first commit

app.py

@@ -0,0 +1,32 @@
+import streamlit as st
+from transformers import pipeline
+
+# title
+st.title("Sentiment Analysis App")
+
+# subtitle
+st.markdown("Enter a text and select a pretrained model to get the sentiment analysis:")
+
+st.markdown("Link to the app - [sentiment-analysis-streamlit on 🤗 Spaces](https://huggingface.co/spaces/rd448/sentiment-analysis-streamlit)")
+
+# text input
+text = st.text_input("Enter text here", "I love you")
+
+# Model selection dropdown
+model_names = ["distilbert-base-uncased-finetuned-sst-2-english"]
+model = st.selectbox("Select a pretrained model", model_names)
+
+# Sentiment analysis function
+def analyze_sentiment(text, model):
+    if model == "distilbert-base-uncased-finetuned-sst-2-english":
+        classifier = pipeline("sentiment-analysis", model=model)
+        result = classifier(text)[0]
+        sentiment = result['label']
+        score = result['score']
+    return sentiment, score
+
+if st.button("Analyze"):
+    sentiment, score = analyze_sentiment(text, model)
+    st.write(f"Sentiment: {sentiment}")
+    if score is not None:
+        st.write(f"Score: {score}")

requirements.txt

@@ -0,0 +1 @@
+transformers