pages/3-🤗 Tutorial : Dive into HuggingFace.py

import streamlit as st 

st.title("🤗 Tutorial : use HuggingFace to enhance your resume")
st.subheader("Use a specific space on HuggingFace")
st.markdown("""
In order to find a Space that will help you with your CV, you should go to the [Spaces](https://huggingface.co/spaces) page. 
And then you can search by typing *CV* or *Resume*.
For this tutorial, we are gonna use the tool [Resume Enhancement](https://huggingface.co/spaces/halimbahae/Resume_Enhancement)

#### In order to use a *Resume Enhancement* Space for enhancing your resume, follow the video instructions : 
- First go to [Resume Enhancement](https://huggingface.co/spaces/halimbahae/Resume_Enhancement)
- Then go into the section "Resume Quality" in order to get feedback from the bot :
""")

video_file = open("assets/hf_resume_quality.mp4", "rb")  
video_bytes = video_file.read()

st.video(video_bytes)

st.markdown("""
- Then you can ask the bot to evaluate your CV specifically for a Job offer with the section "Resume Match":  """)

video_file2 = open("assets/hf_resume_match.mp4", "rb")  
video_bytes2 = video_file2.read()

st.video(video_bytes2)

st.markdown("""
- You can also go to "ATS" section in order for the bot to analyze your resume for ATS screening :  """)

video_file3 = open("assets/hf_ats.mp4", "rb")  
video_bytes3 = video_file3.read()

st.video(video_bytes3)

st.markdown("""

Have fun playing with the tool :) 

""")