diff --git a/README.md b/README.md
index ff70f0b..c0bf3a2 100644
--- a/README.md
+++ b/README.md
@@ -223,19 +223,19 @@ print(gpt_4_model)
 
 
 # Model Predict
-model_prediction = Model("https://clarifai.com/anthropic/completion/models/claude-v2").predict_by_bytes(b"Write a tweet on future of AI", input_type="text")
+model_prediction = Model("https://clarifai.com/anthropic/completion/models/claude-v2").predict_by_bytes(b"Write a tweet on future of AI")
 
 # Customizing Model Inference Output
-model_prediction = gpt_4_model.predict_by_bytes(b"Write a tweet on future of AI", "text", inference_params=dict(temperature=str(0.7), max_tokens=30))
+model_prediction = gpt_4_model.predict_by_bytes(b"Write a tweet on future of AI", inference_params=dict(temperature=str(0.7), max_tokens=30))
 # Return predictions having prediction confidence > 0.98
-model_prediction = model.predict_by_filepath(filepath="local_filepath", input_type, output_config={"min_value": 0.98}) # Supports image, text, audio, video
+model_prediction = model.predict_by_filepath(filepath="local_filepath", output_config={"min_value": 0.98}) # Supports image, text, audio, video
 
 # Supports prediction by url
-model_prediction = model.predict_by_url(url="url", input_type) # Supports image, text, audio, video
+model_prediction = model.predict_by_url(url="url") # Supports image, text, audio, video
 
 # Return predictions for specified interval of video
 video_input_proto = [input_obj.get_input_from_url("Input_id", video_url=BEER_VIDEO_URL)]
-model_prediction = model.predict(video_input_proto, input_type="video", output_config={"sample_ms": 2000})
+model_prediction = model.predict(video_input_proto, output_config={"sample_ms": 2000})
 ```
 #### Model Training
 ```python
@@ -345,12 +345,12 @@ from clarifai.client.workflow import Workflow
 
 # Workflow Predict
 workflow = Workflow("workflow_url") # Example: https://clarifai.com/clarifai/main/workflows/Face-Sentiment
-workflow_prediction = workflow.predict_by_url(url="url", input_type="image") # Supports image, text, audio, video
+workflow_prediction = workflow.predict_by_url(url="url") # Supports image, text, audio, video
 
 # Customizing Workflow Inference Output
 workflow = Workflow(user_id="user_id", app_id="app_id", workflow_id="workflow_id",
                   output_config={"min_value": 0.98}) # Return predictions having prediction confidence > 0.98
-workflow_prediction = workflow.predict_by_filepath(filepath="local_filepath", input_type="text") # Supports image, text, audio, video
+workflow_prediction = workflow.predict_by_filepath(filepath="local_filepath") # Supports image, text, audio, video
 ```
 
 #### Workflows Listing