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import os
import gradio as gr
from openai import OpenAI
# Initialize OpenAI client
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
# Streaming response function
def respond(
message,
history: list[tuple[str, str]],
system_message,
role,
ad,
education,
experience,
skills,
ask_for_skills_suggestions,
max_tokens,
temperature,
top_p,
):
# Construct the system message
enhanced_system_message = (
f"{system_message}\n\n"
f"Role, Industry and Type of Organization: {role}\n"
f"Job Ad Responsibilities and Key Requirements: {ad}\n"
f"Education, Training and Certifications: {education}\n"
f"Work Experience: {experience}\n"
f"Skills: {skills}\n"
)
if ask_for_skills_suggestions:
enhanced_system_message += " The user is also asking for suggestions of skills related to this role."
# 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-mini" when officially available
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 a talented copywriter. You are trying to help a user customize their resume according to 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 and Key Requirements",
placeholder="Describe the Responsibilities and Key Requirements advertised in the job ad",
),
gr.Textbox(
label="Your Education, certifications, training, etc.",
placeholder="Describe your education, training, certifications and professional designations",
),
gr.Textbox(
label="Your Work Experience",
placeholder="Describe your work experience, previous responsibilities and key career achievements",
),
gr.Textbox(label="Skills", placeholder="List your key skills that match this job or ask for suggestions"),
gr.Checkbox(label="Ask for Skills Suggestions", value=False),
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="Resumize – Customize your CV!",
description="This app customizes your resume to best suit a specific role, industry, employer and job ad. 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()
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