test didnt work, try from beginning

app.py

@@ -1,17 +1,5 @@
-import gradio as gr
-from transformers import pipeline
+import streamlit as st
 
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
-
-def predict(image):
-  predictions = pipeline(image)
-  return {p["label"]: p["score"] for p in predictions}
-
-gr.Interface(
-    predict,
-    inputs=gr.inputs.Image(label="Upload hot dog candidate", type="filepath"),
-    outputs=gr.outputs.Label(num_top_classes=2),
-    title="Hot Dog? Or Not?",
-    allow_flagging="manual"
-).launch()
+x = st.slider('Select a value')
+st.write(x, 'squared is', x * x)