import gradio as gr
import requests, json
#import os
#from dotenv import load_dotenv, find_dotenv

#_ = load_dotenv(find_dotenv()) # read local .env file
#hf_api_key = os.environ['HF_API_KEY']


API_URL = "https://api-inference.huggingface.co/models/dslim/bert-base-NER" #NER endpoint
hf_api_key = "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"

# Helper function

#Summarization endpoint
def get_completion(inputs, parameters=None,ENDPOINT_URL=API_URL): 
    headers = {
      "Authorization": f"Bearer {hf_api_key}",
      "Content-Type": "application/json"
    }
    data = { "inputs": inputs }
    if parameters is not None:
        data.update({"parameters": parameters})
    response = requests.request("POST",
                                ENDPOINT_URL, headers=headers,
                                data=json.dumps(data)
                               )
    return json.loads(response.content.decode("utf-8"))

def ner(input):
    output = get_completion(input, parameters=None, ENDPOINT_URL=API_URL)

    # Convert the output entities into the required format for Gradio
    entities = []
    for entity_data in output:
        entity = {
            "start": entity_data["start"],
            "end": entity_data["end"],
            "entity": entity_data["entity_group"]
        }
        entities.append(entity)

    output = {"text": input, "entities": entities}
    return output

gr.close_all()
demo = gr.Interface(fn=ner,
                    inputs=[gr.Textbox(label="Skriv innen tekst å finne entiteter i teksten", lines=2)],
                    outputs=[gr.HighlightedText(label="Entiteter i teksten")],
                    title="Entitetsgjenkjenning med dslim/bert-base-NER",
                    description="Finn entiteter ved bruk av `dslim/bert-base-NER` modellen!",
                    allow_flagging="never",
                    #Here we introduce a new tag, examples, easy to use examples for your application
                    examples=["Mitt navn er Preben, jeg jobber i Nordea Liv og bor i Bergen",
                              "My name is Jake, I work at Nordea Liv and live in Bergen"])
demo.launch()