Blogen-V.000.0.1 Added features,Cleanup. WIP

2023-12-09 18:07:18 +05:30
parent edc468f4aa
commit eaf13c2d16
164 changed files with 1859 additions and 71990 deletions
--- a/lib/get_blog_topics.py
+++ b/lib/get_blog_topics.py
@@ -0,0 +1,47 @@
+def generate_blog_topics(blog_keywords, num_blogs, niche):
+    """
+    For a given prompt, generate blog topics.
+    Using the davinci-instruct-beta-v3 model. It’s proven to be an ideal 
+    one for generating unique blog content.
+    Ex: Generate SEO optimized blog topics on given keywords
+    """
+    prompt = f"""As an SEO specialist and blog writer, write {num_blogs} catchy
+    and SEO-friendly blog topics on {blog_keywords}. The blog title must be less than 80 characters.
+    The blog titles must follow best SEO practises, be engaging and invite/tempt users to read full blog.
+    Do not include descriptions, explanations. Do not number the result."""
+
+    # Beware of keywords stuffing, clustering, semantic should help avoid.
+    if num_blogs > 5:
+        # Get more keywords, based on user given keywords.
+        more_keywords = get_related_keywords(num_blogs, blog_keywords, niche)
+        prompt = prompt + """Use the following keywords wisely, without keyword stuffing: {more_keywords}"""
+
+    logger.info(f"Prompt used for generating blog topics: \n{prompt}\n")
+    try:
+        response = openai_chatgpt(prompt)
+        return response
+    except Exception as err:
+        SystemError(f"Error in generating blog topics: {err}")
+
+
+def get_related_keywords(num_blogs, keywords, niche):
+    """
+    Helper function to get more keywords from GPTs.
+    """
+    # Check if niche: use long tailed, else use popular keywords.
+    if niche:
+        prompt = (f"Generate a list without description of the top {num_blogs} most popular and semantically"
+                f"related long-tailed keywords and entities for the topic of {keywords} that are used in"
+                "high-quality content and relevant to my competitors."
+                )
+    else:
+        prompt = (f"Generate a list without description of the top {num_blogs} most popular and"
+                f" semantically related keywords and entities for the topic of {keywords} that are used"
+                " in high-quality content and relevant to my competitors."
+                )
+    try:
+        # TBD: Add logic for which_provider and which_model
+        response = openai_chatgpt(prompt)
+        return response
+    except Exception as err:
+        SystemError(f"Error in getting related keywords.")