Update app.py

app.py

@@ -1,15 +1,22 @@
-import streamlit as st
 from transformers import pipeline
+import gradio as gr
 
-transcriber = pipeline(task="sentiment-analysis")
-text = st.text_input('Label', 'enter some text!')
+pipe = pipeline("image-classification", model="google/vit-base-patch16-224")
 
-if text:
-    out = transcriber(text)
-    st.json(out)
+gr.Interface.from_pipeline(pipe).launch()
 
-uploaded_file = st.file_uploader("Choose a CSV file", accept_multiple_files=True)
-bytes_data = uploaded_file.read()
-st.write("filename:", uploaded_file.name)
-st.write(bytes_data)
-st.image(uploaded_file)
+# import streamlit as st
+# from transformers import pipeline
+
+# transcriber = pipeline(task="sentiment-analysis")
+# text = st.text_input('Label', 'enter some text!')
+
+# if text:
+#     out = transcriber(text)
+#     st.json(out)
+
+# uploaded_file = st.file_uploader("Choose a CSV file", accept_multiple_files=True)
+# bytes_data = uploaded_file.read()
+# st.write("filename:", uploaded_file.name)
+# st.write(bytes_data)
+# st.image(uploaded_file)