app.py

import gradio as gr
import boto3, json, os

from dotenv import load_dotenv, find_dotenv
_ = load_dotenv(find_dotenv())

aws_access_key_id = os.environ["AWS_ACCESS_KEY_ID"]
aws_secret_access_key = os.environ["AWS_SECRET_ACCESS_KEY"]

config = {
    "max_tokens_to_sample": 1000,
    "model": "anthropic.claude-v2",
    "temperature": 0,
    "top_k": 250,
    "top_p": 0.999,
}

bedrock_runtime = boto3.client(
    aws_access_key_id = aws_access_key_id,
    aws_secret_access_key = aws_secret_access_key,
    service_name = "bedrock-runtime",
    region_name = "us-west-2"
)

def invoke(prompt):
    if (prompt == ""):
        raise gr.Error("Prompt is required.")

    raise gr.Error("Clone and bring your own credentials.")
    
    completion = ""
    
    try:
        body = json.dumps({"prompt": "Human: " + prompt + "Assistant: ",
                           "max_tokens_to_sample": config["max_tokens_to_sample"],
                           "temperature": config["temperature"],
                           "top_k": config["top_k"],
                           "top_p": config["top_p"],
                           "stop_sequences": ["Human: "]})
        modelId = config["model"]
        accept = "application/json"
        contentType = "application/json"
        
        response = bedrock_runtime.invoke_model(body = body, 
                                                modelId = modelId, 
                                                accept = accept, 
                                                contentType = contentType)
        
        response_body = json.loads(response.get("body").read())
        completion = response_body["completion"]
    except Exception as e:
        completion = e
        
        raise gr.Error(e)
    
    return completion

description = """<a href='https://www.gradio.app/'>Gradio</a> UI using the <a href='https://aws.amazon.com/bedrock/'>Amazon Bedrock</a> API 
                 with <a href='https://www.anthropic.com/'>Anthropic</a> Claude 2 model."""

gr.close_all()

demo = gr.Interface(fn = invoke, 
                    inputs = [gr.Textbox(label = "Prompt", value = "hi", lines = 1)],
                    outputs = [gr.Textbox(label = "Completion", lines = 1)],
                    title = "Generative AI - LLM",
                    description = description)

demo.launch()