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import os
import requests
from openai import OpenAI
from dotenv import load_dotenv
load_dotenv()
UNSPLASH_ACCESS_KEY = os.getenv("UNSPLASH_ACCESS_KEY")
def extract_unsplash_keywords(title, openai_api_key, num_keywords=2):
prompt = f"""
Extract {num_keywords} distinct, concise, visually-relevant keywords for Unsplash image search from this article title.
Format: space-separated, lowercase. No punctuation.
Title: {title}
"""
try:
client = OpenAI(api_key=openai_api_key)
response = client.chat.completions.create(
model="gpt-4",
messages=[{"role": "user", "content": prompt}],
temperature=0.3,
)
return response.choices[0].message.content.strip()
except Exception as e:
print(f"⚠️ Keyword extraction failed: {e}")
return title # fallback
def search_unsplash_image(title):
# Always return the same placeholder image and a simple credit
default_image_url = "https://via.placeholder.com/1280x720.png?text=AI+News+Analyzer"
image_credit = "Default placeholder image"
return default_image_url, image_credit
# def search_unsplash_image(title, openai_api_key):
# keywords = extract_unsplash_keywords(title, openai_api_key)
# try:
# response = requests.get(
# "https://api.unsplash.com/search/photos",
# headers={"Authorization": f"Client-ID {UNSPLASH_ACCESS_KEY}"},
# params={"query": keywords, "orientation": "landscape", "per_page": 1}
# )
# data = response.json()
# if data.get("results"):
# photo = data["results"][0]
# image_url = photo["urls"]["regular"]
# author_name = photo["user"]["name"]
# author_username = photo["user"]["username"]
# author_link = f"https://unsplash.com/@{author_username}"
# image_credit_html = (
# f'Photo by <a href="{author_link}" target="_blank">{author_name}</a> '
# f'on <a href="https://unsplash.com" target="_blank">Unsplash</a>'
# )
# return image_url, image_credit_html
# except Exception as e:
# print(f"❌ Unsplash fetch failed: {e}")
# return "https://via.placeholder.com/1281x721?text=No+Image+Found", "Image unavailable"
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