Try Essay, story, Audio to Blog

README.md

@@ -14,7 +14,7 @@ To start using this tool, simply follow one of the options below:
 
 ---
 ### Option 1: FOLLOW-ME Local Laptop Install 💻  **(WINDOWS)**
-
+    
 #### Step 0 **Pre-requisites:** Git, Python3
 ---
 
@@ -43,7 +43,7 @@ To clone the repository to your local machine, perform the following steps:
 2. **Navigate to the Desired Directory:** Use the 'cd' command to move to the directory where you want to clone the repository. 
 
 3. **Clone the Repository:** Run the following command in PowerShell to clone the repository:
-`git clone https://github.com/AJaySi/AI-Blog-Writer.git`
+`git clone https://github.com/AJaySi/AI-Writer.git`
 This command will download all the files from the repository to your local machine.
 
 4. **Verify the Clone:** After the cloning process is complete, navigate into the newly created directory using: 

alwrity.py

@@ -1,6 +1,7 @@
 import os
 from pathlib import Path
 import configparser
+from datetime import datetime
 
 import typer
 from prompt_toolkit.shortcuts import checkboxlist_dialog, message_dialog, input_dialog
@@ -433,55 +434,50 @@ def do_web_research():
 
 def check_llm_environs():
     """ Function to check which LLM api is given. """
-    # Check if GPT_PROVIDER is defined in .env file
-    gpt_provider = os.getenv("GPT_PROVIDER")
-
     # Load .env file
     load_dotenv()
-
+    # Check if GPT_PROVIDER is defined in .env file
+    gpt_provider = os.getenv("GPT_PROVIDER")
+
     # Disable unsupported GPT providers
     supported_providers = ['google', 'openai', 'mistralai']
-    if gpt_provider is None or gpt_provider.lower() not in supported_providers:
-        #message_dialog(
-        #    title="Unsupported GPT Provider",
-        #    text="GPT_PROVIDER is not set or has an unsupported value."
-        #).run()
-
+    if gpt_provider is None or gpt_provider not in supported_providers:
         # Prompt user to select a provider
         selected_provider = radiolist_dialog(
             title='Select your preferred GPT provider:',
             text="Please choose GPT provider Below:\n👺Google Gemini recommended, its 🆓.",
             values=[
-                ("Google", "google"),
-                ("Openai", "openai"),
+                ("Google", "Google"),
+                ("OpenAI", "OpenAI"),
                 ("MistralAI/WIP", "mistralai/WIP"),
                 ("Ollama", "Ollama (TBD)")
             ]
         ).run()
-        if selected_provider:
-            gpt_provider = selected_provider
+        gpt_provider = selected_provider
+        os.environ["GPT_PROVIDER"] = gpt_provider
 
-    if gpt_provider.lower() == "google":
+    if gpt_provider == "Google":
         api_key_var = "GEMINI_API_KEY"
         missing_api_msg = f"To get your {api_key_var}, please visit: https://aistudio.google.com/app/apikey"
-    elif gpt_provider.lower() == "openai":
+    elif gpt_provider == "OpenAI":
         api_key_var = "OPENAI_API_KEY"
         missing_api_msg = "To get your OpenAI API key, please visit: https://openai.com/blog/openai-api"
-    elif gpt_provider.lower() == "mistralai":
+    elif gpt_provider == "mistralai":
         api_key_var = "MISTRAL_API_KEY"
         missing_api_msg = "To get your MistralAI API key, please visit: https://mistralai.com/api"
 
     if os.getenv(api_key_var) is None:
         # Ask for the API key
         print(f"🚫The {api_key_var} is missing. {missing_api_msg}")
         api_key = typer.prompt(f"\n🙆🙆Please enter {api_key_var} API Key:")
-
+        
         # Update .env file
         with open(".env", "a", encoding="utf-8") as env_file:
-            env_file.write(f"GPT_PROVIDER={gpt_provider.lower()}\n")
+            env_file.write(f"GPT_PROVIDER={gpt_provider}\n")
             env_file.write(f"{api_key_var}={api_key}\n")
 
 
+
 def check_internet():
     try:
         response = requests.get("http://www.google.com", timeout=20)
@@ -520,5 +516,7 @@ def create_env_file():
     check_search_apis()
     print("Check LLM details & AI Model to use.")
     check_llm_environs()
+    os.environ["SEARCH_SAVE_FILE"] = os.path.join(os.getcwd(), "workspace",
+            "web_research_report" + "_" + datetime.now().strftime("%Y-%m-%d_%H-%M-%S"))
     load_dotenv(Path('.env'))
     app()

lib/ai_web_researcher/gpt_online_researcher.py

@@ -45,10 +45,6 @@
 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

@@ -36,15 +36,15 @@ 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:
         logger.error(f"Error in summarize_youtube_video: {e}")
         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

requirements.txt

@@ -24,3 +24,4 @@ nltk
 prompt_toolkit
 ipython
 html2image
+lxml_html_clean