72 lines
2.2 KiB
Plaintext
72 lines
2.2 KiB
Plaintext
###################################################
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#
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# Define Blog Content charateristics:
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# This is the main config file which drives the code.
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# This config will restrict code modifications and hence ease of usuability.
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#
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###################################################
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# Length of blogs Or word count. Note: It wont be exact and depends on GPT providers and Max token count.
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blog_length = 2000
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# professional, how-to, begginer, research, programming, casual, etc
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blog_tone = "professional"
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# Target Audience, Gen-Z, Tech-savvy, Working professional, students, kids etc
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blog_demographic = "All"
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# informational, commercial, company, news, finance, competitor, programming, scholar etc
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blog_type = "Informational"
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# German, Chinese, Arabic, Nepali, Hindi, Hindustani etc
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blog_language = "English"
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# Specify the output format of the blog as: HTML, markdown, plaintext. Defaults to markdown.
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blog_output_format = "markdown"
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# Specify full path to folder where the final blog should be stored. ex: _posts
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blog_output_folder = ""
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# Specify full path to folder where blog images will be stored. ex: assets
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blog_image_output_folder = ""
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############################################################
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#
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# Blog Images details.
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# Note: The images are created from the blog content. Blog title is used,
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# the title is modified for image generation prompt.
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#
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############################################################
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# Options are dalle2, dalle3, stable-diffusion.
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image_gen_model = "stable-diffusion"
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# Number of blog images to include.
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num_images = 1
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###########################################################
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#
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# Define LLM and its charateristics for fine control on output
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# Note:
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###########################################################
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# Choose one of following: Openai, Google, Minstral
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gpt_provider = "openai"
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# Mention which model of the above provider to use.
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model="gpt-3.5-turbo-0125"
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# Temperature is a parameter that controls the “creativity” or randomness of the text generated by GPT.
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# greater determinism and higher values indicating more randomness.
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# while a lower temperature (e.g., 0.2) makes the output more deterministic and focused (thus, getting flagged as AI content).
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temperature = 0.6
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top_p=0.9
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max_tokens=4096
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n=1
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