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Update app.py
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app.py
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# Load text generation model and tokenizer
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device = "cuda" if torch.cuda.is_available() else "cpu"
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text_generation_model = AutoModelForCausalLM.from_pretrained("gpt2").to(device) # Move model to the correct device
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import os
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import io
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import requests
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import gradio as gr
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from groq import Groq
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from transformers import MarianMTModel, MarianTokenizer, AutoModelForCausalLM, AutoTokenizer
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from deep_translator import GoogleTranslator
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from PIL import Image, ImageDraw
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import joblib
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import time
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import torch
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import warnings
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from huggingface_hub import InferenceApi
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from diffusers import StableDiffusionPipeline
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# Load text generation model and tokenizer
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device = "cuda" if torch.cuda.is_available() else "cpu"
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text_generation_model = AutoModelForCausalLM.from_pretrained("gpt2").to(device) # Move model to the correct device
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