Update app.py

app.py

@@ -1,27 +1,53 @@
+# Import required libraries
 from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
 from transformers import MBartForConditionalGeneration, MBart50Tokenizer
 import gradio as gr
 import requests
 import io
 from PIL import Image
+import os  # Import os to access environment variables
 
+# Install necessary packages (Google Colab-specific; ignore if running in another environment)
 !pip install torch --upgrade
+!pip install gradio
 !pip install transformers
-!pip install sentencepiece
-!pip install huggingface_hub
-!pip install gradio --upgrade
-!pip install diffusers
 !pip install pillow
 
-
-# Load Facebook's mbart-large-50 model and tokenizer
+# Load the models and tokenizers
 model_name = "facebook/mbart-large-50-many-to-one-mmt"
-…    fn=translate_and_generate_image,
+tokenizer = MBart50Tokenizer.from_pretrained(model_name)
+model = MBartForConditionalGeneration.from_pretrained(model_name)
+
+# Use the Hugging Face API key from environment variables
+API_URL = "https://api-inference.huggingface.co/models/ZB-Tech/Text-to-Image"
+headers = {"Authorization": f"Bearer {os.getenv('HF_API_KEY')}"}
+
+# Define the function to translate Tamil text and generate an image
+def translate_and_generate_image(tamil_text):
+    # Step 1: Translate Tamil text to English
+    tokenizer.src_lang = "ta_IN"
+    inputs = tokenizer(tamil_text, return_tensors="pt")
+    translated_tokens = model.generate(**inputs, forced_bos_token_id=tokenizer.lang_code_to_id["en_XX"])
+    translated_text = tokenizer.batch_decode(translated_tokens, skip_special_tokens=True)[0]
+
+    # Step 2: Use the translated English text to generate an image
+    def query(payload):
+        response = requests.post(API_URL, headers=headers, json=payload)
+        return response.content
+
+    image_bytes = query({"inputs": translated_text})
+    image = Image.open(io.BytesIO(image_bytes))
+
+    return translated_text, image
+
+# Gradio interface setup
+iface = gr.Interface(
+    fn=translate_and_generate_image,
     inputs=gr.Textbox(lines=2, placeholder="Enter Tamil text here..."),
     outputs=[gr.Textbox(label="Translated English Text"), gr.Image(label="Generated Image")],
     title="Tamil to English Translation and Image Generation",
     description="Translate Tamil text to English using Facebook's mbart-large-50 model and generate an image using the translated text as the prompt.",
 )
 
-# Launch Gradio app with shareable link
-iface.launch(share=True)
+# Launch Gradio app with a shareable link
+iface.launch(share=True)