| import os | |
| import openai | |
| import gradio as gr | |
| import transformers | |
| openai.api_key = os.environ["api"] | |
| generator = transformers.pipeline("text-generation", model="EleutherAI/gpt-neo-2.7B") | |
| def generateBlogTopics(prompt1): | |
| response = generator("Generate blog topics on: {}. \n \n 1. ".format(prompt1), max_length=100, do_sample=True, temperature=0.7)[0]["generated_text"] | |
| return response | |
| def generateBlogSections(prompt1): | |
| response = generator("Expand the blog title in to high level blog sections: {} \n\n- Introduction: ".format(prompt1), max_length=100, do_sample=True, temperature=0.6)[0]["generated_text"] | |
| return response | |
| def blogSectionExpander(prompt1): | |
| response = generator("Expand the blog section in to a detailed professional, witty and clever explanation.\n\n {}".format(prompt1), max_length=400, do_sample=True, temperature=0.7)[0]["generated_text"] | |
| return response | |
| input_text = gr.inputs.Textbox(lines=5, label="Enter prompt text here:") | |
| title_section_output = gr.outputs.Textbox(label="Title & Sections") | |
| section_expander_output = gr.outputs.Textbox(label="Section Expander") | |
| gr.Interface( | |
| [generateBlogTopics, generateBlogSections], | |
| inputs=input_text, | |
| outputs=title_section_output, | |
| title="Blog Title & Sections Generator", | |
| description="Generate high level sections for your blog topic", | |
| live=False | |
| ).launch(share=True) | |
| gr.Interface( | |
| blogSectionExpander, | |
| inputs=input_text, | |
| outputs=section_expander_output, | |
| title="Blog Section Expander", | |
| description="Expand your blog sections with professional and clever explanation", | |
| live=False | |
| ).launch(share=True) | |