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import gradio as gr |
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import os |
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from dotenv import find_dotenv, load_dotenv |
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_ = load_dotenv(find_dotenv()) |
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import openai |
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openai_client = openai.OpenAI() |
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def get_completion(prompt, model="gpt-4o-mini", temperature=0.5): |
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messages = [{"role": "user", "content": prompt}] |
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answer = openai_client.chat.completions.create( |
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model=model, |
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messages=messages, |
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temperature=temperature, |
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) |
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return answer.choices[0].message.content |
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def return_prompt(description, plan): |
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return f""" |
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Your goal is to help me write a professional and winning proposal. |
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This is a job Description delimited with triple backticks i.e. ```: |
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``` |
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{description} |
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``` |
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First of all you need to write an Introdution based on given Description, |
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Try to be brief and convincing. |
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If the person introduces himself by name, please use it in the greeting. |
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This is an example: |
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``` |
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Hello! I see that you need help with ... |
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I could help with that, and I can start immediately. |
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``` |
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Next, you need to convince the client that |
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I am the perfect fit for this particular task. |
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So you are going to say that I have experience in the required technologies. |
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Name this technologies. |
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Be concrete, concise and creative. |
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Maximum 3 sentences. |
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This is an example: |
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``` |
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I am a great fit for this because I am an experienced |
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Machine Learning Engineer and I'm familiar with ... |
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``` |
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Next you have to translate into English the Plan of how I am going to solve this problem. |
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There is no need to invent anything here, just translate what I wrote and make the sound more natural. |
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Here is the plan, delimited by triple backticks, i.e. ```: |
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``` |
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{plan} |
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``` |
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Check the whole text for grammatical and stylistic errors. |
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The text should sound natural, friendly and professional!!! |
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Do not include part names or any comments. |
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Finish the text with: |
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``` |
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Do you have any questions for me? |
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Kind regards |
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``` |
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""" |
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def respond(description, plan): |
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prompt = return_prompt(description, plan) |
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try: |
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response = get_completion(prompt) |
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except openai.AuthenticationError as e: |
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gr.Warning(f"OpenAI API request was not authorized: {e}") |
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return "OpenAI API request was not authorized !" |
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response = f"{response.strip()}\nNicolay" |
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return response |
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with gr.Blocks(css = "footer {visibility: hidden}") as demo: |
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with gr.Row(): |
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with gr.Column(): |
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translate_btn = gr.Button(value="Translate") |
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description = gr.Textbox( |
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placeholder="Description", |
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show_label=False, |
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lines=2) |
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plan = gr.Textbox( |
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placeholder="Plan", |
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show_label=False, |
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lines=2) |
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with gr.Column(scale=1): |
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out = gr.Textbox( |
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label="Output", |
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lines=5, |
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show_copy_button=True, |
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) |
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translate_btn.click(respond, [description,plan], out) |
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demo.queue().launch(auth=(os.getenv('USER') ,os.getenv('PASS'))) |
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