app.py

import os
import gradio as gr
from transformers import pipeline

print("done 1")

# Load models
try:
    base_model = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-base-en-sh")
    print("Base model loaded successfully.")
except Exception as e:
    print(f"Error loading base model: {e}")

try:
    fine_tuned_model_1 = pipeline("translation", model="perkan/shortS-opus-mt-tc-base-en-sr")
    print("Fine-tuned model S loaded successfully.")
except Exception as e:
    print(f"Error loading fine-tuned model S: {e}")

try:
    fine_tuned_model_2 = pipeline("translation", model="perkan/shortM-opus-mt-tc-base-en-sr")
    print("Fine-tuned model M loaded successfully.")
except Exception as e:
    print(f"Error loading fine-tuned model M: {e}")

try:
    fine_tuned_model_3 = pipeline("translation", model="perkan/shortL-opus-mt-tc-base-en-sr")
    print("Fine-tuned model L loaded successfully.")
except Exception as e:
    print(f"Error loading fine-tuned model L: {e}")

# Define translation functions
def translate_base(text):
    try:
        return base_model(text)[0]['translation_text']
    except Exception as e:
        return f"Error during translation: {e}"

def translate_fine_tuned(text, model):
    try:
        if model == 'S model':
            return fine_tuned_model_1(text)[0]['translation_text']
        elif model == 'M model':
            return fine_tuned_model_2(text)[0]['translation_text']
        elif model == 'L model':
            return fine_tuned_model_3(text)[0]['translation_text']
        else:
            return "Invalid model selected"
    except Exception as e:
        return f"Error during translation: {e}"

def translate_text(text, model):
    base_translation = translate_base(text)
    fine_tuned_translation = translate_fine_tuned(text, model)
    return base_translation, fine_tuned_translation

# Create Gradio interface
with gr.Blocks() as demo:
    gr.Markdown("# Translation Models\nTranslate text using base and fine-tuned models.")
    
    with gr.Row():
        text_input = gr.Textbox(placeholder="Enter text to translate", label="Input")
        model_select = gr.Dropdown(choices=["S model", "M model", "L model"], label="Select Fine-tuned Model")
        translate_btn = gr.Button("Translate")
    
    with gr.Row():
        base_output = gr.Textbox(label="Base Model Translation")
        fine_tuned_output = gr.Textbox(label="Fine-tuned Model Translation")
    
    translate_btn.click(translate_text, inputs=[text_input, model_select], outputs=[base_output, fine_tuned_output])

port = int(os.getenv("GRADIO_SERVER_PORT", "7861"))
demo.launch(server_port=port)