app.py

import gradio as gr
import openai
import langid
from googletrans import Translator

# Set up your OpenAI API credentials
openai.api_key = ''

# Initialize the translator
translator = Translator(service_urls=['translate.google.com'])

def translate_text(text, src_lang, dest_lang):
    translated_text = translator.translate(text, src=src_lang, dest=dest_lang).text
    return translated_text

def generate_answer(question):
    input_lang = langid.classify(question)[0]
    translated_question = translate_text(question, input_lang, 'en')
    prompt = f"Give me the correct answer for this physics question: {translated_question}"
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt,
        max_tokens=1025
    )
    output_completion = response.choices[0].text.strip()
    translated_output = translate_text(output_completion, 'en', input_lang)
    return translated_output

iface = gr.Interface(
    fn=generate_answer,
    inputs=["text"],
    outputs="text",
    title="Physics AI",
    description="Enter a physics question and get the correct answer.",
    examples=[
        ["What is the equation for calculating force?"],
        ["Define Newton's second law of motion."],
        ["What is the formula for calculating velocity?"],
    ]
)

iface.launch()