Create app.py

app.py

@@ -0,0 +1,37 @@
+import gradio as gr
+from newspaper import Config, Article
+import torch
+from transformers import pipeline
+
+summarizer = pipeline("summarization", model="achimoraites/flan-t5-base-xsum")
+
+def summarize(text):
+    return summarizer(text, max_length=128, min_length=30)[0]['summary_text']
+
+def summarize_article(url):
+    config = Config()
+    config.browser_user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36"
+    config.request_timeout = 6
+
+    article = Article(url, config=config)
+    summary = ''
+    try:
+        article.download()
+        article.parse()
+        text = article.text()
+        summary = summarize(text)
+    except Exception as e:
+        return f"Failed to summarize. Error: {e}"
+    return summary
+
+
+
+iface = gr.Interface(fn=summarize_article, 
+                     outputs="text",
+                     live=False,
+                     capture_session=True, 
+                     inputs=gr.inputs.Textbox(lines=1, label="Page URL"),
+                     outputs="text",
+                     title="Page Summarizer",
+                    )
+iface.launch(inline = False)