Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the summarization pipeline
+summarizer = pipeline("summarization", model="t5-small", tokenizer="t5-small")
+
+# Function for text summarization
+def summarize_text(text):
+    if text:
+        summary = summarizer(text, max_length=150, min_length=30, do_sample=False)
+        return summary[0]['summary_text']
+    return "Please enter text to summarize."
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=summarize_text,
+    inputs=gr.inputs.Textbox(lines=10, label="Enter text to summarize"),
+    outputs=gr.outputs.Textbox(label="Summary"),
+    title="Text Summarization",
+    description="Use the model to summarize text."
+)
+
+# Launch the Gradio interface
+iface.launch()