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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +354 -37
src/streamlit_app.py
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@@ -1,40 +1,357 @@
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import pandas as pd
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import streamlit as st
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import os
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import tempfile
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import time
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from random import random
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from pathlib import Path
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import pandas as pd
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import polars as pl
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import streamlit as st
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import requests
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import cloudscraper
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from bs4 import BeautifulSoup
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import regex as re
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import subprocess
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base_url = 'https://www.taiwan-panorama.com/'
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#%%
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def getPage(url):
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headers = {'user-agent': 'Chrome/143.0.7499.170'}
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scraper = cloudscraper.create_scraper(
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browser={
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'browser': 'chrome',
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'platform': 'windows',
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'mobile': False
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}
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)
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DONE = False
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MAXTRIALS = 10
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cnt_fail = 0
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res = None
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while not DONE:
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try:
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#res = requests.get(url, headers=headers)
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res = scraper.get(url)
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except requests.exceptions.RequestException:
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try:
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res = requests.get(url, headers=headers)
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except:
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cnt_fail += 1
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print(f"failed {cnt_fail} time(s)...[{url}]", flush=True)
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DONE = res != None or cnt_fail > MAXTRIALS
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time.sleep(5 + random()*6)
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if res == None:
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return None
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else:
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res.encoding = 'utf-8'
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return res.status_code, res.text
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def retrieveTWP(src_url, lang):
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paras_zh = None
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paras_en = None
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# zh
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status, html = getPage(src_url)
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if status == 200:
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soup = BeautifulSoup(html, 'lxml')
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try:
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articles = soup.find_all('article')
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if articles:
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paras = articles[0].find_all(('h1', 'h2', 'p'))
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paras_zh = [p.text.strip() for p in paras]
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paras_zh = [p for p in paras_zh if p]
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except:
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pass
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# en
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tgt_url = base_url + f"/{lang}/Articles/Details?Guid=" + getURLlang(soup, lang)
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status, html = getPage(tgt_url)
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if status == 200:
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soup = BeautifulSoup(html, 'lxml')
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try:
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articles = soup.find_all('article')
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if articles:
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paras = articles[0].find_all(('h1', 'h2', 'p'))
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paras_en = [p.text.strip() for p in paras]
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paras_en = [p for p in paras_en if p]
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except:
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pass
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return paras_zh, paras_en
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def getURLlang(soup, lang):
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"""
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Input: Parsed HTML of zh article
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Output: URL of same article but in language "lang" (e.g., 'en', 'ja')
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"""
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guid_regex = re.compile(r"Guid=([\da-z-]+?)\&")
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urls = soup.find_all('a', {'href': re.compile(fr"^/{lang}/Articles/Details\?Guid=")})
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if urls:
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guids = guid_regex.findall(urls[0]['href'])
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if guids:
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return guids[0]
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return None
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def save_uploaded_file(uploaded_file):
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"""
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Helper function to save an uploaded file to a temporary directory.
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Returns the absolute path to the saved file.
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"""
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try:
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# Use a safe ASCII suffix
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suffix = os.path.splitext(uploaded_file.name)[1]
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if not suffix:
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suffix = ".pdf"
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with tempfile.NamedTemporaryFile(delete=False, suffix=suffix) as tmp_file:
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tmp_file.write(uploaded_file.getvalue())
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return tmp_file.name
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except Exception as e:
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st.error(f"Error saving file: {e}")
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return None
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# Import Defense Digest Processor
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try:
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from defense_digest import DefenseDigestProcessor
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except ImportError:
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DefenseDigestProcessor = None
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st.error(
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"Could not import DefenseDigestProcessor. Make sure dependencies are installed."
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)
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def processInputData(files=None, urls=None, input_type=None):
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"""
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Dummy placeholder function to process input data.
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Returns a pandas DataFrame with columns: cosine_distance, source_language, target_language.
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"""
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# Handle Defense Digest Logic
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if input_type == "Defense Digest" and DefenseDigestProcessor:
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processor = DefenseDigestProcessor()
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all_dfs = []
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progress_bar = st.progress(0)
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status_text = st.empty()
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log_area = st.expander("Processing Log", expanded=True)
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logs = []
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def update_progress(msg):
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status_text.text(msg)
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logs.append(msg)
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# Keep only last 20 lines for display to avoid clutter, or show all in expander
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log_area.code("\n".join(logs[-20:]))
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if files:
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for i, uploaded_file in enumerate(files):
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saved_path = save_uploaded_file(uploaded_file)
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if saved_path:
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update_progress(f"Processing {uploaded_file.name}...")
