Create app.py

app.py

@@ -0,0 +1,23 @@
+import streamlit as st
+from PIL import Image
+import requests
+from transformers import pipeline
+
+# Load the pipeline
+model_name = "AP4556/Do-Model" #AP4556/Do-Model #vm24bho/net_dfm_myimg
+pipe = pipeline('image-classification', model=model_name)
+
+st.title("Deepfake vs Real Image Detection")
+
+uploaded_file = st.file_uploader("Choose an image...", type="jpg")
+if uploaded_file is not None:
+    image = Image.open(uploaded_file)
+    st.image(image, caption='Uploaded Image.', use_column_width=True)
+    st.write("")
+    st.write("Classifying...")
+
+    # Apply the model
+    result = pipe(image)
+
+    # Display the result
+    st.write(result)