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Create app.py
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app.py
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import gradio as gr
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import requests
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from bs4 import BeautifulSoup
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from transformers import pipeline
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# Fungsi untuk mengambil dan mengekstrak teks dari URL
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def fetch_web_content(url):
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try:
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# Mengambil konten dari URL
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response = requests.get(url, timeout=10)
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response.raise_for_status() # Memeriksa apakah request berhasil
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# Parsing HTML dengan BeautifulSoup
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soup = BeautifulSoup(response.text, 'html.parser')
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# Mengambil teks dari elemen <p> (paragraf) sebagai contoh
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paragraphs = soup.find_all('p')
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text = ' '.join([para.get_text() for para in paragraphs])
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if not text:
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return "Tidak ada teks yang ditemukan di halaman tersebut."
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return text[:2000] # Membatasi panjang teks untuk efisiensi
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except Exception as e:
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return f"Error saat mengambil konten: {str(e)}"
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# Memuat model ringkasan dari Hugging Face
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summarizer = pipeline('summarization', model='facebook/bart-large-cnn')
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# Fungsi untuk merangkum teks
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def summarize_text(text):
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if len(text) < 50:
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return "Teks terlalu pendek untuk dirangkum."
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try:
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summary = summarizer(text, max_length=150, min_length=30, do_sample=False)
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return summary[0]['summary_text']
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except Exception as e:
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return f"Error saat merangkum: {str(e)}"
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# Fungsi utama untuk antarmuka Gradio
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def browse_and_process(url, summarize=False):
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content = fetch_web_content(url)
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if summarize:
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summary = summarize_text(content)
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return content, summary
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return content, "Ringkasan tidak diminta."
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# Membuat antarmuka Gradio
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iface = gr.Interface(
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fn=browse_and_process,
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inputs=[
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gr.Textbox(label="Masukkan URL (contoh: https://example.com)"),
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gr.Checkbox(label="Ringkas konten menggunakan model Hugging Face")
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],
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outputs=[
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gr.Textbox(label="Konten dari Halaman Web"),
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gr.Textbox(label="Ringkasan (jika diminta)")
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],
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title="Web Content Fetcher dengan Gradio",
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description="Masukkan URL untuk mengambil teks dari halaman web. Centang kotak untuk merangkum konten menggunakan model Hugging Face."
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)
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# Menjalankan antarmuka
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iface.launch()
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