Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the pre-trained model
+generator = pipeline("text-generation", model="EleutherAI/gpt-neo-2.7B")
+
+# Define Gradio interface
+def generate_response(prompt):
+    # Generate response based on the prompt
+    response = generator(prompt, max_length=50, do_sample=True, temperature=0.9)
+    return response[0]['generated_text']
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=generate_response,
+    inputs="text",
+    outputs="text",
+    title="OpenAI Text Generation Model",
+    description="Enter a prompt and get a generated text response.",
+)
+
+# Deploy the Gradio interface
+iface.launch(share=True)