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on
CPU Upgrade
Commit
·
a77ecf2
1
Parent(s):
e7d0d5d
Checkpoint that includes all fields. Need to add confirmation.
Browse files
app.py
CHANGED
@@ -142,6 +142,8 @@ def get_key_accomplishments_prompt(job_and_company_info, resume):
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Please provide the following information in a concise and straightforward manner, without any extraneous comments or information that may confuse an LLM that this response will be piped to: Output the results in a simple format, with the key accomplishments first, followed by the transferable skills."
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"""
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class Role:
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def __init__(self, company_name, company_url, job_description, clean_job_description, job_title):
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self.company_name = company_name
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@@ -169,7 +171,7 @@ def smol_lm_jd_process(job_description, system_prompt, max_new_tokens=512):
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response = response[start_idx + len("<|im_start|>assistant\n"):end_idx].strip()
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return response
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def process_job_description(company_name, company_url, job_description):
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# Step 2: Extract key qualifications, skills, and requirements
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system_prompt_requirements = "Extract key qualifications, skills, and requirements from this job description. Output as bullet points. Remove benefits/salary, bragging about the company, and other fluff not relevant to the skills, qualifications, and job requirements. ONLY INCLUDE INFORMATION THAT TELLS THE USER WHAT SKILLS THE EMPLOYER SEEKS."
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@@ -242,109 +244,52 @@ def process_job_description(company_name, company_url, job_description):
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}
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}
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def generate_gap_assessment_prompt(job_and_company_info, resume, role):
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job_and_company_info_str = f"""
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Company Name: {job_and_company_info['Company Name']}
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Company URL: {job_and_company_info['Company URL']}
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Job Title: {job_and_company_info['job_title']}
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Role Requirements: {job_and_company_info['Role Requirements']}
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Clean Job Description: {job_and_company_info['Clean Job Description']}
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Company Research:
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Company Values: {job_and_company_info['Company Research']['Company Values Summary']}
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Corporate Culture: {job_and_company_info['Company Research']['Corporate Culture Summary']}
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Leadership Team and Possible Key Opinion Leaders: {job_and_company_info['Company Research']['Leadership Team Summary']}
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Recent Company News: {job_and_company_info['Company Research']['Recent News Summary']}
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Company Competitive Advantages: {job_and_company_info['Company Research']['Competitive Advantages Summary']}
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"""
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prompt = GAP_ASSESSMENT_PROMPT.replace("{JOB_AND_COMPANY_INFO}", job_and_company_info_str).replace("{RESUME}", resume)
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def generate_key_accomplishments_and_skills_prompt(role, applicant):
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prompt = KEY_ACCOMPLISHMENTS_AND_SKILLS.replace("{Role.clean_job_description}", role.clean_job_description).replace("{Applicant.resume}", applicant.resume)
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return prompt
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def gap_assessment_interface(job_and_company_info, resume):
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prompt = get_gap_assessment_prompt(job_and_company_info, resume)
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return gr.TextArea(label="Gap Assessment Prompt", value=prompt, interactive=False)
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def key_accomplishments_and_skills_interface(job_and_company_info, resume):
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prompt = get_key_accomplishments_prompt(job_and_company_info, resume)
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return gr.TextArea(label="Key Accomplishments and Skills Prompt", value=prompt, interactive=False)
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def submit_gap_assessment_result(gap_assessment_result):
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return gap_assessment_result
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def submit_key_accomplishments_and_skills_result(key_accomplishments_and_skills_result):
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return key_accomplishments_and_skills_result
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# Create the Gradio app
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demo = gr.Blocks()
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with demo:
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gr.Markdown("# Job Description Input")
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job_and_company_info_output = gr.JSON(label="Job and Company Info")
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role_output = gr.State()
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gr.Button("Submit").click(
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process_job_description,
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inputs=[company_name, company_url, job_description],
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outputs=[job_and_company_info_output, role_output]
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)
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gr.
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gr.
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outputs=gap_assessment_prompt_output
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).then(
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key_accomplishments_and_skills_interface,
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inputs=[job_and_company_info_output, resume],
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outputs=key_accomplishments_and_skills_prompt_output
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).then(
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lambda: [gr.update(visible=True), gr.update(visible=True)],
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outputs=[gap_assessment_prompt_output, key_accomplishments_and_skills_prompt_output]
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)
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gr.
