Upload app.py

app.py

@@ -35,7 +35,7 @@ metadata_tts = (('authorization', 'Key ' + PAT_TTS),)
 userDataObject_tts = resources_pb2.UserAppIDSet(user_id=USER_ID_TTS, app_id=APP_ID_TTS,)
 
 # Streamlit app
-st.title("Fake news detection")
+st.title("NewsGuardian")
 
 
 # Inserting logo
@@ -48,12 +48,12 @@ def get_tts_channel():
 
 
 # User input
-model_type = st.selectbox("Select Model", ["Fake news detection model"])
+model_type = st.selectbox("Select Model", ["NewsGuardian model"])
 raw_text = st.text_area("This news is real or fake?")
 image_upload = st.file_uploader("Upload Image", type=["jpg", "jpeg", "png"])
 
 # Button to generate result
-if st.button("Generate News Result"):
+if st.button("NewsGuardian News Result"):
     if model_type == "GPT-4 Vision":
         # Set up gRPC channel for GPT-4 Vision
         channel_gpt4 = ClarifaiChannel.get_grpc_channel()