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import os | |
import streamlit as st | |
from groq import Groq | |
from dotenv import load_dotenv | |
# Load environment variables from .env file | |
load_dotenv() | |
# Set up Groq client with API key | |
client = Groq( | |
api_key=os.getenv("GROQ_API_KEY"), | |
) | |
# Streamlit UI | |
st.title("AI-powered CV Generator") | |
# Input fields for CV details | |
name = st.text_input("Name") | |
email = st.text_input("Email") | |
phone = st.text_input("Phone Number") | |
experience = st.text_area("Experience") | |
skills = st.text_area("Skills") | |
# Button to generate CV | |
if st.button("Generate CV"): | |
# Constructing the content for the Groq model | |
prompt = f"Create a CV for {name}. Email: {email}, Phone: {phone}. Experience: {experience}. Skills: {skills}." | |
# Calling the Groq API | |
chat_completion = client.chat.completions.create( | |
messages=[ | |
{ | |
"role": "user", | |
"content": prompt, | |
} | |
], | |
model="mixtral-8x7b-32768", | |
) | |
# Displaying the generated CV | |
cv_content = chat_completion.choices[0].message.content | |
st.write(cv_content) | |