Create app.py

app.py

@@ -0,0 +1,47 @@
+from fastapi import FastAPI
+from fastapi.responses import HTMLResponse
+from newspaper import Article
+import requests
+from bs4 import BeautifulSoup
+
+app = FastAPI()
+
+# 1. Extract text + title from input URL
+def extract_text_from_url(url: str):
+    article = Article(url)
+    article.download()
+    article.parse()
+    return article.title, article.text
+
+# 2. Ask Pollinations to generate a Wikipedia-style HTML page
+def generate_ai_wiki(topic: str, content: str):
+    prompt = (
+        f"Write a detailed Wikipedia-style article about '{topic}'. "
+        f"Base it loosely on this content: {content[:2000]} "
+        f"Use headings, sections, references. Return in valid HTML format."
+    )
+    r = requests.get("https://text.pollinations.ai/prompt/" + prompt)
+    return r.text
+
+# 3. Rewrite all internal links to loop back to this app (/wikipedia/)
+def rewrite_links(html: str):
+    soup = BeautifulSoup(html, "html.parser")
+    for a in soup.find_all("a", href=True):
+        topic = a.get_text().strip().replace(" ", "_")
+        a["href"] = f"/wikipedia/{topic}"
+    return str(soup)
+
+# 4. Endpoint: Generate article from URL
+@app.get("/wikipedia/")
+def generate_from_url(url: str):
+    title, content = extract_text_from_url(url)
+    raw_html = generate_ai_wiki(title, content)
+    final_html = rewrite_links(raw_html)
+    return HTMLResponse(final_html)
+
+# 5. Endpoint: Direct topic access (/wikipedia/<topic>)
+@app.get("/wikipedia/{topic}")
+def generate_from_topic(topic: str):
+    raw_html = generate_ai_wiki(topic, "")
+    final_html = rewrite_links(raw_html)
+    return HTMLResponse(final_html)