Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the summarization pipeline
+pipe = pipeline("summarization", model="yashugupta786/bart_large_xsum_samsum_conv_summarizer")
+
+# Summarization function
+def summarize(text):
+    summary = pipe(text)
+    return summary[0]['summary_text']
+
+# Gradio interface
+with gr.Blocks() as demo:
+    gr.Interface(
+        fn=summarize,
+        inputs=gr.Textbox(label="Input Text", placeholder="Enter text to summarize..."),
+        outputs=gr.Textbox(label="Summary"),
+        title="Text Summarization",
+        description="Summarize the input text using BART model."
+    ).launch()