Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load summarization pipeline
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+# Define function to summarize input text
+def summarize_notes(text):
+    if len(text.strip()) == 0:
+        return "Please paste your academic notes."
+    summary = summarizer(text, max_length=150, min_length=40, do_sample=False)
+    return summary[0]['summary_text']
+
+# Gradio interface
+demo = gr.Interface(
+    fn=summarize_notes,
+    inputs=gr.Textbox(lines=15, placeholder="Paste your academic notes here...", label="Academic Notes"),
+    outputs=gr.Textbox(label="Summarized Notes"),
+    title="📚 Academic Note Summarizer",
+    description="Paste your long academic notes and get a short summary using a Hugging Face Transformer model."
+)
+
+# Launch the app
+demo.launch()