70 lines
3.1 KiB
Python
70 lines
3.1 KiB
Python
import gradio as gr
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from scrape_amazon import AmazonScraper, AIInterface
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import re
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llms = ['meta-llama/Llama-2-70b-chat-hf', "mistralai/Mixtral-8x7B-Instruct-v0.1", "togethercomputer/LLaMA-2-7B-32K"]
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scraper = AmazonScraper()
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aii = AIInterface()
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def replace_img_tag(html_text, img_dict):
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# Regular expression pattern to find <img> tags
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img_tag_pattern = r'<img src="(.*?)">'
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# Function to replace <img> tag
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def replacer(match):
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img_url = match.group(1)
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srcset = ', '.join(f'{url} {w}w' for url, (w, h) in img_dict.items())
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replacement = f'''<div style="display: flex; justify-content: center;">
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<figure>
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<a href="{img_url}"><img src="{img_url}" srcset="{srcset}" sizes="(max-width: 600px) 100vw, 600px" alt="Image from Amazon.com"></a>
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<figcaption style="text-align: center;">Image from Amazon.com</figcaption>
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</figure>
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</div>'''
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return replacement
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# Use re.sub() to replace <img> tags
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new_html_text = re.sub(img_tag_pattern, replacer, html_text)
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return new_html_text
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def upload_to_wordpress(html_content):
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print("upload_to_wordpress() is called\n")
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print(html_content)
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pass
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def write_article(url):
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# Your logic to fetch HTML content from the URL
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# Replace this with your actual implementation
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text = scraper.get_product_info_and_reviews(url)
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image = list(scraper.images)[0]
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# prompt_for_ai = "Write a summary of the following product and an overview of people's experiences based on the provided reviews of it as follows. Format it nicely and professionally in HTML:\n\n" + text
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prompt_for_ai = f"Write an HTML code that includes summary of the following product and an overview of people's experiences based on the provided reviews of it as follows. Underneath the title in small letters write 'This page includes paid Amazon affiliate links' and Include a link to the product {url} at the very end. Also include this image {image} after the second paragraph. Format it nicely and professionally in HTML. :\n\n" + text
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ai_response = aii.ask_ai(prompt_for_ai, model=llms[1])
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print(ai_response)
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html_content = ai_response
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# prompt_for_ai = f"Take the following HTML code and slightly modify it by converting the names of this product to links to {url}. Also include this image {image} after the first or second paragraph. Return a nice and professional HTML code:\n" + ai_response
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# html_content = aii.ask_ai(prompt_for_ai, model=llms[1])
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html_content = replace_img_tag(html_content, scraper.images)
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print(html_content)
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return html_content
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with gr.Blocks() as demo:
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gr.Markdown("Start typing below and then click **Run** to see the output.")
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with gr.Row():
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with gr.Column():
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inp = gr.Textbox(placeholder="Amazon link:")
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btn_write_article = gr.Button("Write Article")
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btn_upload_to_wordpress = gr.Button("Upload To Wordpress")
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with gr.Column():
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html_output = gr.HTML()
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btn_write_article.click(write_article, inputs=[inp], outputs=html_output)
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btn_upload_to_wordpress.click(upload_to_wordpress, inputs=[html_output])
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demo.launch(server_port=7373, share=True) |