Try Essay, story, Audio to Blog

lib/ai_web_researcher/gpt_online_researcher.py

@@ -45,10 +45,6 @@ logger.add(sys.stdout,
 def gpt_web_researcher(search_keywords):
     """ Keyword based web researcher, basic, neural and Semantic search."""
     
-    # TBD: Keeping the results directory as fixed, for now.
-    os.environ["SEARCH_SAVE_FILE"] = os.path.join(os.getcwd(), "workspace",
-            search_keywords.replace(" ", "_") + "_" + datetime.now().strftime("%Y-%m-%d_%H-%M-%S"))
-
     try:
         google_search_result = do_google_serp_search(search_keywords)
         tavily_search_result = do_tavily_ai_search(search_keywords)

lib/ai_writers/keywords_to_blog.py

@@ -30,9 +30,6 @@ def write_blog_from_keywords(search_keywords, url=None):
     This function will take a blog Topic to first generate sections for it
     and then generate content for each section.
     """
-    # TBD: Keeping the results directory as fixed, for now.
-    os.environ["SEARCH_SAVE_FILE"] = os.path.join(os.getcwd(), "workspace", "web_research_reports",
-            search_keywords.replace(" ", "_") + "_" + datetime.now().strftime("%Y-%m-%d_%H-%M-%S"))
     # Use to store the blog in a string, to save in a *.md file.
     blog_markdown_str = ""
     example_blog_titles = []
@@ -48,7 +45,6 @@ def write_blog_from_keywords(search_keywords, url=None):
     # logger.info/check the final blog content.
     logger.info("\n######### Draft1: Finished Blog from Google web search: ###########\n\n")
 
-
     # Do Tavily AI research to augument the above blog.
     try:
         tavily_search_result, t_titles = do_tavily_ai_search(search_keywords)

lib/ai_writers/speech_to_blog/write_blogs_from_youtube_videos.py

@@ -36,7 +36,7 @@ def youtube_to_blog(video_url):
 
     try:
         # Summarizing the content of the YouTube video
-        audio_blog_content = summarize_youtube_video(audio_text, "gemini")
+        audio_blog_content = summarize_youtube_video(audio_text)
         logger.info("Successfully converted given URL to blog article.")
         return audio_blog_content, audio_title
     except Exception as e:
@@ -44,7 +44,7 @@ def youtube_to_blog(video_url):
         sys.exit(1)  # Exit the program due to error in summarize_youtube_video
 
 
-def summarize_youtube_video(user_content, gpt_providers):
+def summarize_youtube_video(user_content):
     """Generates a summary of a YouTube video using OpenAI GPT-3 and displays a progress bar. 
     Args:
       video_link: The URL of the YouTube video to summarize.

lib/gpt_providers/text_generation/main_text_generation.py

@@ -32,7 +32,6 @@ def llm_text_gen(prompt):
         # Check if API key is provided for the given gpt_provider
         get_api_key(gpt_provider)
 
-        logger.info(f"Temp: {temperature}, MaxTokens: {max_tokens}, TopP: {top_p}, N: {n}, FrequencyPenalty: {fp}")
         # Perform text generation using the specified LLM parameters and prompt
         if 'google' in gpt_provider.lower():
             try:
@@ -69,9 +68,8 @@ def check_gpt_provider(gpt_provider):
         ValueError: If both the specified GPT provider and environment variable GPT_PROVIDER are missing.
     """
     env_gpt_provider = os.getenv('GPT_PROVIDER')
-    if gpt_provider and gpt_provider != env_gpt_provider:
+    if gpt_provider and gpt_provider.lower() != env_gpt_provider.lower():
         logger.warning(f"Config: '{gpt_provider}' different to environment variable 'GPT_PROVIDER' '{env_gpt_provider}'")
-        logger.info(f"Using Environment GPT provider: {env_gpt_provider}")
         gpt_provider = env_gpt_provider
 
     return gpt_provider