import gradio as gr
import google.generativeai as palm
import os

api_key = os.environ("api_key")

palm.configure(api_key=api_key)

defaults = {
  'model': 'models/text-bison-001',
  'temperature': 0.7,
  'candidate_count': 1,
  'top_k': 40,
  'top_p': 0.95,
  'max_output_tokens': 1024,
  'stop_sequences': [],
  'safety_settings': [{"category":"HARM_CATEGORY_DEROGATORY","threshold":3},{"category":"HARM_CATEGORY_TOXICITY","threshold":3},{"category":"HARM_CATEGORY_VIOLENCE","threshold":3},{"category":"HARM_CATEGORY_SEXUAL","threshold":3},{"category":"HARM_CATEGORY_MEDICAL","threshold":3},{"category":"HARM_CATEGORY_DANGEROUS","threshold":3}] 

}

def chat(Sentences):
    response = palm.generate_text(
    **defaults,
    prompt=f"""Correct this sentences and correct the grammar. Do not add the quotation marks on your correction sentences: '{Sentences}'"""
    )
    return response.result

demo = gr.Interface(fn=chat, inputs=gr.Textbox(lines=10), outputs=gr.Textbox(lines=10), allow_flagging="never")

demo.launch(debug=True)