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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-1.5-flash") | |
def modelFeedback(ats_score,resume_data): | |
input_prompt = f""" | |
You are now an ATS Score analyzer and given ATS Score is {int(ats_score*100)}%. | |
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 each section of user's resume and talk good and bad points of it. | |
""" | |
response = model.generate_content([input_prompt,resume_data],stream=True) | |
response.resolve() | |
return response |