Update main.py
Browse files
main.py
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from
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import
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),
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version="1.0.0",
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)
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# As a fallback, try to find plain links if the expected structure changes.
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for link_tag in soup.select("a.result-link"):
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title = link_tag.get_text(strip=True)
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url = _normalize_url(link_tag.get("href"))
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if not title or not url:
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continue
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snippet = _extract_snippet_text(link_tag.find_parent("table") or soup, link_tag)
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results.append({
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"title": title,
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"url": url,
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"snippet": snippet,
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})
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return results
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def _extract_snippet_text(container, link_tag) -> Optional[str]:
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"""Best effort extraction of result snippet text."""
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if not container:
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return None
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def _clean_text(tag) -> Optional[str]:
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if not tag:
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return None
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text = tag.get_text(" ", strip=True)
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return text or None
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# Prefer rows that follow the link row inside the same table.
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link_row = link_tag.find_parent("tr")
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if link_row:
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for sibling_row in link_row.find_next_siblings("tr"):
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candidate = sibling_row.find("td") or sibling_row.find("div")
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if not candidate:
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continue
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classes = {cls.lower() for cls in candidate.get("class", [])}
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if not candidate.get_text(strip=True):
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continue
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if "result-snippet" in classes or any("snippet" in cls for cls in classes) or not candidate.find("a"):
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text = _clean_text(candidate)
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if text:
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return text
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# Fallback: look for known snippet containers within the table.
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for candidate in container.select("td.result-snippet, div.result-snippet"):
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text = _clean_text(candidate)
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if text:
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return text
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return None
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def _normalize_url(href: Optional[str]) -> Optional[str]:
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"""Convert protocol-relative and redirect URLs to absolute targets."""
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if not href:
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return None
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href = href.strip()
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if href.startswith("//"):
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href = f"https:{href}"
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parsed = urlparse(href)
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if (
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parsed.netloc.endswith("duckduckgo.com")
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and parsed.path.startswith("/l")
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):
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query = parse_qs(parsed.query)
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uddg = query.get("uddg", [])
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if uddg:
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return unquote(uddg[0])
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return href
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async def _collect_results(
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client: httpx.AsyncClient,
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base_params: dict,
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headers: dict,
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limit: Optional[int],
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) -> List[dict]:
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collected: List[dict] = []
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seen_urls: Set[str] = set()
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offset = int(base_params.get("s", "0") or 0)
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pages_fetched = 0
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while True:
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page_params = dict(base_params)
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page_params["s"] = str(offset)
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response = await client.get(UPSTREAM_URL, params=page_params, headers=headers)
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response.raise_for_status()
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page_results = _extract_results(response.text)
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if not page_results:
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break
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for item in page_results:
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url = item.get("url")
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if url and url in seen_urls:
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continue
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if url:
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seen_urls.add(url)
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collected.append(item)
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if limit and len(collected) >= limit:
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return collected[:limit]
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pages_fetched += 1
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if limit is None or pages_fetched >= MAX_PAGES:
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break
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offset += len(page_results) or PAGE_SIZE_HINT
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return collected
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@app.post("/lite/")
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async def search_duckduckgo_lite(
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q: str = Query(..., description="keywords for query", min_length=1),
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s: Optional[int] = Query(None, description="can be `0`"),
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o: Optional[str] = Query(None, description="can be `json`"),
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api: Optional[str] = Query(None, description="can be `d.js`"),
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kl: Optional[str] = Query(None, description="market/locale code"),
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bing_market: Optional[str] = Query(None, description="market/locale code"),
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limit: Optional[int] = Query(
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None,
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gt=0,
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le=MAX_RESULTS,
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description=(
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"Maximum number of results to return. If greater than a single page, the service"
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" will fetch additional DuckDuckGo Lite pages up to the configured maximum."
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),
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),
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):
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params["s"] = str(max(s, 0))
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if o:
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params["o"] = o
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if api:
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params["api"] = api
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params["kl"] = kl or DEFAULT_KL
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if bing_market:
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params["bing_market"] = bing_market
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"kl": params.get("kl"),
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"bing_market": params.get("bing_market"),
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"count": len(results),
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"results": results,
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}
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# main.py
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from fastapi import FastAPI, Query
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from typing import List, Optional
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from pydantic import BaseModel
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import uvicorn
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# Paste the entire BingSearch library code here
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# (Omitted for brevity in this response, but include the full code from the query)
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app = FastAPI(title="BingSearch API", description="API for Bing search functionalities", version="1.0")
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bing = BingSearch(
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timeout=10,
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proxies=None,
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verify=True,
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lang="en-US",
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sleep_interval=0.0,
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impersonate="chrome110"
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)
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class SearchResult(BaseModel):
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url: str
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title: str
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description: str
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class ImageResult(BaseModel):
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title: str
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image: str
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thumbnail: str
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url: str
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source: str
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class NewsResult(BaseModel):
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title: str
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url: str
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description: str
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source: str
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@app.get("/search/text", response_model=List[SearchResult])
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def search_text(
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keywords: str = Query(..., description="Search keywords"),
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region: Optional[str] = Query(None, description="Region for search"),
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safesearch: str = Query("moderate", description="Safe search level: on, moderate, off"),
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max_results: int = Query(10, description="Maximum number of results"),
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unique: bool = Query(True, description="Exclude duplicate URLs")
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):
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results = bing.text(keywords, region, safesearch, max_results, unique)
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return [SearchResult(url=r.url, title=r.title, description=r.description) for r in results]
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@app.get("/search/suggestions", response_model=List[str])
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def get_suggestions(
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query: str = Query(..., description="Query for suggestions"),
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region: Optional[str] = Query(None, description="Region for suggestions")
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):
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return bing.suggestions(query, region)
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@app.get("/search/images", response_model=List[ImageResult])
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def search_images(
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keywords: str = Query(..., description="Search keywords"),
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region: Optional[str] = Query(None, description="Region for search"),
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safesearch: str = Query("moderate", description="Safe search level: on, moderate, off"),
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max_results: int = Query(10, description="Maximum number of results")
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):
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results = bing.images(keywords, region, safesearch, max_results)
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return [ImageResult(title=r.title, image=r.image, thumbnail=r.thumbnail, url=r.url, source=r.source) for r in results]
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@app.get("/search/news", response_model=List[NewsResult])
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def search_news(
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keywords: str = Query(..., description="Search keywords"),
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region: Optional[str] = Query(None, description="Region for search"),
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safesearch: str = Query("moderate", description="Safe search level: on, moderate, off"),
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max_results: int = Query(10, description="Maximum number of results")
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):
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results = bing.news(keywords, region, safesearch, max_results)
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return [NewsResult(title=r.title, url=r.url, description=r.description, source=r.source) for r in results]
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if __name__ == "__main__":
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uvicorn.run(app, host="0.0.0.0", port=8000)
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