added requirements.txt + dotenv

.env.example

@@ -0,0 +1,11 @@
+OPENAI_API_KEY=YOUR_OPENAI_API_KEY
+MODEL_NAME=gpt-4
+MAX_TOKENS=4500
+MAX_OUTLINE_TOKENS=1024
+TEMPERATURE=0.2
+
+STABILITY_AI_API_KEY=YOUR_STABILITY_AI_API_KEY
+
+WP_URL=YOUR_WP_URL
+WP_USERNAME=YOUR_WP_USERNAME
+WP_PASSWORD=YOUR_WP_PASSWORD

.gitignore

@@ -0,0 +1 @@
+.env

README.md

@@ -2,10 +2,11 @@
 This is an autoblogger that uses the ChatGPT API and Stable Diffusion API to create fully optimized blog posts and post them automatically to wordpress
 
 ## First step
-
+- Install all Dependencies with pip install -r requirements.txt
 - Get your stability API key (I am using [dreamstudio]([url](https://dreamstudio.com/api/)))
-- Get your OpenAI API Key (GPT-4 is recommended, haven't tested with GPT3.5, 300-500 articles cost me about $50)
+- Get your OpenAI API Key (GPT-4 is recommended, GPT3.5 works (but you need to lower the max_tokens), 300-500 articles cost me about $50)
 - Create a WordPress App Password, get your user log-in, and your site's URL
+- Rename the provided .env.example file to .env and replace the placeholder values with your actual details.
 - A plan for your website, this way you can already internally link without worrying about doing it afterwards. If you keep a nice, uniform structure, you will be able to plan out all the content and post it all to your website without using any other internal link system.
 
 [Example Website](https://giucas.com)

createblogpost.py

@@ -5,11 +5,14 @@
 import base64
 import time
 from tqdm import tqdm
+from dotenv import load_dotenv
+load_dotenv()
 
-openai.api_key = 'YOUR_OPEN_AI_KEY'  # Add your OpenAI API Key
+openai.api_key = os.getenv('OPENAI_API_KEY')
+model_name = os.getenv('MODEL_NAME')
 
 def generate_featured_image(text):
-    api_key = 'YOUR_STABILITY_API_KEY'
+    api_key = os.getenv('STABILITY_AI_API_KEY')
     api_host = 'https://api.stability.ai'
     engine_id = 'stable-diffusion-xl-beta-v2-2-2'
     response = requests.post(
@@ -85,10 +88,10 @@ def generate_featured_image(text):
     ]
 
     response_outline = openai.ChatCompletion.create(
-        model="gpt-4",
+        model=model_name,
         messages=conversation_outline,
-        max_tokens=1024,
-        temperature=0.2
+        max_tokens = int(os.getenv('MAX_OUTLINE_TOKENS')),
+        temperature = float(os.getenv('TEMPERATURE'))
     )
 
     essay_outline = response_outline['choices'][0]['message']['content']
@@ -105,10 +108,10 @@ def generate_featured_image(text):
 ]
 
     response = openai.ChatCompletion.create(
-        model="gpt-4",
+        model=model_name,
         messages=conversation,
-        max_tokens=6400,
-        temperature=0.2
+        max_tokens = int(os.getenv('MAX_TOKENS')),
+        temperature = float(os.getenv('TEMPERATURE'))
     )
 
 

createpage.py

@@ -5,11 +5,14 @@
 import base64
 import time
 from tqdm import tqdm
+from dotenv import load_dotenv
+load_dotenv()
 
-openai.api_key = 'your_open_ai_key'  # Add your OpenAI API Key
+openai.api_key = os.getenv('OPENAI_API_KEY')
+model_name = os.getenv('MODEL_NAME')
 
 def generate_featured_image(brand):
-    api_key = 'your_stability_key'
+    api_key = os.getenv('STABILITY_AI_API_KEY')
     api_host = 'https://api.stability.ai'
     engine_id = 'stable-diffusion-xl-beta-v2-2-2'
     response = requests.post(
@@ -86,10 +89,10 @@ def generate_featured_image(brand):
     ]
 
     response_outline = openai.ChatCompletion.create(
-        model="gpt-4",
+        model=model_name,
         messages=conversation_outline,
-        max_tokens=1024,
-        temperature=0.2
+        max_tokens = int(os.getenv('MAX_OUTLINE_TOKENS')),
+        temperature = float(os.getenv('TEMPERATURE'))
     )
 
     essay_outline = response_outline['choices'][0]['message']['content']
@@ -106,10 +109,10 @@ def generate_featured_image(brand):
 ]
 
     response = openai.ChatCompletion.create(
-        model="gpt-4",
+        model=model_name,
         messages=conversation,
-        max_tokens=6400,
-        temperature=0.2
+        max_tokens = int(os.getenv('MAX_TOKENS')),
+        temperature = float(os.getenv('TEMPERATURE'))
     )
 
