import google.generativeai as genai
import gradio as gr

api_key = "AIzaSyCmmus8HFPLXskU170_FR4j2CQeWZBKGMY"

model = genai.GenerativeModel('gemini-pro')
genai.configure(api_key = api_key)

def get_response(feedback):
    
    try:
        #response = model.generate_content(f"State whether given response is positive, negative or neutral in one word: {feedback}")
        score = model.generate_content(f"Give me the polarity score between -1 to 1 for: {feedback}")
        issue = model.generate_content(f'Issues should be from ["Misconduct" , "Negligence" , "Discrimination" , "Corruption" , "Violation of Rights" , "Inefficiency" , "Unprofessional Conduct", "Response Time" , "Use of Firearms" , "Property Damage"]. Give me the issue faced by the feedback giver in less than four words: {feedback}')
        return [score.text, issue.text]
    except Exception as e:
        return [-2, "Offensive"]

iface = gr.Interface(
    fn = get_response,
    inputs = ["text"],
    outputs = ["text", "text"]
)
iface.launch(share=True)