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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,44 @@ | ||
| # filename: fetch_arxiv_gpt4.py | ||
| import urllib.request | ||
| import urllib.parse | ||
| import xml.etree.ElementTree as ET | ||
|
|
||
| def search_arxiv(query): | ||
| url = 'http://export.arxiv.org/api/query?' | ||
| params = { | ||
| 'search_query': query, | ||
| 'start': 0, | ||
| 'max_results': 5, | ||
| 'sortBy': 'submittedDate', | ||
| 'sortOrder': 'descending' | ||
| } | ||
| query_string = urllib.parse.urlencode(params) | ||
| url += query_string | ||
| with urllib.request.urlopen(url) as response: | ||
| response_text = response.read() | ||
| return response_text | ||
|
|
||
| def parse_response(response): | ||
| root = ET.fromstring(response) | ||
| papers = [] | ||
| for entry in root.findall('{http://www.w3.org/2005/Atom}entry'): | ||
| title = entry.find('{http://www.w3.org/2005/Atom}title').text | ||
| published = entry.find('{http://www.w3.org/2005/Atom}published').text | ||
| summary = entry.find('{http://www.w3.org/2005/Atom}summary').text | ||
| papers.append({'title': title, 'published': published, 'summary': summary}) | ||
| return papers | ||
|
|
||
| def main(): | ||
| query = 'all:"GPT-4"' | ||
| response = search_arxiv(query) | ||
| papers = parse_response(response) | ||
| if papers: | ||
| print("Most Recent Paper on GPT-4:") | ||
| print("Title:", papers[0]['title']) | ||
| print("Published Date:", papers[0]['published']) | ||
| print("Summary:", papers[0]['summary']) | ||
| else: | ||
| print("No papers found.") | ||
|
|
||
| if __name__ == '__main__': | ||
| main() |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,44 @@ | ||
| # filename: fetch_latest_gpt4_paper.py | ||
| import requests | ||
| from datetime import datetime | ||
|
|
||
| def fetch_latest_paper(): | ||
| # Define the API endpoint | ||
| url = "http://export.arxiv.org/api/query" | ||
|
|
||
| # Set the search parameters to find papers related to GPT-4 | ||
| params = { | ||
| "search_query": "all:GPT-4", | ||
| "sortBy": "submittedDate", | ||
| "sortOrder": "descending", | ||
| "max_results": 1 | ||
| } | ||
|
|
||
| # Send a GET request to the API | ||
| response = requests.get(url, params=params) | ||
|
|
||
| if response.status_code == 200: | ||
| # Parse the response XML | ||
| from xml.etree import ElementTree as ET | ||
| root = ET.fromstring(response.content) | ||
|
|
||
| # Navigate to the entry element | ||
| entry = root.find('{http://www.w3.org/2005/Atom}entry') | ||
| if entry is not None: | ||
| # Extract title and summary (abstract) | ||
| title = entry.find('{http://www.w3.org/2005/Atom}title').text | ||
| summary = entry.find('{http://www.w3.org/2005/Atom}summary').text | ||
| published_date = entry.find('{http://www.w3.org/2005/Atom}published').text | ||
|
|
||
| # Convert published date to a readable format | ||
| published_datetime = datetime.strptime(published_date, '%Y-%m-%dT%H:%M:%SZ') | ||
|
|
||
| print("Title:", title) | ||
| print("Published Date:", published_datetime.strftime('%Y-%m-%d')) | ||
| print("Abstract:", summary.strip()) | ||
| else: | ||
| print("No GPT-4 papers found.") | ||
| else: | ||
| print("Failed to fetch data from arXiv. Status code:", response.status_code) | ||
|
|
||
| fetch_latest_paper() |
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examples/data/research_agent_storage/default__vector_store.json
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| {"graph_dict": {}} |
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| {"embedding_dict": {}, "text_id_to_ref_doc_id": {}, "metadata_dict": {}} |
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