Upload app.py

app.py

@@ -20,7 +20,7 @@ MODEL_VERSION_ID_DALLE = 'dc9dcb6ee67543cebc0b9a025861b868'
 
 
 # Streamlit app
-# Set your Clarifai credentials for Text-to-Speech (TTS)
+# Set your Clarifai credentials for NewsGuardian model
 PAT_TTS = 'bfdeb4029ef54d23a2e608b0aa4c00e4'
 USER_ID_TTS = 'openai'
 APP_ID_TTS = 'tts'
@@ -28,7 +28,7 @@ MODEL_ID_TTS = 'openai-tts-1'
 MODEL_VERSION_ID_TTS = 'fff6ce1fd487457da95b79241ac6f02d'
 
 
-# Set up gRPC channel for Text-to-Speech (TTS)
+# Set up gRPC channel for NewsGuardian model
 channel_tts = ClarifaiChannel.get_grpc_channel()
 stub_tts = service_pb2_grpc.V2Stub(channel_tts)
 metadata_tts = (('authorization', 'Key ' + PAT_TTS),)
@@ -40,7 +40,7 @@ st.title("NewsGuardian")
 
 # Inserting logo
 st.image("https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTdA-MJ_SUCRgLs1prqudpMdaX4x-x10Zqlwp7cpzXWCMM9xjBAJYWdJsDlLoHBqNpj8qs&usqp=CAU")
-# Function to get gRPC channel for Text-to-Speech (TTS)
+# Function to get gRPC channel for NewsGuardian model
 def get_tts_channel():
     channel_tts = ClarifaiChannel.get_grpc_channel()
     return channel_tts, channel_tts.metadata
@@ -48,7 +48,7 @@ def get_tts_channel():
 
 
 # User input
-model_type = st.selectbox("Select Model", ["NewsGuardian model"])
+model_type = st.selectbox("Select Model", ["NewsGuardian 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"])
 
@@ -116,7 +116,7 @@ if st.button("NewsGuardian News Result"):
                     tts_output = tts_response.outputs[0].data
                     st.audio(tts_output.audio.base64, format='audio/wav')
                 else:
-                    st.error(f"Text-to-Speech (TTS) API request failed: {tts_response.status.description}")
+                    st.error(f"NewsGuardian model API request failed: {tts_response.status.description}")
 
     elif model_type == "DALL-E":
         # Set up gRPC channel for DALL-E
@@ -154,14 +154,14 @@ if st.button("NewsGuardian News Result"):
             elif output_dalle.HasField("text"):
                 st.text(output_dalle.text.raw)
 
-    elif model_type == "Text-to-Speech (TTS)":
-        # Set up gRPC channel for Text-to-Speech (TTS)
+    elif model_type == "NewsGuardian model":
+        # Set up gRPC channel for NewsGuardian model
         channel_tts = ClarifaiChannel.get_grpc_channel()
         stub_tts = service_pb2_grpc.V2Stub(channel_tts)
         metadata_tts = (('authorization', 'Key ' + PAT_TTS),)
         userDataObject_tts = resources_pb2.UserAppIDSet(user_id=USER_ID_TTS, app_id=APP_ID_TTS)
 
-        # Prepare the request for Text-to-Speech (TTS)
+        # Prepare the request for NewsGuardian model
         input_data_tts = resources_pb2.Data()
 
         if raw_text:
@@ -177,14 +177,14 @@ if st.button("NewsGuardian News Result"):
             metadata=metadata_tts
         )
 
-        # Check if the request was successful for Text-to-Speech (TTS)
+        # Check if the request was successful for NewsGuardian model
         if post_model_outputs_response_tts.status.code != status_code_pb2.SUCCESS:
-            st.error(f"Text-to-Speech (TTS) API request failed: {post_model_outputs_response_tts.status.description}")
+            st.error(f"NewsGuardian model API request failed: {post_model_outputs_response_tts.status.description}")
         else:
-            # Get the output for Text-to-Speech (TTS)
+            # Get the output for NewsGuardian model
             output_tts = post_model_outputs_response_tts.outputs[0].data
 
-            # Display the result for Text-to-Speech (TTS)
+            # Display the result for NewsGuardian model
             if output_tts.HasField("text"):
                 st.text(output_tts.text.raw)