Create app.py

app.py

@@ -0,0 +1,24 @@
+import streamlit as st
+from gradio_client import Client
+
+# Function to make API prediction
+def predict_image_description(image_url):
+    client = Client("https://ashrafb-imdes.hf.space/")
+    result = client.predict(image_url, api_name="/predict")
+    return result
+
+# Streamlit UI
+st.title("Image Description App")
+st.write("Upload an image and click the button to get a description!")
+
+uploaded_file = st.file_uploader("Choose an image...", type="jpg")
+
+if uploaded_file is not None:
+    st.image(uploaded_file, caption="Uploaded Image.", use_column_width=True)
+    st.write("")
+    st.write("Classifying...")
+
+    # Make API prediction
+    description = predict_image_description(uploaded_file)
+    st.write(f"Description: {description}")
+