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
+pipe = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
+
+def summarize(input):
+    output = pipe(input)
+    return output[0]['summary_text']  # Assuming 'summary_text' is the correct key
+
+demo = gr.Interface(
+    fn=summarize,
+    inputs=gr.Textbox(lines=10, placeholder="Paste your text here...", label="Input Text"),
+    outputs=gr.Textbox(label="Summarized Output"),
+    title=" prateek-genAI Text Summarizer",
+    description="Enter a paragraph or article and get a concise summary using a text summarization model.",
+    theme="default",  # You can try "compact" or "huggingface"
+    examples=[
+        ["The internet has transformed how we access information. With just a few clicks..."],
+        ["Artificial Intelligence is a growing field in computer science that..."]
+    ],
+    allow_flagging="never"
+)
+
+demo.launch()
+