added streamlit application code

README.md

@@ -23,3 +23,12 @@ things that will be using in this project -
 github.com tpo host the code base
 hugging stream face - to host the web application
 github.dev - to edit the code base
+
+
+process - write code - push to github - then the codebase to be deployed to hugging face
+
+Code 
+- created a virtual env to install necessary libraries ( in vscode use command ctrl+shift+p  and enter python create environment) vscode automatically creates a virtual environment for us
+- install necessary libraries 
+- write all the libraries in a file (cmnd  pip  freeze > requirements.txt)
+- create a file name app.py

app.py

@@ -0,0 +1,20 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load the sentiment analysis model from Hugging Face
+classifier = pipeline('sentiment-analysis')
+
+# Create a Streamlit app
+st.title('Sentiment Analysis with Hugging Face')
+st.write('Enter some text and we will predict its sentiment!')
+
+# Add a text input box for the user to enter text
+text_input = st.text_input('Enter text here')
+
+# When the user submits text, run the sentiment analysis model on it
+if st.button('Submit'):
+    # Predict the sentiment of the text using the Hugging Face model
+    sentiment = classifier(text_input)[0]['label']
+    
+    # Display the sentiment prediction to the user
+    st.write(f'Sentiment: {sentiment}')