Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the model from Hugging Face
+generator = pipeline('text-generation', model='JuanCabs/lapepav1')
+
+# Define the function for text generation
+def generate_text(prompt):
+    results = generator(prompt, max_length=100)
+    return results[0]['generated_text']
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=generate_text,  # The function to execute
+    inputs="text",     # Input type
+    outputs="text",    # Output type
+    title="Text Generation Model",  # Title of the app
+    description="Enter a prompt to generate text using a Hugging Face model"  # App description
+)
+
+# Launch the app
+interface.launch()