Update app.py

app.py

@@ -10,22 +10,22 @@ def get_image_concepts(image_bytes):
     channel = ClarifaiChannel.get_grpc_channel()
     stub = service_pb2_grpc.V2Stub(channel)
 
-
     PAT = os.getenv('CLARIFAI_PAT')
     
-    USER_ID = 'clarifai'
-    APP_ID = 'main'
-    MODEL_ID = 'general-image-detection'
-    MODEL_VERSION_ID = '1580bb1932594c93b7e2e04456af7c6f'
+    # Renamed variables
+    USER_ID_OBJECT = 'clarifai'
+    APP_ID_OBJECT = 'main'
+    MODEL_ID_OBJECT = 'general-image-detection'
+    MODEL_VERSION_ID_OBJECT = '1580bb1932594c93b7e2e04456af7c6f'
 
     metadata = (('authorization', 'Key ' + PAT),)
-    userDataObject = resources_pb2.UserAppIDSet(user_id=USER_ID, app_id=APP_ID)
+    userDataObject = resources_pb2.UserAppIDSet(user_id=USER_ID_OBJECT, app_id=APP_ID_OBJECT)
 
     post_model_outputs_response = stub.PostModelOutputs(
         service_pb2.PostModelOutputsRequest(
             user_app_id=userDataObject,
-            model_id=MODEL_ID,
-            version_id=MODEL_VERSION_ID,
+            model_id=MODEL_ID_OBJECT,
+            version_id=MODEL_VERSION_ID_OBJECT,
             inputs=[
                 resources_pb2.Input(
                     data=resources_pb2.Data(
@@ -47,7 +47,6 @@ def get_image_concepts(image_bytes):
 # Streamlit interface
 st.title("Image Detection with Clarifai")
 
-
 uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
 if uploaded_file is not None:
     image_bytes = uploaded_file.getvalue()
@@ -66,24 +65,4 @@ if uploaded_file is not None:
         for name in unique_names:
             st.write(name)
     else:
-        st.write("No unique items detected.")
-
-
-
-
-"""
-
-uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
-if uploaded_file is not None:
-    image_bytes = uploaded_file.getvalue()
-    regions = get_image_concepts(image_bytes)
-    for region in regions:
-        # Display each detected item
-        for concept in region.data.concepts:
-            name = concept.name
-            value = round(concept.value, 4)
-            st.write(f"{name}: {value}")
-
-# Run this with `streamlit run your_script_name.py`
-
-"""
+        st.write("No unique items detected.")