Upload Streamlit app for Indonesian summarizer

README.md

@@ -1,13 +1,25 @@
----
-title: Test T5 Text Summarization Id Liputan6
-emoji: 💻
-colorFrom: gray
-colorTo: yellow
-sdk: streamlit
-sdk_version: 1.44.1
-app_file: app.py
-pinned: false
-short_description: Test for text summarization using T5-base-Indonesian
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Indonesian News Summarizer
+
+This is a Streamlit web app that summarizes Indonesian news articles using the `cahya/t5-base-indonesian-summarization-cased` model from Hugging Face.
+
+## Features
+- Input a news article URL (e.g., from Detik.com)
+- Extracts full article text using `newspaper3k`
+- Summarizes using a fine-tuned T5 model
+
+## Setup & Run
+
+```bash
+pip install -r requirements.txt
+streamlit run app.py
+```
+
+## Deployment on Hugging Face Spaces
+1. Create a new Space (SDK: Streamlit)
+2. Clone the Hugging Face repo
+3. Push this project into the repo
+```bash
+git add .
+git commit -m "Upload summarizer app"
+git push
+```

app.py

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+import streamlit as st
+from newspaper import Article
+from transformers import pipeline
+
+# Load model from Hugging Face
+@st.cache_resource
+def load_summarizer():
+    return pipeline(
+        "summarization",
+        model="cahya/t5-base-indonesian-summarization-cased",
+        tokenizer="cahya/t5-base-indonesian-summarization-cased"
+    )
+
+summarizer = load_summarizer()
+
+st.title("📰 Indonesian News Summarizer")
+st.write("Enter a URL from an Indonesian news website (e.g. Detik.com)")
+
+url = st.text_input("Paste the article URL here:")
+
+if st.button("Show Article Text"):
+    if url:
+        try:
+            article = Article(url, language='id')
+            article.download()
+            article.parse()
+            st.subheader("Full Article:")
+            st.write(article.text)
+            st.session_state.article_text = article.text
+        except Exception as e:
+            st.error(f"Failed to fetch article: {str(e)}")
+    else:
+        st.warning("Please input a valid URL.")
+
+if st.button("Summarize"):
+    if "article_text" in st.session_state:
+        with st.spinner("Summarizing..."):
+            input_text = "ringkasan: " + st.session_state.article_text
+            summary = summarizer(input_text, max_length=150, min_length=40, do_sample=False)
+            st.subheader("Summary:")
+            st.success(summary[0]['summary_text'])
+    else:
+        st.warning("No article text found. Please load the article first.")

requirements.txt

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+streamlit
+newspaper3k
+transformers
+torch