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import time
import streamlit as st
import LLMHelper
def generate_open_source():
with output_col:
st.session_state.running = True
start_time = time.time()
context_length = (len(st.session_state.get('resume', '').split()) +
len(st.session_state.get('jd', '').split()) +
2000)
cover_letter_generator = LLMHelper.generate_cover_letter_open_source(
job_description=st.session_state['jd'], resume=st.session_state['resume'],
selected_model=selected_model, context_length=context_length
)
print(f'generated text: {cover_letter_generator}')
generate_response(cover_letter_generator, start_time)
st.session_state.running = False
def generate_openai():
with output_col:
start_time = time.time()
try:
cover_letter_generator = LLMHelper.generate_cover_letter_openai(
job_description=st.session_state['jd'], resume=st.session_state['resume'],
selected_model=selected_model, openai_key=open_ai_key
)
generate_response(cover_letter_generator, start_time)
except ValueError as e:
st.error("Please provide a valid Open AI API key")
st.session_state.running = False
def generate_response(cover_letter_gen, start_time):
with output_col:
if cover_letter_gen is not None:
with st.container(border=True):
with st.spinner("Generating text..."):
generated_text_placeholder = st.empty()
for chunk in cover_letter_gen:
st.session_state.cover_letter_stream += chunk
generated_text_placeholder.write(st.session_state.cover_letter_stream)
st.write(f"generated words: {len(st.session_state.cover_letter_stream.split())}")
st.write(f"generation time: {round(time.time() - start_time, 2)} seconds")
st.write(
f"tokens per second: {round(len(st.session_state.cover_letter_stream.split())/(round(time.time() - start_time, 2)))} seconds")
if 'running' not in st.session_state:
st.session_state.running = False
st.session_state.cover_letter_stream = ""
st.set_page_config(page_title='LLM Cover Letter Generator', layout="wide")
st.markdown("## Cover Letter Generator using Large Language Models (LLM)")
st.info("Please be patient with the open source LLM models, as they are running on a CPU on the server.\n "
"Average generation time around 5 mins.")
info = st.expander("Information")
info.write(f"This project aims to:\n"
f"- Explore various open-source Large Language Models (LLMs).\n"
f"- Compare them to OpenAI models for performance. \n"
f"- Highlight benefits of open-source LLMs: \n"
f" - Faster generation on OpenAI models due to non-local execution.\n"
f" - Run open-source models on CPU with 10GB RAM (Around 5-min generation time).\n"
f" - Significantly faster generation on GPUs. \n"
f" - Free of cost and user-data ownership.\n\n"
f"Checkout my profile: https://zayedupal.github.io")
input_col, output_col = st.columns(2)
with input_col:
st.session_state['jd'] = st.text_area("Job Description",
placeholder="Paste the job description here",
disabled=st.session_state.running)
st.write(f"{len(st.session_state.get('jd', '').split())} words")
st.session_state['resume'] = st.text_area("Resume Information",
placeholder="Paste the resume content here",
disabled=st.session_state.running)
st.write(f"{len(st.session_state.get('resume', '').split())} words")
with output_col:
llm_tab = st.radio("LLM type", ["Open Source LLMs", "Open AI LLMs"], horizontal=True)
if llm_tab == "Open Source LLMs":
cover_letter_generator = None
st.session_state.cover_letter_stream = ""
selected_model = st.selectbox("Select LLM Model", options=LLMHelper.AVAILABLE_MODELS_GGUF.keys(),
disabled=st.session_state.running)
st.button("Generate Cover Letter", key='open_source_gen_key', on_click=generate_open_source,
disabled=st.session_state.running)
elif llm_tab == "Open AI LLMs":
cover_letter_generator = None
st.session_state.cover_letter_stream = ""
selected_model = st.selectbox("Select Open AI Model", options=LLMHelper.AVAILABLE_MODELS_OPENAI,
disabled=st.session_state.running)
open_ai_key = st.text_input("Enter your open ai API key")
st.button("Generate Cover Letter", key='open_ai_gen_key', disabled=st.session_state.running,
on_click=generate_openai)
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