init commit

.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+sentiment_analysis_model.p filter=lfs diff=lfs merge=lfs -text

Procfile

@@ -0,0 +1 @@
+web: sh setup.sh && streamlit run sa2.py

requirements.txt

@@ -0,0 +1,2 @@
+streamlit
+scikit-learn == 1.1.2

sa2.py

@@ -0,0 +1,26 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[4]:
+
+
+import pickle
+import streamlit as st
+
+model=pickle.load(open('sentiment_analysis_model.p','rb'))
+
+st.title(' Sentiment Analysis Model ')
+
+st.write('Enter text for sentiment analysis:')
+message = st.text_area("","Type Here ...")
+if st.button('PREDICT'):
+    disp=" "
+    a = model.predict([message])[0]
+    if(a == 'pos'):
+        disp = "Positive Sentiment!"
+    else:
+        disp = "Negative Sentiment!"
+    st.write('The sentiment of given text is:', disp)
+    # st.header(f"**{a}**")
+    # q = model.predict_proba([message])
+

sentiment_analysis_model.p

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:04cb3dc9b741dc6d9fd3c7e13e331d597693ccfc801f842961f3739d54e38f3c
+size 3768166

setup.sh

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+mkdir -p ~/.streamlit/
+
+echo "\
+[server]\n\
+headless = true\n\
+port = $PORT\n\
+enableCORS = false\n\
+\n\
+" > ~/.streamlit/config.toml