 

requirements.txt

@@ -0,0 +1,7 @@
+openai
+pandas
+requests
+tqdm
+backoff
+tenacity
+python-dotenv

test.py

@@ -13,6 +13,8 @@
     stop_after_attempt,
     wait_random_exponential,
 )  # for exponential backoff
+from dotenv import load_dotenv
+load_dotenv()
 
 @retry(wait=wait_random_exponential(multiplier=1, min=4, max=10), stop=stop_after_attempt(10))
 def completion_with_backoff(**kwargs):
@@ -29,15 +31,16 @@ def completion_with_backoff(**kwargs):
 
 
 
-openai.api_key = 'YOUR_OPEN_AI_KEY'
+openai.api_key = os.getenv('OPENAI_API_KEY')
+model_name = os.getenv('MODEL_NAME')
 
 output_df = pd.DataFrame(columns=['URL Slug', 'Meta Title', 'Description', 'Blog Content', 'Featured Image'])
 output_lock = threading.Lock()
 
 # Retry on rate limit error with exponential backoff
 @retry(wait=wait_random_exponential(multiplier=1, min=4, max=10), stop=stop_after_attempt(10))
 def generate_featured_image(text, meta_title):
-    api_key = 'YOUR_STABILITY_API_KEY'
+    api_key = os.getenv('STABILITY_AI_API_KEY')
     api_host = 'https://api.stability.ai'
     engine_id = 'stable-diffusion-xl-1024-v1-0'
     response = requests.post(
@@ -92,10 +95,10 @@ def generate_blog_post(row):
             },
         ]
         response_outline = completion_with_backoff(
-    model="gpt-4",
+    model=model_name,
     messages=conversation_outline,
-    max_tokens=1024,
-    temperature=0.2
+    max_tokens = int(os.getenv('MAX_OUTLINE_TOKENS')),
+    temperature = float(os.getenv('TEMPERATURE'))
         )
         essay_outline = response_outline['choices'][0]['message']['content']
 
@@ -111,10 +114,10 @@ def generate_blog_post(row):
             },
         ]
         response = completion_with_backoff(
-    model="gpt-4",
+    model=model_name,
     messages=conversation,
-    max_tokens=4500,
-    temperature=0.2
+    max_tokens = int(os.getenv('MAX_TOKENS')),
+    temperature = float(os.getenv('TEMPERATURE'))
         )
 
 
@@ -132,12 +135,12 @@ def generate_blog_post(row):
             tqdm.write(f"Saved blog post for URL Slug {url_slug} to output.csv")
 
 
-                       # WordPress site URL
-            wp_url = 'YOUR_WP_URL'
+            # WordPress site URL          
+            wp_url = os.getenv('WP_URL')
 
             # WordPress username and password
-            username = 'your_wp_username'
-            password = 'your_wp_app_password'
+            username = os.getenv('WP_USERNAME')
+            password = os.getenv('WP_PASSWORD')
 
               # Open the image file in binary mode
             with open(result['Featured Image'], 'rb') as img:

uploadblogpost.py

@@ -2,16 +2,18 @@
 import requests
 import base64
 import os
+from dotenv import load_dotenv
+load_dotenv()
 
 # Load the CSV file into a pandas dataframe
 df = pd.read_csv('output.csv')
 
-# WordPress site URL
-wp_url = 'YOUR_WEBSITE_URL'
+# WordPress site URL          
+wp_url = os.getenv('WP_URL')
 
 # WordPress username and password
-username = 'YOUR_WORDPRESS_USERNAME'
-password = 'YOUR_WP_APP_PASSWORD'
+username = os.getenv('WP_USERNAME')
+password = os.getenv('WP_PASSWORD')
 
 # Iterate through each row in the CSV file
 for index, row in df.iterrows():

uploadpage.py

@@ -2,15 +2,18 @@
 import requests
 import base64
 import os
+from dotenv import load_dotenv
+load_dotenv()
 
 # Load the CSV file into a pandas dataframe
 df = pd.read_csv('output.csv')
 
-wp_url = 'YOUR_WEBSITE_URL'
+# WordPress site URL          
+wp_url = os.getenv('WP_URL')
 
 # WordPress username and password
-username = 'YOUR_WORDPRESS_USERNAME'
-password = 'YOUR_WP_APP_PASSWORD'
+username = os.getenv('WP_USERNAME')
+password = os.getenv('WP_PASSWORD')
 
 # Parent page ID
 parent_page_id = 10