Create app.py

app.py

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+#for text generation
+import gradio as gr
+from transformers import pipeline
+
+text_generator = pipeline("text-generation", model="EleutherAI/gpt-neo-2.7B")
+
+def generate_text(prompt):
+    generated_text = text_generator(prompt, max_length=200)[0]["generated_text"]
+    return generated_text
+
+iface1 = gr.Interface(
+    generate_text,
+    inputs="text",
+    outputs="text",
+    title="Hugging Face Text Generation",
+    description="Generate text using Hugging Face's GPT-Neo 2.7B model.",
+    examples=[
+        ["The quick brown fox",],
+        ["Once upon a time",],
+        ["In a galaxy far, far away",],
+    ],
+)
+iface1.launch()