Update app.py

app.py

@@ -1,14 +1,19 @@
 import streamlit as st
+from transformers import pipeline
 #from datasets import load_dataset, Image
 from huggingface_hub import from_pretrained_keras
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+pipe = pipeline('sentiment-analysis')
+text = st.text_area('enter some text!')
+
+if text:
+    out = pipe(text)
+    st.json(out)
 
 #loaded_model = keras.saving.load_model("jableable/road_model")
 
-model = from_pretrained_keras("keras-io/ocr-for-captcha")
-model.summary()
+#model = from_pretrained_keras("keras-io/ocr-for-captcha")
+#model.summary()
 #prediction = model.predict(image)
 #prediction = tf.squeeze(tf.round(prediction))
 #print(f'The image is a {classes[(np.argmax(prediction))]}!')