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submit_gap_assessment_result,
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inputs=[gap_assessment_result],
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outputs=gr.TextArea(label="Gap Assessment Result")
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)
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gr.Markdown("# Key Accomplishments and Skills Result", visible=False)
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key_accomplishments_and_skills_result = gr.TextArea(label="Paste Key Accomplishments and Skills Result", visible=False)
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gr.Button("Submit Key Accomplishments and Skills Result", visible=False).click(
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submit_key_accomplishments_and_skills_result,
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inputs=[key_accomplishments_and_skills_result],
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outputs=
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)
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def show_results():
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return [gr.update(visible=True), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)]
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gr.Button("Generate Prompts").click(
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show_results,
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outputs=[gr.Markdown("# Gap Assessment Result", visible=False),
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gap_assessment_result,
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gr.Button("Submit Gap Assessment Result", visible=False),
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gr.Markdown("# Key Accomplishments and Skills Result", visible=False),
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key_accomplishments_and_skills_result,
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gr.Button("Submit Key Accomplishments and Skills Result", visible=False)]
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)
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if __name__ == "__main__":
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Please provide the following information in a concise and straightforward manner, without any extraneous comments or information that may confuse an LLM that this response will be piped to: Output the results in a simple format, with the key accomplishments first, followed by the transferable skills."
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"""
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return key_skills_and_accomplaishments
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+
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class Role:
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def __init__(self, company_name, company_url, job_description, clean_job_description, job_title):
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self.company_name = company_name
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response = response[start_idx + len("<|im_start|>assistant\n"):end_idx].strip()
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return response
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def process_job_description(company_name, company_url, job_description, resume):
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# Step 2: Extract key qualifications, skills, and requirements
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system_prompt_requirements = "Extract key qualifications, skills, and requirements from this job description. Output as bullet points. Remove benefits/salary, bragging about the company, and other fluff not relevant to the skills, qualifications, and job requirements. ONLY INCLUDE INFORMATION THAT TELLS THE USER WHAT SKILLS THE EMPLOYER SEEKS."
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}
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}
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gap_assessment_prompt = get_gap_assessment_prompt(job_and_company_info, resume)
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return job_and_company_info, role, gap_assessment_prompt
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def generate_key_accomplishments_and_skills_prompt(job_and_company_info, resume):
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return get_key_accomplishments_prompt(job_and_company_info, resume)
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# Create the Gradio app
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demo = gr.Blocks()
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with demo:
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gr.Markdown("# Job Description and Resume Input")
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with gr.Row():
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company_name = gr.Textbox(label="Company Name")
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company_url = gr.Textbox(label="Company URL")
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job_description = gr.TextArea(label="Paste Job Description")
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resume = gr.TextArea(label="Paste Resume")
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job_and_company_info_output = gr.JSON(label="Job and Company Info")
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role_output = gr.State()
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gap_assessment_prompt_output = gr.TextArea(label="Gap Assessment Prompt")
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gr.Button("Submit").click(
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process_job_description,
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inputs=[company_name, company_url, job_description, resume],
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outputs=[job_and_company_info_output, role_output, gap_assessment_prompt_output]
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)
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gap_assessment_result = gr.TextArea(label="Paste Gap Assessment Result")
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gr.Button("Submit Gap Assessment Result").click(
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None,
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inputs=[gap_assessment_result],
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outputs=None
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)
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key_accomplishments_and_skills_prompt_output = gr.TextArea(label="Key Accomplishments and Skills Prompt")
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gr.Button("Generate Key Accomplishments and Skills Prompt").click(
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generate_key_accomplishments_and_skills_prompt,
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inputs=[job_and_company_info_output, resume],
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outputs=key_accomplishments_and_skills_prompt_output
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)
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key_accomplishments_and_skills_result = gr.TextArea(label="Paste Key Accomplishments and Skills Result")
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gr.Button("Submit Key Accomplishments and Skills Result").click(
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None,
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inputs=[key_accomplishments_and_skills_result],
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outputs=None
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)
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if __name__ == "__main__":
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