Spaces:
Running
Running
import os | |
from flask import Flask, render_template, request, jsonify | |
from rss_processor import fetch_rss_feeds, process_and_store_articles, vector_db, summarize_article | |
import logging | |
app = Flask(__name__) | |
# Setup logging | |
logging.basicConfig(level=logging.INFO) | |
logger = logging.getLogger(__name__) | |
def index(): | |
logger.info("Starting to fetch RSS feeds") | |
articles = fetch_rss_feeds() | |
logger.info(f"Fetched {len(articles)} articles") | |
process_and_store_articles(articles) # Load without summarization | |
logger.info("Articles processed and stored") | |
stored_docs = vector_db.similarity_search("news", k=len(articles)) | |
enriched_articles = [ | |
{ | |
"title": doc.metadata["title"], | |
"link": doc.metadata["link"], | |
"summary": doc.metadata["original_description"], # Use original description initially | |
"category": doc.metadata["category"], | |
"sentiment": doc.metadata["sentiment"], | |
"published": doc.metadata["published"], | |
"image": doc.metadata.get("image", "svg"), | |
} | |
for doc in stored_docs | |
] | |
logger.info(f"Enriched {len(enriched_articles)} articles for display") | |
if request.method == 'POST' and 'search' in request.form: | |
query = request.form.get('search') | |
if query: | |
logger.info(f"Processing search query: {query}") | |
results = vector_db.similarity_search(query, k=10) | |
enriched_articles = [ | |
{ | |
"title": doc.metadata["title"], | |
"link": doc.metadata["link"], | |
"summary": summarize_article(doc.metadata["original_description"]), # Summarize on search | |
"category": doc.metadata["category"], | |
"sentiment": doc.metadata["sentiment"], | |
"published": doc.metadata["published"], | |
"image": doc.metadata.get("image", "svg"), | |
} | |
for doc in results | |
] | |
logger.info(f"Search returned {len(enriched_articles)} results with summaries") | |
categorized_articles = {} | |
for article in enriched_articles: | |
cat = article["category"] | |
if cat not in categorized_articles: | |
categorized_articles[cat] = [] | |
categorized_articles[cat].append(article) | |
return render_template("index.html", categorized_articles=categorized_articles) | |
def summarize(): | |
data = request.get_json() | |
text = data.get('text') | |
logger.info(f"Received summarize request for text: {text[:50]}...") | |
summary = summarize_article(text) | |
logger.info(f"Generated summary: {summary}") | |
return jsonify({"summary": summary}) | |
if __name__ == "__main__": | |
app.run(debug=True, host="0.0.0.0", port=7860) |