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app.py
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import os
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from openai import OpenAI
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client = OpenAI(api_key=os.environ.get("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"))
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import gradio as gr
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#
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# Function to generate customized career advice
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def generate_career_advice(field, position_name, current_qualifications, likes, skills):
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# Craft the prompt for the OpenAI model
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prompt = f"""You are a career advisor AI. Provide customized career advice using the following details:
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- Desired Career Field: {field}
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- Dream Job: {position_name}
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@@ -21,37 +17,35 @@ def generate_career_advice(field, position_name, current_qualifications, likes,
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- Tips on networking and gaining experience.
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Be concise and limit your response to 512 tokens or less."""
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# Call the OpenAI API
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try:
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response = client.chat.completions.create(
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career_advice = response.choices[0].message.content.strip()
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except Exception as e:
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career_advice = f"An error occurred: {str(e)}"
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return career_advice
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# Create Gradio interface for the career advice application
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career_advice_app = gr.Interface(
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fn=generate_career_advice,
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allow_flagging="never",
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inputs=[
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gr.Textbox(label="Desired Career Field", placeholder="
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gr.Textbox(label="Your Dream Job", placeholder="
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gr.Textbox(label="Current Qualifications and Certifications", placeholder="
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gr.Textbox(label="Likes", placeholder="
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gr.Textbox(label="Skills", placeholder="
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],
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outputs=gr.Textbox(label="Customized Career Advice", lines=25),
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title="Customized AI-Powered Career Advice",
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description="This app provides AI-powered customized career advice based on your input. Powered by OpenAI GPT
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)
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career_advice_app.launch(server_name="0.0.0.0", debug=True, share=True)
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from openai import OpenAI
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import gradio as gr
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# Directly use your API key here (for quick testing only)
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client = OpenAI(api_key="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")
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def generate_career_advice(field, position_name, current_qualifications, likes, skills):
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prompt = f"""You are a career advisor AI. Provide customized career advice using the following details:
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- Desired Career Field: {field}
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- Dream Job: {position_name}
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- Tips on networking and gaining experience.
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Be concise and limit your response to 512 tokens or less."""
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try:
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response = client.chat.completions.create(
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model="gpt-4o",
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messages=[
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{"role": "system", "content": "You are a helpful and knowledgeable career advisor."},
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{"role": "user", "content": prompt},
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],
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max_tokens=512,
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temperature=0.7
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)
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career_advice = response.choices[0].message.content.strip()
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except Exception as e:
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career_advice = f"An error occurred: {str(e)}"
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return career_advice
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career_advice_app = gr.Interface(
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fn=generate_career_advice,
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allow_flagging="never",
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inputs=[
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gr.Textbox(label="Desired Career Field", placeholder="e.g., IT, healthcare, trades..."),
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gr.Textbox(label="Your Dream Job", placeholder="e.g., software developer, doctor, plumber..."),
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gr.Textbox(label="Current Qualifications and Certifications", placeholder="e.g., high school, college diploma..."),
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gr.Textbox(label="Likes", placeholder="e.g., helping people, solving puzzles, building things...", lines=2),
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gr.Textbox(label="Skills", placeholder="e.g., math, coding, communication...", lines=2),
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],
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outputs=gr.Textbox(label="Customized Career Advice", lines=25),
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title="Customized AI-Powered Career Advice",
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description="This app provides AI-powered customized career advice based on your input. Powered by OpenAI GPT-4o. Developed by wn. Disclaimer: AI can make mistakes. Use with caution.",
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)
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career_advice_app.launch(debug=True, share=True)
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