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try:
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# Save intermediate files to current directory
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# Pass original filename as display_name
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df = processor.process_pdf(
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saved_path,
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output_dir=os.getcwd(),
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progress_callback=update_progress,
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display_name=uploaded_file.name,
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)
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if df is not None and not df.empty:
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all_dfs.append(df)
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except Exception as e:
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st.error(f"Error processing {uploaded_file.name}: {e}")
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finally:
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# Cleanup temp file
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| 179 |
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try:
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# os.remove(saved_path) # Commented out for debugging
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pass
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| 182 |
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except:
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pass
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progress_bar.progress((i + 1) / len(files))
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| 187 |
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if all_dfs:
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return pd.concat(all_dfs, ignore_index=True)
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| 189 |
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else:
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| 190 |
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return pd.DataFrame(
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| 191 |
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columns=["cosine_distance", "source_language", "target_language"]
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| 192 |
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)
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| 193 |
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| 194 |
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elif input_type == "Taiwan Panorama":
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| 196 |
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src_url = urls[0]
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| 197 |
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tgt_url = urls[1]
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| 199 |
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lang = 'en' # target language
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st.success("Retrieving Panorama pages...")
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paras_zh, paras_en = retrieveTWP(src_url, lang)
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| 203 |
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st.success("Completed retrieval of Panorama pages...")
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fon_src = f'{paras_zh[0]}.zh.txt'
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fon_tgt = f'{paras_zh[0]}.{lang}.txt'
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with open(fon_src, 'w', encoding='utf-8', newline='\n') as fo:
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fo.write('\n'.join(paras_zh) + '\n')
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st.success(f"Written source file: {fon_src}")
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| 210 |
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with open(fon_tgt, 'w', encoding='utf-8', newline='\n') as fo:
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fo.write('\n'.join(paras_en) + '\n')
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st.success(f"Written target file: {fon_tgt}")
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st.success(f"Source URL: {src_url}")
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st.success(f"Target URL: {tgt_url}")
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start_time = time.perf_counter()
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| 219 |
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st.success("Begin aligning bitext...")
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fin = paras_zh[0]
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result = subprocess.run(['python', 'alignGenericGGUF.py', fin], capture_output=True, text=True)
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end_time = time.perf_counter()
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duration = end_time - start_time
