Create app.py

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from transformers import pipeline
+
+# Initialize Hugging Face pipeline
+nlp = pipeline('text-generation', model='gpt2')
+
+def generate_text(input_text):
+    # Generate text using Hugging Face's GPT-2 model
+    output_text = nlp(input_text)[0]['generated_text']
+    return output_text
+
+# Create Gradio Interface
+iface = gr.Interface(
+    fn=generate_text, 
+    inputs=gr.inputs.Textbox(lines=2, placeholder='Enter Text Here...', maxlength=3000), 
+    outputs='text'
+)
+
+iface.launch()