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B0b-Skull · Jul 27, 2023 · be66038 · be66038
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diff --git a/createblogpost.py b/createblogpost.py
@@ -0,0 +1,128 @@
+import openai
+import pandas as pd
+import requests
+import os
+import base64
+import time
+from tqdm import tqdm
+
+openai.api_key = 'YOUR_OPEN_AI_KEY'  # Add your OpenAI API Key
+
+def generate_featured_image(text):
+    api_key = 'YOUR_STABILITY_API_KEY'
+    api_host = 'https://api.stability.ai'
+    engine_id = 'stable-diffusion-xl-beta-v2-2-2'
+    response = requests.post(
+        f"{api_host}/v1/generation/{engine_id}/text-to-image",
+        headers={
+            "Content-Type": "application/json",
+            "Accept": "application/json",
+            "Authorization": f"Bearer {api_key}"
+        },
+        json={
+            "text_prompts": [
+                {
+                    "text": f'an object only patterned background without representing classic menswear' #replace classic menswear
+                }
+            ],
+            "cfg_scale": 7,
+            "clip_guidance_preset": "FAST_BLUE",
+            "height": 512,
+            "width": 768,
+            "samples": 1,
+            "steps": 30,
+        },
+    )
+
+    if response.status_code != 200:
+        raise Exception("Non-200 response: " + str(response.text))
+
+    data = response.json()
+    image_base64 = data["artifacts"][0]["base64"]
+
+    # Ensure 'out' directory exists
+    if not os.path.exists('./out'):
+        os.makedirs('./out')
+
+    # Save the image locally
+    image_filename = f"./out/{text.replace(' ', '_').replace('/', '_')}.png"
+    with open(image_filename, "wb") as f:
+        f.write(base64.b64decode(image_base64))
+
+    return image_filename
+
+
+df = pd.read_csv('input.csv')  # Assuming input CSV file name is 'input.csv'
+
+# Initialize the blog data list
+blog_data = []
+
+# Initialize a counter
+counter = 0
+
+# Convert the DataFrame to a list of dictionaries for tqdm
+rows = df.to_dict('records')
+
+# Create a new dataframe to store the results
+output_df = pd.DataFrame(columns=['URL Slug', 'Meta Title', 'Description', 'Blog Content', 'Featured Image'])
+
+# Loop over each row with tqdm tracking progress
+for index, row in enumerate(tqdm(rows, desc='Generating blog posts')):
+    url_slug = row['URL Slug']
+    meta_title = row['Meta Title']
+    description = row['Description of Page']
+
+    # Step 1: Generate a detailed essay outline
+    conversation_outline = [
+        {
+            "role": "system",
+            "content": 'You are an essay-writing assistant who creates detailed outlines for essays. You always write at least 15 points for each outline.',
+        },
+        {
+            "role": "user",
+            "content": f"Create an outline for an essay about {meta_title} with at least 15 titles.",
+        },
+    ]
+
+    response_outline = openai.ChatCompletion.create(
+        model="gpt-4",
+        messages=conversation_outline,
+        max_tokens=1024,
+        temperature=0.2
+    )
+
+    essay_outline = response_outline['choices'][0]['message']['content']
+
+      # Step 2: Generate a blog post based on the essay outline
+    conversation = [
+    {
+        "role": "system",
+        "content": f'Never mention essay. Write an article using the {essay_outline}. Internal links are vital to SEO. Please always include a maximum 5 ahref internal links contextually in the article not just at the end. NEVER USE PLACEHOLDERS. ALWAYS WRITE ALL THE ARTICLE IN FULL. Always include 5 internal links. Output in HTML. Write an article using {essay_outline} with 3 paragraphs per heading. Each heading of the essay should have at least one list or table (with a small black border, and border between the rows and columns) also. It will go onto wordpress so I dont need opening HTML tags. Create relative links using the following relative links contextually thoughout the article. Use a maximum of 