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st.success(f"Done aligning bitext in: {duration:.2f} seconds")
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print(result.stdout)
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print(result.stderr)
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elif input_type == "Scientific American Taiwan":
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pass
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| 234 |
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# Default Dummy Logic for other types or if processor fails
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| 236 |
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# Example: Save files to disk for processing
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| 237 |
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file_paths = []
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| 238 |
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if files:
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| 239 |
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for uploaded_file in files:
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| 240 |
+
# Option 1: Process directly from memory (if library supports it)
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| 241 |
+
# pdf_reader = PyPDF2.PdfReader(uploaded_file)
|
| 242 |
+
|
| 243 |
+
# Option 2: Save to disk (common for many libraries)
|
| 244 |
+
saved_path = save_uploaded_file(uploaded_file)
|
| 245 |
+
if saved_path:
|
| 246 |
+
file_paths.append(saved_path)
|
| 247 |
+
# st.write(f"Saved {uploaded_file.name} to {saved_path}") # Debug info
|
| 248 |
+
|
| 249 |
+
|
| 250 |
+
|
| 251 |
+
# Dummy data
|
| 252 |
+
data = {
|
| 253 |
+
"cosine_distance": [0.1, 0.2, 0.05, 0.3],
|
| 254 |
+
"source_language": [
|
| 255 |
+
"This is a sentence.",
|
| 256 |
+
"Another sentence.",
|
| 257 |
+
"Hello world.",
|
| 258 |
+
"Testing.",
|
| 259 |
+
],
|
| 260 |
+
"target_language": [
|
| 261 |
+
"C'est une phrase.",
|
| 262 |
+
"Une autre phrase.",
|
| 263 |
+
"Bonjour le monde.",
|
| 264 |
+
"Test.",
|
| 265 |
+
],
|
| 266 |
+
}
|
| 267 |
+
|
| 268 |
+
aligned_files = list(Path('./').rglob(f"{fin}.vecalign*.txt"))
|
| 269 |
+
if aligned_files:
|
| 270 |
+
df = pl.read_csv(
|
| 271 |
+
source=aligned_files[0],
|
| 272 |
+
separator='\t',
|
| 273 |
+
has_header=True,
|
| 274 |
+
null_values='',
|
| 275 |
+
)
|
| 276 |
+
else:
|
| 277 |
+
df = pd.DataFrame(data)
|
| 278 |
+
|
| 279 |
+
return df
|
| 280 |
+
|
| 281 |
+
def main():
|
| 282 |
+
st.set_page_config(page_title="Bitext Aligner", layout="wide")
|
| 283 |
+
|
| 284 |
+
st.title("Bitext Alignment Tool")
|
| 285 |
+
|
| 286 |
+
st.markdown("""
|
| 287 |
+
<style>
|
| 288 |
+
table {
|
| 289 |
+
width: 100%;
|
| 290 |
+
}
|
| 291 |
+
th:nth-child(1) { width: 50px; }
|
| 292 |
+
th:nth-child(2) { width: 80px; }
|
| 293 |
+
th:nth-child(3) { width: 100px; }
|
| 294 |
+
th:nth-child(4) { width: 500px; }
|
| 295 |
+
th:nth-child(5) { width: 100px; }
|
| 296 |
+
th:nth-child(6) { width: 500px; }
|
| 297 |
+
td {
|
| 298 |
+
word-wrap: break-word;
|
| 299 |
+
min-width: 50px;
|
| 300 |
+
max-width: 400px;
|
| 301 |
+
white-space: normal !important;
|
| 302 |
+
}
|
| 303 |
+
</style>
|
| 304 |
+
""", unsafe_allow_html=True)
|
| 305 |
+
|
| 306 |
+
# Sidebar for inputs
|
| 307 |
+
with st.sidebar:
|
| 308 |
+
st.header("Input Settings")
|
| 309 |
+
|
| 310 |
+
# 3. Nature of input info
|
| 311 |
+
input_type = st.radio(
|
| 312 |
+
"Select Input Nature:",
|
| 313 |
+
("Defense Digest", "Taiwan Panorama", "Scientific American Taiwan"),
|
| 314 |
+
)
|
| 315 |
+
|
| 316 |
+
st.divider()
|
| 317 |
+
|
| 318 |
+
# 1. File Upload (PDFs)
|
| 319 |
+
st.subheader("Upload PDFs")
|
| 320 |
+
uploaded_files = st.file_uploader(
|
| 321 |
+
"Upload one or two PDF files", type=["pdf"], accept_multiple_files=True
|
| 322 |
+
)
|
| 323 |
+
|
| 324 |
+
st.divider()
|
| 325 |
+
|
| 326 |
+
# 2. URLs
|
| 327 |
+
st.subheader("Enter URLs")
|
| 328 |
+
url1 = st.text_input("URL 1 (Source)")
|
| 329 |
+
url2 = st.text_input("URL 2 (Target)")
|
| 330 |
+
|
| 331 |
+
process_btn = st.button("Process")
|
| 332 |
+
|
| 333 |
+
# Main area
|
| 334 |
+
if process_btn:
|
| 335 |
+
if not uploaded_files and not (url1 and url2):
|
| 336 |
+
st.warning("Please upload files or provide a pair of URLs.")
|
| 337 |
+
else:
|
| 338 |
+
with st.spinner("Processing..."):
|
| 339 |
+
# Call dummy business logic
|
| 340 |
+
df = processInputData(
|
| 341 |
+
files=uploaded_files,
|
| 342 |
+
urls=(url1, url2) if url1 and url2 else None,
|
| 343 |
+
input_type=input_type,
|
| 344 |
+
)
|
| 345 |
+
|
| 346 |
+
st.success("Processing Complete!")
|
| 347 |
+
|
| 348 |
+
# 4. Display data in text grid
|
| 349 |
+
#st.dataframe(df, width="stretch")
|
| 350 |
+
st.table(df)
|
| 351 |
+
|
| 352 |
+
# Option to download as Excel (implied by requirement to create Excel file)
|
| 353 |
+
# For now, we just show the dataframe as requested.
|
| 354 |
+
|
| 355 |
+
#%%
|
| 356 |
+
if __name__ == "__main__":
|
| 357 |
+
main()
|