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import gradio as gr | |
from openai import OpenAI | |
import os | |
from transformers import pipeline | |
# from dotenv import load_dotenv, find_dotenv | |
import huggingface_hub | |
# _ = load_dotenv(find_dotenv()) # read local .env file | |
hf_token= os.environ['HF_TOKEN'] | |
huggingface_hub.login(hf_token) | |
pipe = pipeline("token-classification", model='elshehawy/fine-tuned-roberta-base-ner', aggregation_strategy="first") | |
llm_model = 'gpt-3.5-turbo-0125' | |
# openai.api_key = os.environ['OPENAI_API_KEY'] | |
client = OpenAI( | |
api_key=os.environ.get("OPENAI_API_KEY"), | |
) | |
def get_completion(prompt, model=llm_model): | |
messages = [{"role": "user", "content": prompt}] | |
response = client.chat.completions.create( | |
messages=messages, | |
model=model, | |
temperature=0, | |
) | |
return response.choices[0].message.content | |
def find_orgs(sentence, choice): | |
prompt = f""" | |
In context of named entity recognition (NER), find all organizations in the text delimited by triple backticks. | |
text: | |
``` | |
{sentence} | |
``` | |
You should always start your answer with "Organizations are: " | |
""" | |
if choice=='GPT': | |
return get_completion(prompt) | |
else: | |
message = 'Organizations are:' | |
org_list = [] | |
for ent in pipe(sentence): | |
if ent['entity_group'] == 'ORG' and ent['word'] not in org_list: | |
# message += f'\n- {ent["word"]} \t- score: {ent["score"]}' | |
message += f'\n- {ent["word"]}'# \t- score: {ent["score"]}' | |
org_list.append(ent['word']) | |
return message | |
example_1 = """\ | |
My latest exclusive for The Hill : Conservative frustration over Republican efforts to force a House vote on reauthorizing the Export - Import Bank boiled over Wednesday during a contentious GOP meeting. | |
""" | |
example_2 = """\ | |
Markets open in 4 hrs 3 mins Asia drops as commodities languish, loonie dips on Canada vote Reuters β 15 minutes ago A man holding an umbrella walks in front of an electronic stock quotation board outside a brokerage in β¦ By Shinichi Saoshiro TOKYO ( Reuters ) - Asian equities fell across the board on Tuesday after commodity prices languished in the wake of China growth woes and dampened risk sentiment, while the euro hovered near a 10 - day low ahead of a European Central Bank meeting that could open the door for more monetary easing. | |
""" | |
radio_btn = gr.Radio(choices=['GPT', 'iSemantics'], value='iSemantics', label='Available models', show_label=True) | |
textbox = gr.Textbox(label="Enter your text", placeholder="", lines=4) | |
iface = gr.Interface(fn=find_orgs, inputs=[textbox, radio_btn], outputs="text", examples=[[example_1], [example_2]]) | |
iface.launch(share=False) | |