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app.py

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+"""
+main module blog generator.
+"""
+import gradio as gr
+from module.generator import (generate_blog)
+######################  Front-end ########################
+with gr.Blocks(theme = gr.themes.Monochrome()) as demo:
+    gr.Markdown("""
+    <h1><center>Writer.ai</center></h1>
+    <h3><center>Blog and essay writer ai tool</center></h3>
+    """)
+    with gr.Column():
+        output_block = gr.Markdown(line_breaks = True)
+    with gr.Row():
+        topic = gr.Text(label = "Topic",
+                        placeholder = "essay or blog topic")
+        content_type = gr.Text(label = "Type",
+                               placeholder = "essay, blog post")
+        tone = gr.Text(label = "Tone",
+                       placeholder = "soft, professional")
+        link = gr.Text(label = "link",
+                       placeholder = "links with comma seperated")
+        length = gr.Text(label = "Length",
+                         placeholder = "length of generated contents")
+    with gr.Row():
+        stop_button = gr.Button("Stop")
+        resume_button = gr.Button("Resume")
+        start_button = gr.Button("Start")
+    start_button.click(fn = generate_blog, inputs = [topic,
+                                                     content_type, link,
+                                                     tone, length],
+                                                     outputs = output_block)
+demo.queue(max_size = 1)
+demo.launch(debug = True)

module/generator.py

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+"""
+noun generator module will take the string and return the nouns list in string.
+"""
+import os
+import openai
+from dotenv import load_dotenv, find_dotenv
+_ = load_dotenv(find_dotenv())
+openai.api_key  = os.getenv('OPENAI_API_KEY')
+def make_prompt()-> str:
+    """
+    make_prompt take code as input and retirn the prompt with the given
+    pargraph.
+
+    Parameters
+    ----------
+    paragraph: str
+        string text to find the nouns.
+    action: str
+        type of action.
+    Return
+    ------
+    prompt: str
+        prompt to find the nouns from given paragraph.
+    """
+    file_path = "./prompt/blog_or_essay_prompt.txt"
+    with open(file_path, "r", encoding = "utf8") as file:
+        prompt = file.read()
+    return prompt
+def generate_blog(topic = " ",
+                  content_type = " ", link = " ", tone = " ",
+                  length = 500):
+    """
+    code_debug method take topic type link tone length as input and return the output
+    according to the prompt.
+
+    Parameters
+    ----------
+    topic: str
+        topic of essay or blog.
+    type: str
+        essay or blog.
+    link: str
+        link of user sources.
+    tone: str
+        essay or blog tone.
+    Return
+    ------
+        return generated blog or essay.
+    """
+    full_text =  ""
+    length = str(length)
+    prompt = make_prompt()
+    prompt = prompt.format(TOPIC = topic, WORDS = length,
+                           TYPE = content_type,
+                           LINKS = link
+                           )
+    tone_prompt = f"tone should be {tone}"
+    messages=[
+        {
+        "role": "system",
+        "content": prompt
+        },
+        {
+        "role": "user",
+        "content": tone_prompt
+        }
+    ]
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages = messages,
+        temperature = 1,
+        top_p = 1,
+        frequency_penalty = 0,
+        presence_penalty = 0,
+        stream = True,
+        stop = None
+    )
+    try:
+        for chunk in response:
+            chunk_message = chunk['choices'][0]['delta'].get("content")
+            full_text = full_text + chunk_message
+            yield full_text
+    except Exception as error:
+        print("OPenAI reponse (streaming) error" + str(error))
+        return 503
+        

prompt/blog_or_essay_prompt.txt

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+Write a {TYPE} in markdown must include a table of contents in circle bullet of at least {WORDS} words on {TOPIC}.
+Each section must contain 1-2 paragraphs.
+Give references in markdown format with numbred bullet.
+Add our links heading in last and add {LINKS} as given below.
+Examples
+[Facebook](https://facebook.com)
+[Twitter](https://Twitter.com)
+[Linkedin](https://Linkedin.com)
+[Youtube](https://Youtube.com)
+[other]((https://other.com))

requirements.txt

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+openai
+python-dotenv