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("This project aims to Explore various open-source Large Language Models (LLMs) and " "compare them to OpenAI models. \n" "Please be patient with the open source LLM models, as they are running without GPU. \n " "Average generation time around 5 minutes. \n" "The Open AI models are faster, but needs API key as they are hosted by Open AI. \n" "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)