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Browse files- app_openai.py +41 -0
app_openai.py
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import os
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import gradio as gr
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from openai import OpenAI
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# Initialize the OpenAI client
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client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
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# Define the response function
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def respond(
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message,
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history: list[tuple[str, str]],
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system_message,
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role,
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education,
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passion,
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fit,
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anecdotes,
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max_tokens,
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temperature,
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top_p,
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):
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# Construct the enhanced system prompt
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enhanced_system_message = (
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f"{system_message}\n\n"
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f"Role, Industry, Employer and Summary of Job Ad: {role}\n"
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f"Summary of your Education and Work Experience: {education}\n"
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f"Why are you passionate about this job: {passion}\n"
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f"Why do you feel you are a good fit for this job: {fit}\n"
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f"Anecdotes: {anecdotes}\n"
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)
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# Construct message history
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messages = [{"role": "system", "content": enhanced_system_message}]
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for user_msg, assistant_msg in history:
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if user_msg:
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messages.append({"role": "user", "content": user_msg})
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if assistant_msg:
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messages.append({"role": "assistant", "content": assistant_msg})
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messages.append({"role": "user", "content": message})
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# Generate and stream response
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