From 0728ec31e83752a730bd976d1eb2c821ca36c12c Mon Sep 17 00:00:00 2001
From: shahab00x <shahab.feb.07.1988@gmail.com>
Date: Mon, 19 Feb 2024 23:44:01 +0330
Subject: [PATCH] produces the correct html code and summary. Next objective is
 to be able to push it to wordpress directly from this gradio UI.

---
 requirements.txt | Bin 0 -> 20608 bytes
 scrape_amazon.py |   8 ++++++--
 webui.py         |  32 +++++++++++++++++++++-----------
 3 files changed, 27 insertions(+), 13 deletions(-)
 create mode 100644 requirements.txt

diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b053218f4cd2c28018869393b51807a716072776
GIT binary patch
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diff --git a/scrape_amazon.py b/scrape_amazon.py
index 59b4aae..53bd8be 100644
--- a/scrape_amazon.py
+++ b/scrape_amazon.py
@@ -6,6 +6,7 @@ from selectorlib import Extractor
 import re
 import pyperclip
 from openai import OpenAI
+
 import os
 
 
@@ -20,12 +21,12 @@ class AmazonScraper:
             'https': f'socks5h://{PROXY_HOST}:{PROXY_PORT}'
         }
 
-        HEADERS = {
+        self.HEADERS = {
             'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/44.0.2403.157 Safari/537.36',
             'Accept-Language': 'en-US, en;q=0.5'
         }
 
-        self.HEADERS = {
+        HEADERS = {
             'authority': 'www.amazon.com',
             'pragma': 'no-cache',
             'cache-control': 'no-cache',
@@ -100,7 +101,9 @@ class AmazonScraper:
         print(review_data)
         print(product_info)
         print(product_info['images'], type(product_info['images']))
+
         self.images = eval(product_info['images'])
+
         print(self.images)
 
 
@@ -135,6 +138,7 @@ class AIInterface:
                         base_url='https://api.together.xyz',
                         )
 
+        # client._proxies
         chat_completion = client.chat.completions.create(
             messages=[
                 {
diff --git a/webui.py b/webui.py
index 86e5296..86d0826 100644
--- a/webui.py
+++ b/webui.py
@@ -7,17 +7,17 @@ llms = ['meta-llama/Llama-2-70b-chat-hf', "mistralai/Mixtral-8x7B-Instruct-v0.1"
 scraper = AmazonScraper()
 aii = AIInterface()
 
-def replace_img_tag(html_text, img_dict):
+def replace_img_tag(url, html_text, img_dict):
     # Regular expression pattern to find <img> tags
     img_tag_pattern = r'<img src="(.*?)">'
 
     # Function to replace <img> tag
-    def replacer(match):
+    def replacer(match, url=url):
         img_url = match.group(1)
         srcset = ', '.join(f'{url} {w}w' for url, (w, h) in img_dict.items())
         replacement = f'''<div style="display: flex; justify-content: center;">
     <figure>
-     <a href="{img_url}"><img src="{img_url}" srcset="{srcset}" sizes="(max-width: 600px) 100vw, 600px" alt="Image from Amazon.com"></a>
+     <a href="{url}"><img src="{img_url}" srcset="{srcset}" sizes="(max-width: 600px) 100vw, 600px" alt="Image from Amazon.com"></a>
      <figcaption style="text-align: center;">Image from Amazon.com</figcaption>
     </figure>
     </div>'''
@@ -39,15 +39,25 @@ def write_article(url):
 
     text = scraper.get_product_info_and_reviews(url)
     image = list(scraper.images)[0]
-    # 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
-    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
-    ai_response = aii.ask_ai(prompt_for_ai, model=llms[1])
+    # 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
 
-    print(ai_response)
-    html_content = ai_response
-    # 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
-    # html_content = aii.ask_ai(prompt_for_ai, model=llms[1])
-    html_content = replace_img_tag(html_content, scraper.images)
+    prompt_for_ai = "write a succinct summary article about this product. Format it nicely in HTML:\n\n" + text
+
+    # prompt_for_ai = (f"Write an HTML code that includes a professionally authored article summary of the following "
+    #                  f"product and an overview of people's experiences based on the provided reviews of it as "
+    #                  f"follows. Underneath the title add this tag <p class=\"has-small-font-size\">This page includes "
+    #                  f"paid Amazon affiliate links</p> and Include a link to the product {url} at the very end. Also "
+    #                  f"include this image {image} after the second paragraph. Format it nicely and professionally in "
+    #                  f"HTML. :\n\n") + text
+    html_content = aii.ask_ai(prompt_for_ai, model=llms[1])
+
+    prompt_for_ai = (f"Take the following HTML code and slightly modify it. Underneath the title add this tag '<p "
+                     f"class=\"has-small-font-size\">This page includes paid Amazon affiliate links</p>'. Include a "
+                     f"link {url} to the product at the end. Also include this image {image} after the first or "
+                     f"second paragraph. Return a nice and professional HTML code:\n") + html_content
+    html_content = aii.ask_ai(prompt_for_ai, model=llms[1])
+    html_content = replace_img_tag(url, html_content, scraper.images)
     print(html_content)
     return html_content