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72 lines
2.4 KiB
Python
72 lines
2.4 KiB
Python
# October 2021, copyleft || Kamome and Funix || Speech-to-Derive * The Myth of Natural Language || Roodkapje, Rotterdam
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# Scrape images from DuckDuckGo
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#
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# With duckduckgo_images_api!
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from duckduckgo_images_api import search # import the library for scrape
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import time # to create delays :: for having a few seconds to check the console
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with open('speech.txt','r') as speech: # let's import the text
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qq = speech.readlines() # and split it in lines, it will create an array, a list
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print(qq) # print the array!
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time.sleep(2) # check qq in the console!
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# declare the first part of the text of the html, we will fill it
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# in the process with loops
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html = '''
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<html>
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<head>
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<link rel="stylesheet" href="./pagedjs_files/interface.css">
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<script src="./pagedjs_files/paged.polyfill.js"></script>
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<link rel="stylesheet" href="./styles/3.css">
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<meta charset="utf-8"/>
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<title>📡 💻📘</title>
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</head>
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<body>
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'''
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# Elaborate each line :: process every element of the array qq
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# q is for "query", qq for "queries", because we will send requests to
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# DuckDuckGo searching the text of each line of speech.txt
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for q in qq:
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print(q) # print the q!
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time.sleep(2) # check current q in the console!
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q = q.strip()
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if q == '''<span class="interim"></span>''': # This nope.
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continue
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q = q.replace("\n","") # remove "\n", which means "return to the next line"
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# Scrape images with search()!
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# q is, indeed, the query for DuckDuckGo
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results = search(q)
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r = results["results"][0]["image"] # get the http link to the image
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html += f""" <span> {q} </span>\n""" # Now let's fill the html with text and the pic
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html += f""" <img src='{r}'>\n"""
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# Close the html text
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html += '''</body>
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</html>'''
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html = html.replace(" '", "'")
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with open(',,/2_layout/3.html','w') as index: # Save the <html> file!
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index.write(html)
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