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']

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 complete(prompt):
    args = {
      "modelId": "anthropic.claude-v2",
      "contentType": "application/json",
      "accept": "*/*",
      "body": "{\"prompt\":\"Human: " + prompt + "\\nAssistant:\",\"max_tokens_to_sample\":300,\"temperature\":1,\"top_k\":250,\"top_p\":0.999,\"stop_sequences\":[\"\\n\\nHuman:\"],\"anthropic_version\":\"bedrock-2023-05-31\"}"
    }
    response = bedrock_runtime.invoke_model(**args)
    response_body = json.loads(response.get("body").read())
    return response_body['completion']

gr.close_all()
demo = gr.Interface(fn=complete, 
                    inputs=[gr.Textbox(label="Prompt", lines=1)],
                    outputs=[gr.Textbox(label="Completion", lines=1)],
                    title="Generative AI with LLM",
                    description="<a href='https://www.gradio.app/'>Gradio</a> UI using <a href='https://aws.amazon.com/bedrock/'>Amazon Bedrock</a> API with <a href='https://www.anthropic.com/index/claude-2'>Claude 2</a> LLM")
demo.launch()