add: streamlit

README.md

@@ -3,13 +3,25 @@ title: HF Spaces
 emoji: 🤖
 colorFrom: pink
 colorTo: purple
-sdk: gradio
-sdk_version: 5.9.1
+sdk: streamlit
+sdk_version: 1.41.0
 suggested_hardware: cpu-basic
-app_file: app_hotdog.py
+app_file: app_hotdog_st.py
 short_description: Code base for learning huggingface spaces
 pinned: false
 ---
 
 # learn-hf-spaces
 Code base for learning huggingface spaces
+
+Using gradio
+```
+sdk: gradio
+sdk_version: 5.9.1
+```
+
+Using streamlit
+```
+sdk: streamlit
+sdk_version: 1.41.0
+```

app_hotdog_st.py

@@ -0,0 +1,20 @@
+import streamlit as st
+from transformers import pipeline
+from PIL import Image
+
+pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+
+st.title("Hot Dog? Or Not?")
+
+file_name = st.file_uploader("Upload a hot dog candidate image")
+
+if file_name is not None:
+    col1, col2 = st.columns(2)
+
+    image = Image.open(file_name)
+    col1.image(image, use_column_width=True)
+    predictions = pipeline(image)
+
+    col2.header("Probabilities")
+    for p in predictions:
+        col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")