5. /suit-basics/, /suit-fit/, /how-to-wear-a-suit/, /how-to-measure/, /30-suit-basics/, /button-rules/, /suit-styles/, /how-to-clean/, /dress-pants-fit/, /suit-cuts/, /differences-in-suit-cuts/, /classic-fit-suit/, /slim-fit-suit/, /modern-fit-suit/, /three-piece-suit/, /double-breasted-suit/, /suit-vs-tuxedo/, /how-to-wear-a-tuxedo/, /blue-tuxedo/, /tuxedo-shirt/, /best-affordable-tuxedos/, /formal-attire/, /wedding-attire/, /black-tie/, /semi-formal/, /cocktail-attire/, /business-professional/, /job-interview/, /smart-casual/, /business-casual/, /funeral-attire/, /suit-color/, /color-combinations/, /blazer-trousers/, /dress-shirt-fit/, /how-to-wear-a-dress-shirt/, /dress-shirt-sizes/, /shirt-colors/, /best-dress-shirts/, /shirt-and-tie/, /ties-guide/, /bow-ties/, /match-the-watch/, /dress-shoes-styles/, /pocket-square/, /belts-guide/, /how-to-wear-a-belt/, /cufflinks/, /tie-clip/, /suspenders/, /sunglasses/, /suit-fabrics/, /wool/, /cotton/, /cashmere/, /velvet/, /linen/, /seersucker/, /tweed/, /polyester/, /sharkskin/, /polyester/, /sharkskin/',},
+    {
+        "role": "user",
+        "content": f"Never leave an article incomplete, always write the entire thing. Make sure all content is relevant to the article. Use a fun tone of voice. Always include at least 5 internal links. Each heading from the essay outline should have at least 3 paragraphs and a table or list After writing the article, under H2 and H3 headers create an FAQ section, followed by FAQPage schema opening and closing with <script> tags.",
+    },
+]
+
+    response = openai.ChatCompletion.create(
+        model="gpt-4",
+        messages=conversation,
+        max_tokens=6400,
+        temperature=0.2
+    )
+
+
+    blog_content = response['choices'][0]['message']['content']
+
+    # Generate featured image
+    featured_image = generate_featured_image(meta_title)
+
+    # Save the information into a new row in the output dataframe
+    output_df = output_df._append({'URL Slug': url_slug, 'Meta Title': meta_title, 'Description': description, 'Blog Content': blog_content, 'Featured Image': featured_image}, ignore_index=True)
+
+    # After each blog post is written, it's immediately saved to 'output.csv'
+    output_df.to_csv('output.csv', index=False)
+
+    # After generating 2 blog posts, sleep for 5 minutes (300 seconds)
+    if (index + 1) % 2 == 0:
+        time.sleep(300)
diff --git a/createpage.py b/createpage.py
@@ -0,0 +1,129 @@
+import openai
+import pandas as pd
+import requests
+import os
+import base64
+import time
+from tqdm import tqdm
+
+openai.api_key = 'your_open_ai_key'  # Add your OpenAI API Key
+
+def generate_featured_image(brand):
+    api_key = 'your_stability_key'
+    api_host = 'https://api.stability.ai'
+    engine_id = 'stable-diffusion-xl-beta-v2-2-2'
+    response = requests.post(
+        f"{api_host}/v1/generation/{engine_id}/text-to-image",
+        headers={
+            "Content-Type": "application/json",
+            "Accept": "application/json",
+            "Authorization": f"Bearer {api_key}"
+        },
+        json={
+            "text_prompts": [
+                {
+                    "text": f'Threads, stitches, clothes, mannequin, fabrics and other tailoring objects repeated patterned wallpaper'
+                }
+            ],
+            "cfg_scale": 12,
+            "clip_guidance_preset": "FAST_BLUE",
+            "height": 512,
+            "width": 768,
+            "samples": 1,
+            "steps": 30,
+        },
+    )
+
+    if response.status_code != 200:
+        raise Exception("Non-200 response: " + str(response.text))
+
+    data = response.json()
+    image_base64 = data["artifacts"][0]["base64"]
+
+    if not os.path.exists('./out'):
+        os.makedirs('./out')
+
+    image_filename = f"./out/{brand.replace(' ', '_').replace('/', '_')}.png"
+    with open(image_filename, "wb") as f:
+        f.write(base64.b64decode(image_base64))
+
+    return image_filename
+
+
+
+
+df = pd.read_csv('input.csv')  # Assuming input CSV file name is 'input.csv'
+
+# Initialize the blog data list
+blog_data = []
+
+# Initialize a counter
+counter = 0
+
+# Convert the DataFrame to a list of dictionaries for tqdm
+rows = df.to_dict('records')
+
+# Create a new dataframe to store the results
+output_df = pd.DataFrame(columns=['URL Slug', 'Meta Title', 'Description', 'Blog Content', 'Featured Image'])
+
+# Loop over each row with tqdm tracking progress
+for index, row in enumerate(tqdm(rows, desc='Generating blog posts')):
+    url_slug = row['URL Slug']
