Update app.py

app.py

@@ -1,8 +1,21 @@
 import gradio as gr
-from ai_powered_emoji_recommender import recommend_emojis  # your function
+from transformers import pipeline
 
-def predict(text):
-    return recommend_emojis(text)
+# Load summarizer pipeline (T5 model, lightweight)
+summarizer = pipeline("summarization", model="t5-small")
 
-iface = gr.Interface(fn=predict, inputs="text", outputs="text", title="AI Emoji Recommender")
-iface.launch()
+def summarize_text(text):
+    summary = summarizer(text, max_length=150, min_length=30, do_sample=False)
+    return summary[0]['summary_text']
+
+# Gradio interface
+iface = gr.Interface(
+    fn=summarize_text,
+    inputs=gr.Textbox(lines=8, placeholder="Paste any article or text here..."),
+    outputs=gr.Textbox(lines=8),  # show full text without scrolling
+    title="AI Text Summarizer 📖✨",
+    description="Paste long text and get concise, clear summaries instantly!"
+)
+
+if __name__ == "__main__":
+    iface.launch()