tokenizer.decode(output[0], skip_special_tokens=True)
-    return completed_sentence
-
-# Create the Gradio interface
-iface = gr.Interface(
-    fn=complete_sentence,
-    inputs="text",
-    outputs="text",
-    title="Sentence Completion",
-    description="Enter a sentence to complete",
-    example="I love to"
-)
-
-# Launch the Gradio interface
-if __name__ == "__main__":
-    iface.launch()