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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("""
📊 **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)
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