| import google.generativeai as genai | |
| import os | |
| from dotenv import load_dotenv | |
| from convert import ExtractPDFText | |
| load_dotenv() | |
| genai.configure(api_key = os.environ["GOOGLE_API_KEY"]) | |
| model = genai.GenerativeModel("gemini-pro") | |
| def modelFeedback(ats_score,resume_data): | |
| input_prompt = f""" | |
| You are now an ATS Score analyzer and given ATS Score is {ats_score}. | |
| Your task is to provide feedback to the user based on the ATS score. | |
| print ATS score first. mention where resume is good and where resume lacks. | |
| talk about the resume like one to one chat. | |
| """ | |
| response = model.generate_content([input_prompt,resume_data],stream=True) | |
| response.resolve() | |
| return response |