Spaces:
Sleeping
Sleeping
import streamlit as st | |
import requests | |
from PIL import Image | |
from streamlit_lottie import st_lottie | |
st.set_page_config( | |
page_title="NLP WEB APP" | |
) | |
#---------------------LOTTIE ANIMATION ------------------------ | |
def load_lottie(url): | |
r = requests.get(url) | |
if r.status_code!=200: | |
return None | |
return r.json() | |
lottie_coding = load_lottie("https://lottie.host/e0a6d7e0-6b3d-428f-addc-aa44a746d653/MImt8ecbMs.json") | |
st.sidebar.success("Select a page above") | |
# -------------- HEADER ---------------------------- | |
with st.container(): | |
st.subheader("Hi , I am Sudhanshu :wave:") | |
st.title("A Data Scientist and NLP Engineer from INDIA") | |
st.write("I am passionate about finding ways to solve real life problems through my skills of ML , DL and NLP") | |
st.write("[Know more about me >> ](https://www.linkedin.com/in/sudhanshu-gusain-34271028a/)") | |
# --------------------WHAT I DO -------------------------- | |
with st.container(): | |
st.write("-----") | |
left_column ,center, right_column = st.columns(3) | |
with left_column: | |
st.header("MY SKILLS") | |
st.write("##") | |
st.write(""" | |
π **Data Science Explorer**: Over the past year, I've dedicated myself to understanding and harnessing the power of data. I've translated my knowledge into tangible projects, gaining expertise in a wide range of skills, including: | |
- **Power BI** | |
- **Machine Learning** | |
- **Deep Learning** | |
- **NLP (Natural Language Processing)** | |
- **Flask** | |
- **SQL and Python** | |
- **Web Services** | |
""") | |
with center: | |
st.write("") | |
with right_column: | |
st.header("MY PROJECTS") | |
st.write("##") | |
st.write(""" | |
##### 1. SMS-SPAM-CLASSIFIER USING ML | |
##### 2. LANGUAGE-DETECTOR USING ML | |
##### 3. SENTIMENT-ANALYZER USING BERT | |
##### 4. NEXT-WORD-PREDICTOR USING LSTM """) | |
with st.container(): | |
st.write("--------------------------------------------------------------------------------------------------") | |
with st.container(): | |
st_lottie(lottie_coding) | |