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| import json | |
| import os | |
| import gradio as gr | |
| import requests | |
| import recruiting_assistant | |
| def search_resume(input_text): | |
| url = f"https://n970resrb9.execute-api.eu-west-1.amazonaws.com/dev/prediction" # replace with your API endpoint | |
| headers = {'Content-Type': 'application/json', "x-api-key": os.environ["API_KEY"]} # adjust headers as needed | |
| response = requests.post(url, headers=headers, data=json.dumps({"text": input_text})) | |
| response_data = response.json() | |
| if 'prediction' in response_data: | |
| prediction = response_data["prediction"] | |
| if isinstance(prediction, list): | |
| # Insert a newline after each '.' | |
| # Insert a newline after each '.' and add "Candidate <follow up number>:\n" before each item | |
| updated_prediction = [f"Candidate {i+1}:\n=============================\n{s}" for i, s in enumerate(prediction)] | |
| updated_prediction = [s.replace('. ', '.\n') for s in updated_prediction] | |
| updated_prediction = [s.replace('â¢', '\n - ') for s in updated_prediction] | |
| return "\n\n".join(updated_prediction) | |
| return "No 'prediction' key found in the response or the 'body' is not a list." | |
| examples = [[""" | |
| DATA SCIENTIST - GENTIS | |
| ======================== | |
| I am in contact with a top company in Ghent where they are looking for an additional Data Scientist. Beware... Once you start there, you won't be leaving anytime soon. The company likes to keep their employees happy, so few leave. | |
| The profile | |
| Min of 3 years experience as a Data Scientist | |
| Experience in Python and SQL | |
| Communicative very strong | |
| Experience in coaching and supporting junior collegues | |
| Experience in Google Cloud is a plus | |
| Experience in Machine Learning is a plus | |
| They offer | |
| An opportunity to be part of not only a fast-growing, innovative company, but one where you as a person can grow professionally as fast as the company | |
| A close-knit and diverse team who are all ready to help, listen and give advice to each other | |
| Training opportunities (because they don't stand still, so neither do you) | |
| Trendy and young company where everyone can be their own | |
| A very nice salary package and much more | |
| Lots of remote work and flexibility, so bye bye traffic JAMS! | |
| A renovated office with everything you could dream of full with surprises and extras | |
| If you are interested or want more info, don't hesitate to contact me. | |
| """], | |
| [ | |
| """ | |
| Payroll, Benefits & Office Manager | |
| ================================ | |
| Your mission: | |
| As Payroll, Benefits & Office Manager, you will play a crucial role in ensuring an outstanding service to our employees throughout their employee journey. | |
| You will be managing a team of 5, whilst improving systems and processes and providing support to the overall People and Organisation team. | |
| Your responsibilities: | |
| Manage the People Services team to deliver a "first time right " approach to service delivery, coaching and development of key skills and knowledge ensuring adequate cover across all work areas. | |
| Responsibility for ensuring that all HR administrative tasks across the full employee life cycle including pre- and post-employment administration, contract issue, contract amendments. | |
| Your profile: | |
| You have a proven track record in People Management. | |
| Your field of expertise lies in payroll and comp&ben, and experience in Facility Management or Property Management is a strong plus. | |
| What we offer you : | |
| A company on a human scale in which you quickly see the impact of your actions | |
| An attractive salary package with company car, accompanied by various extra-legal benefits (meal vouchers, group insurance, hospitalization insurance, etc.) | |
| 39 days off per year | |
| """ | |
| ] | |
| ] | |
| demo = gr.Blocks() | |
| with demo: | |
| gr.Markdown(""" | |
| # Recruiter Assistant | |
| ## 1. Provide a vacancy and get back relevant resumes from a database | |
| We have about 1000 resumes in our database: https://huggingface.co/datasets/Sachinkelenjaguri/Resume_dataset | |
| """) | |
| text_vacancy = gr.Textbox(hint="Paste here a Vacancy...", lines=7, label="Copy/paste here a vacancy") | |
| b1 = gr.Button("Search Resume") | |
| text_search_result = gr.Textbox(hint="Top resumes will appear here ...", label="Top resumes found in the database") | |
| b1.click(search_resume, inputs=text_vacancy, outputs=text_search_result) | |
| gr.Markdown(""" | |
| ## 2. Select an appropriate resume for this vacancy, paste it in the textfield and write a relevant introduction email | |
| """) | |
| text_resume = gr.Textbox(hint="Paste here a Resume...", label="Copy / Paste here your prefered resume from above and click the button to write an intro ") | |
| b2 = gr.Button("Write a relevant intro") | |
| gr.Markdown(""" | |
| ## 3. You have a relevant introduction email to send to the customer | |
| """) | |
| text_intro = gr.Textbox(label="Intro Email") | |
| evaluation = gr.Textbox(label="Evaluation of the skills") | |
| b2.click(recruiting_assistant.create_intro, | |
| inputs=[ | |
| text_vacancy, | |
| text_resume | |
| ], | |
| outputs=[text_intro, evaluation] | |
| ) | |
| gr.Examples( | |
| examples=examples, | |
| fn=search_resume, | |
| inputs=text_vacancy, | |
| outputs=text_search_result, | |
| cache_examples=False, | |
| ) | |
| demo.launch() |