honeyangelhp's picture
Update model.py
e8914de verified
raw
history blame
885 Bytes
import google.generativeai as genai
import os
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
# Google Gemini
genai.configure(api_key=os.environ["GOOGLE_API_KEY"])
# Initialize the generative model
model = genai.GenerativeModel("gemini-pro")
def modelFeedback(ats_score, resume_data):
# Create the input prompt template
input_prompt_template = """
You are an HR Screening for Resumes.
The ATS score for the resume is {ats_score}.
Provide a relevant summary (up to 150 words) for the following resume based on this score:
{resume_data}
"""
# Format the prompt with ATS score and resume data
input_prompt = input_prompt_template.format(ats_score=ats_score, resume_data=resume_data)
# Generate response
response = model.generate_content(input_prompt)
# Return response text
return response.text