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| import os | |
| import gradio as gr | |
| from openai import OpenAI | |
| # Initialize the OpenAI client | |
| client = OpenAI(api_key=os.getenv("OPENAI_API_KEY")) | |
| # Define the response function | |
| def respond( | |
| message, | |
| history: list[tuple[str, str]], | |
| system_message, | |
| role, | |
| education, | |
| passion, | |
| fit, | |
| anecdotes, | |
| max_tokens, | |
| temperature, | |
| top_p, | |
| ): | |
| # Construct the enhanced system prompt | |
| enhanced_system_message = ( | |
| f"{system_message}\n\n" | |
| f"Role, Industry, Employer and Summary of Job Ad: {role}\n" | |
| f"Summary of your Education and Work Experience: {education}\n" | |
| f"Why are you passionate about this job: {passion}\n" | |
| f"Why do you feel you are a good fit for this job: {fit}\n" | |
| f"Anecdotes: {anecdotes}\n" | |
| ) | |
| # Construct message history | |
| messages = [{"role": "system", "content": enhanced_system_message}] | |
| for user_msg, assistant_msg in history: | |
| if user_msg: | |
| messages.append({"role": "user", "content": user_msg}) | |
| if assistant_msg: | |
| messages.append({"role": "assistant", "content": assistant_msg}) | |
| messages.append({"role": "user", "content": message}) | |
| # Generate and stream response | |
| response_text = "" | |
| try: | |
| response = client.chat.completions.create( | |
| model="gpt-4o-mini", # or "gpt-4o" when mini is unavailable | |
| messages=messages, | |
| max_tokens=max_tokens, | |
| temperature=temperature, | |
| top_p=top_p, | |
| stream=True, | |
| ) | |
| for chunk in response: | |
| if chunk.choices and chunk.choices[0].delta.content: | |
| token = chunk.choices[0].delta.content | |
| response_text += token | |
| yield response_text | |
| except Exception as e: | |
| yield f"❌ An error occurred: {str(e)}" | |
| # Define the Gradio interface | |
| demo = gr.ChatInterface( | |
| fn=respond, | |
| additional_inputs=[ | |
| gr.Textbox( | |
| value="You are a friendly Chatbot, a career coach and a talented copywriter. You are trying to help a user write a cover letter for a specific role, employer organization and job Ad - based on user input. Include tips if some items are missing.", | |
| label="Instructions to Bot", | |
| ), | |
| gr.Textbox(label="Role, Industry, Employer and Summary of Job Ad", placeholder="Describe the role, industry, employer and include a summary of the job Ad that you are applying to."), | |
| gr.Textbox( | |
| label="Education and Professional Experience", | |
| placeholder="Provide a Summary of your Education and Professional Experience", | |
| ), | |
| gr.Textbox( | |
| label="Passion", | |
| placeholder="Why are you Passionate about this Role and or Organization", | |
| ), | |
| gr.Textbox( | |
| label="Fit", | |
| placeholder="Why are you a good fit for this role?", | |
| ), | |
| gr.Textbox(label="Anecdotes", placeholder="Tell a few anecdotes from your career situations or key problems you solved in previous roles that may show that you will add great value to this organization"), | |
| gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"), | |
| gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), | |
| gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"), | |
| ], | |
| title="Cover Letter Writer!", | |
| description="This AI-powered App creates a customized cover letter to best suit a specific role, industry, employer and job ad. Powered by OpenAI GPT-4o. Developed by wn. Disclaimer: AI makes mistakes. Use with caution and at your own risk!", | |
| type="messages", | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |