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app.py

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+# -*- coding: utf-8 -*-
+"""app.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1-t9RYzLIxj4UDdky3Q_wyg29YwrPfJZN
+"""
+
+import gradio as gr
+from transformers import pipeline
+
+generator = pipeline("text-generation", model="gpt2")
+
+def generate_text(prompt):
+    output = generator(prompt, max_new_tokens=50, do_sample=True, return_full_text=False)
+    return output[0]["generated_text"]
+
+demo = gr.Interface(
+    fn=generate_text,
+    inputs=gr.Textbox(lines=4, placeholder="Type a short prompt here..."),
+    outputs=gr.Textbox(lines=4, label="Output"),
+    allow_flagging="never",
+    title="Text Generator Demo",
+    description="A simple Gradio app using GPT-2 from Hugging Face Transformers.",
+    theme="soft",
+)
+
+if __name__ == "__main__":
+    demo.queue().launch()

requirements.txt

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+gradio>=4
+transformers>=4.40
+accelerate
+torch