Milestone 2 (#8)

* merge (#3)

* Create main.yml

* Update main.yml

* Update main.yml

* Update main.yml

* adding sentiment analysis for dummy text

* update version

* testing deployment

app.py

@@ -1,7 +1,7 @@
 import streamlit as st 
 from transformers import pipeline
 
-classifier = pipeline(task="sentiment-analysis")
+# classifier = pipeline(task="sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
 
 st.title("Sentiment Analysis App")
 
@@ -10,7 +10,9 @@ NEGATIVE = "You are a terrible person!"
 
 st.caption(POSITIVE)
 if st.button("Get sentiment", key=1):
-    st.write(classifier(POSITIVE)[0]['label'])
+    # st.write(classifier(POSITIVE)[0]['label'])
+    st.write("POSITIVE")
 st.caption(NEGATIVE)
 if st.button("Get sentiment", key=2):
-    st.write(classifier(NEGATIVE)[0]['label'])
+    st.write("POSITIVE")
+    # st.write(classifier(NEGATIVE)[0]['label'])

dockerfile

@@ -0,0 +1,14 @@
+FROM python:3
+
+WORKDIR /usr/src/app
+
+COPY requirements.txt ./
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+EXPOSE 8501
+
+HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
+
+ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]

requirements.txt

@@ -2,4 +2,4 @@ streamlit
 numpy
 transformers
 datasets
-tensorflow==2.9.3
+tensorflow==2.12.0