Add inference params Support in Model Predict

[sainivedh]

Model Predict

# Note: CLARIFAI_PAT must be set as env variable.
from clarifai.client.model import Model

"""
Get Model information on details of model(description, usecases..etc) and info on training or
# other inference parameters(eg: temperature, top_k, max_tokens..etc for LLMs)
"""
gpt_4_model = Model("https://clarifai.com/openai/chat-completion/models/GPT-4")
print(gpt_4_model)


# 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))
# 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

# 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})

[sanjaychelliah]

LGTM!
One minor comment..