Create app.py

app.py

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+import torch
+import gradio as gr
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+# Initialize the summarization pipeline
+pipe = pipeline("summarization", model="Falconsai/text_summarization", torch_dtype=torch.float16)
+
+# Define the summarize function
+def summarize(input):
+    output = pipe(input)
+    return output[0]['summary_text']
+
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=summarize,
+    inputs=gr.Textbox(lines=10, placeholder="Enter text to summarize here..."),
+    outputs="text",
+    title="Text Summarizer",
+    description="Enter a long piece of text, and the summarizer will provide a concise summary."
+)
+
+# Launch the interface
+if __name__ == "__main__":
+    iface.launch()