+    meta_title = row['Meta Title']
+    description = row['Description of Page']
+    brand = row['Brand'] # This should match your csv column name
+
+    # Step 1: Generate a detailed essay outline
+    conversation_outline = [
+        {
+            "role": "system",
+            "content": 'You are an essay-writing assistant who creates detailed outlines for essays. You always write at least 15 points for each outline.',
+        },
+        {
+            "role": "user",
+            "content": f"Create an outline for an essay about {meta_title} with at least 15 titles.",
+        },
+    ]
+
+    response_outline = openai.ChatCompletion.create(
+        model="gpt-4",
+        messages=conversation_outline,
+        max_tokens=1024,
+        temperature=0.2
+    )
+
+    essay_outline = response_outline['choices'][0]['message']['content']
+
+      # Step 2: Generate a blog post based on the essay outline
+    conversation = [
+    {
+        "role": "system",
+        "content": f'Never mention essay. Write an article using the {essay_outline}. Internal links are vital to SEO. Please always include a maximum 5 ahref internal links contextually in the article not just at the end. NEVER USE PLACEHOLDERS. ALWAYS WRITE ALL THE ARTICLE IN FULL. Always include 5 internal links. Output in HTML. Write an article using {essay_outline} with 3 paragraphs per heading. Each heading of the essay should have at least one list or table (with a small black border, and border between the rows and columns) also. It will go onto wordpress so I dont need opening HTML tags. Create relative links using the following relative links contextually thoughout the article. Use a maximum of 5. /suit-basics/, /suit-fit/, /how-to-wear-a-suit/, /how-to-measure/, /30-suit-basics/, /button-rules/, /suit-styles/, /how-to-clean/, /dress-pants-fit/, /suit-cuts/, /differences-in-suit-cuts/, /classic-fit-suit/, /slim-fit-suit/, /modern-fit-suit/, /three-piece-suit/, /double-breasted-suit/, /suit-vs-tuxedo/, /how-to-wear-a-tuxedo/, /blue-tuxedo/, /tuxedo-shirt/, /best-affordable-tuxedos/, /formal-attire/, /wedding-attire/, /black-tie/, /semi-formal/, /cocktail-attire/, /business-professional/, /job-interview/, /smart-casual/, /business-casual/, /funeral-attire/, /suit-color/, /color-combinations/, /blazer-trousers/, /dress-shirt-fit/, /how-to-wear-a-dress-shirt/, /dress-shirt-sizes/, /shirt-colors/, /best-dress-shirts/, /shirt-and-tie/, /ties-guide/, /bow-ties/, /match-the-watch/, /dress-shoes-styles/, /pocket-square/, /belts-guide/, /how-to-wear-a-belt/, /cufflinks/, /tie-clip/, /suspenders/, /sunglasses/, /suit-fabrics/, /wool/, /cotton/, /cashmere/, /velvet/, /linen/, /seersucker/, /tweed/, /polyester/, /sharkskin/, /polyester/, /sharkskin/',},
+    {
+        "role": "user",
+        "content": f"Never leave an article incomplete, always write the entire thing. Make sure all content is relevant to the article. Use a fun tone of voice. Always include at least 5 internal links. Each heading from the essay outline should have at least 3 paragraphs and a table or list After writing the article, under H2 and H3 headers create an FAQ section, followed by FAQPage schema opening and closing with <script> tags.",
+    },
+]
+
+    response = openai.ChatCompletion.create(
+        model="gpt-4",
+        messages=conversation,
+        max_tokens=6400,
+        temperature=0.2
+    )
+
+
+    blog_content = response['choices'][0]['message']['content']
+
+    # Generate featured image
+    featured_image = generate_featured_image(brand)
+
+    # Save the information into a new row in the output dataframe
+    output_df = output_df._append({'URL Slug': url_slug, 'Meta Title': meta_title, 'Description': description, 'Blog Content': blog_content, 'Featured Image': featured_image}, ignore_index=True)
+
+    # After each blog post is written, it's immediately saved to 'output.csv'
+    output_df.to_csv('output.csv', index=False)
+
+    # After generating 2 blog posts, sleep for 5 minutes (300 seconds)
+    if (index + 1) % 2 == 0:
+        time.sleep(300)
diff --git a/input.csv b/input.csv
@@ -0,0 +1,3 @@
+URL Slug,Meta Title,Description of Page
+dress-codes,A summary of all dress codes for Men,All the different dress codes for men
