Spaces:
Runtime error
Runtime error
File size: 1,898 Bytes
93d8b63 f63c480 949eaba 93d8b63 f63c480 93d8b63 b10c901 93d8b63 f63c480 93d8b63 5230299 93d8b63 b10c901 93d8b63 b10c901 93d8b63 7385882 93d8b63 7385882 93d8b63 7385882 93d8b63 b10c901 93d8b63 7385882 93d8b63 949eaba |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
import gradio as gr
from openai import OpenAI
from deep_translator import GoogleTranslator
import os
# Initialize OpenAI client
client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
def translate_text(text, target_lang):
translator = GoogleTranslator(source='auto', target=target_lang)
return translator.translate(text)
def get_llm_response(prompt):
response = client.chat.completions.create(
model="gpt-4-0125-preview",
messages=[
{"role": "system", "content": "You are a helpful assistant that provides informative and concise responses."},
{"role": "user", "content": prompt}
],
max_tokens=150
)
return response.choices[0].message.content.strip()
def process_input(input_text, output_lang):
# Translate input to English
english_query = translate_text(input_text, "en")
# Get response from LLM
llm_response = get_llm_response(english_query)
# Translate LLM response to desired output language
final_response = translate_text(llm_response, output_lang)
return input_text, english_query, llm_response, final_response
# Gradio interface
# Gradio interface
iface = gr.Interface(
fn=process_voice_or_text,
inputs=[
gr.Audio(type="filepath", label="Voice Input (Tamil or English)"),
gr.Textbox(label="Text Input (Tamil or English)", placeholder="Type your input here..."),
gr.Radio(["ta", "en"], label="Output Language")
],
outputs=[
gr.Textbox(label="Original Input"),
gr.Textbox(label="Translated English Query"),
gr.Textbox(label="LLM Response (English)"),
gr.Textbox(label="Final Response (Tamil/English)")
],
live=True,
title="Nisha - Tamil-English Voice Assistant",
description="Speak or type in Tamil or English, and get responses in your preferred language!"
)
iface.launch()
|