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import os
import torch
from transformers import MarianMTModel, MarianTokenizer
import google.generativeai as genai
from huggingface_hub import InferenceApi, login
import gradio as gr
# Load API key from environment variable
os.environ["API_KEY"] = os.getenv("GOOGLE_API_KEY") # Set your API key in your environment variables
genai.configure(api_key=os.environ["API_KEY"])
# Load Hugging Face token from environment variable
hf_token = os.getenv("HF_TOK") # Set your Hugging Face token in your environment variables
login(hf_token) # Log in using the Hugging Face token
diffusion_model = InferenceApi(repo_id="black-forest-labs/FLUX.1-schnell")
model = genai.GenerativeModel("gemini-1.5-flash")
# Load the pre-trained model for Tamil to English translation
translator_model_name = "Helsinki-NLP/opus-mt-mul-en"
tokenizer = MarianTokenizer.from_pretrained(translator_model_name)
translator = MarianMTModel.from_pretrained(translator_model_name)
def translate_text(tamil_text):
# Translate Tamil to English
inputs = tokenizer(tamil_text, return_tensors="pt", padding=True)
translated = translator.generate(**inputs)
return tokenizer.decode(translated[0], skip_special_tokens=True)
def generate_creative_writing(english_text):
# Generate creative writing
return model.generate_content("poem about" + english_text).text
def generate_image(prompt):
# Make an inference request to generate an image
response = diffusion_model(inputs=prompt, params={"guidance_scale": 7.5, "num_inference_steps": 50})
return response # Ensure this is the correct format
def process_input(tamil_text):
try:
translated_text = translate_text(tamil_text)
creative_response = generate_creative_writing(translated_text)
generated_image = generate_image(translated_text)
return translated_text, creative_response, generated_image
except Exception as e:
return str(e), "Error occurred during processing", None
# Create a Gradio interface
iface = gr.Interface(
fn=process_input,
inputs="text",
outputs=["text", "text", "image"],
title="Creative Writing and Image Generation",
description="Enter Tamil text to get translated text, a creative response, and an image."
)
# Launch the Gradio app
iface.launch()
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