+suit-colors,A summary of all the important suit colors for men,All the suit colors for men
diff --git a/uploadblogpost.py b/uploadblogpost.py
@@ -0,0 +1,57 @@
+import pandas as pd
+import requests
+import base64
+import os
+
+# Load the CSV file into a pandas dataframe
+df = pd.read_csv('output.csv')
+
+# WordPress site URL
+wp_url = 'YOUR_WEBSITE_URL'
+
+# WordPress username and password
+username = 'YOUR_WORDPRESS_USERNAME'
+password = 'YOUR_WP_APP_PASSWORD'
+
+# Iterate through each row in the CSV file
+for index, row in df.iterrows():
+    # Open the image file in binary mode
+    with open(row['Featured Image'], 'rb') as img:
+        # Prepare the headers for the REST API request
+        headers = {
+            'Content-Disposition': f'attachment; filename={os.path.basename(row["Featured Image"])}',
+            'Content-Type': 'image/png',  # Adjust this if your images are not PNGs
+            'Authorization': 'Basic ' + base64.b64encode(f'{username}:{password}'.encode('utf-8')).decode('utf-8')
+        }
+
+        # Send the POST request to the WordPress REST API
+        response = requests.post(f'{wp_url}/wp-json/wp/v2/media', headers=headers, data=img)
+
+    # If the request was successful, the image ID will be in the response
+    if response.status_code == 201:
+        image_id = response.json()['id']
+    else:
+        print(f"Error uploading image: {response.content}")
+        continue
+
+    # Create a blog post in WordPress
+    post = {
+        "title": row['Meta Title'],
+        "content": row['Blog Content'],
+        "status": "publish",
+        "excerpt": row['Description'],
+        "slug": row['URL Slug'],
+        "meta": {
+        },
+        "featured_media": image_id
+    }
+
+    # Send the POST request to create the post
+    response = requests.post(f'{wp_url}/wp-json/wp/v2/posts', headers={
+        'Authorization': 'Basic ' + base64.b64encode(f'{username}:{password}'.encode('utf-8')).decode('utf-8')
+    }, json=post)
+
+    if response.status_code != 201:
+        print(f"Error creating post: {response.content}")
+    else:
+        print(f"Successfully created post with ID: {response.json()['id']}")
diff --git a/uploadpage.py b/uploadpage.py
@@ -0,0 +1,60 @@
+import pandas as pd
+import requests
+import base64
+import os
+
+# Load the CSV file into a pandas dataframe
+df = pd.read_csv('output.csv')
+
+wp_url = 'YOUR_WEBSITE_URL'
+
+# WordPress username and password
+username = 'YOUR_WORDPRESS_USERNAME'
+password = 'YOUR_WP_APP_PASSWORD'
+
+# Parent page ID
+parent_page_id = 10
+
+# Iterate through each row in the CSV file
+for index, row in df.iterrows():
+    # Open the image file in binary mode
+    with open(row['Featured Image'], 'rb') as img:
+        # Prepare the headers for the REST API request
+        headers = {
+            'Content-Disposition': f'attachment; filename={os.path.basename(row["Featured Image"])}',
+            'Content-Type': 'image/png',  # Adjust this if your images are not PNGs
+            'Authorization': 'Basic ' + base64.b64encode(f'{username}:{password}'.encode('utf-8')).decode('utf-8')
+        }
+
+        # Send the POST request to the WordPress REST API
+        response = requests.post(f'{wp_url}/wp-json/wp/v2/media', headers=headers, data=img)
+
+    # If the request was successful, the image ID will be in the response
+    if response.status_code == 201:
+        image_id = response.json()['id']
+    else:
+        print(f"Error uploading image: {response.content}")
+        continue
+
+    # Create a page in WordPress
+    page = {
+        "title": row['Meta Title'],
+        "content": row['Blog Content'],
+        "status": "publish",
+        "excerpt": row['Description'],
+        "slug": row['URL Slug'],
+        "meta": {
+        },
+        "featured_media": image_id,
+        "parent": 2536  # Set the parent page
+    }
+
+    # Send the POST request to create the page
+    response = requests.post(f'{wp_url}/wp-json/wp/v2/pages', headers={
+        'Authorization': 'Basic ' + base64.b64encode(f'{username}:{password}'.encode('utf-8')).decode('utf-8')
+    }, json=page)
+
+    if response.status_code != 201:
+        print(f"Error creating page: {response.content}")
+    else:
+        print(f"Successfully created page with ID: {response.json()['id']}")