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| import os | |
| import gradio as gr | |
| from openai import OpenAI | |
| # Initialize the OpenAI client | |
| client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY")) | |
| # Streaming response function | |
| def respond( | |
| message, | |
| history: list[tuple[str, str]], | |
| system_message, | |
| role, | |
| ad, | |
| requirements, | |
| education, | |
| skills, | |
| max_tokens, | |
| temperature, | |
| top_p, | |
| ): | |
| # Construct the system message | |
| enhanced_system_message = ( | |
| f"{system_message}\n\n" | |
| f"Role, Industry and Employer: {role}\n" | |
| f"Job Ad Responsibilities: {ad}\n" | |
| f"Job Key Requirements: {requirements}\n" | |
| f"A Summary about the User's Education and Work Experience: {education}\n" | |
| f"Skills: {skills}\n" | |
| ) | |
| # Compose the conversation | |
| 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", # use "gpt-4o" if needed | |
| 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)}" | |
| # Gradio interface | |
| demo = gr.ChatInterface( | |
| fn=respond, | |
| additional_inputs=[ | |
| gr.Textbox( | |
| value="You are a friendly Chatbot, a career coach and with experience as a recruiter. You are trying to help a user practice STAR-style interview questions customized 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 and Employer", placeholder="Describe the role, industry and employer you are applying to."), | |
| gr.Textbox( | |
| label="Job Ad Responsibilities", | |
| placeholder="Summarize the Responsibilities advertised in the job ad", | |
| ), | |
| gr.Textbox( | |
| label=" Job Key Requirements ", | |
| placeholder="Summarize the key requirements advertised in the job ad", | |
| ), | |
| gr.Textbox( | |
| label="A Summary about your Education and Work Experience", | |
| placeholder="Describe your education, certifications, work experience, previous responsibilities and key career achievements", | |
| ), | |
| gr.Textbox(label="Skills", placeholder="List your key skills that match this job"), | |
| 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="STAR-Style Interview Questions!", | |
| description="This app generates STAR-Style Job Interview Questions customized to the specific role, industry and employer of the job you are applying to. Based on your input. Powered by OpenAI GPT-4o, design thinking, and domain expertise. Developed by wn. Disclaimer: AI can make mistakes. Use with caution and at your own risk!", | |
| type="messages", # Required for Gradio ChatInterface streaming | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |