Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Initialize the model from your Hugging Face account
+model = pipeline('text-generation', model='electric-otter/litemachine-quick-4')
+
+# Define the function to generate text
+def generate_text(input_text):
+    generated_text = model(input_text, max_length=100, num_return_sequences=1)  # Customize parameters as needed
+    return generated_text[0]['generated_text']
+
+# Create the Gradio interface
+interface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
+
+# Launch the interface
+interface.launch()