Create app.py

app.py

@@ -0,0 +1,98 @@
+import gradio as gr
+from transformers import MBartForConditionalGeneration, MBart50Tokenizer, AutoModelForCausalLM, AutoTokenizer, pipeline
+from diffusers import DiffusionPipeline
+import torch
+from PIL import Image
+
+# Load the Translation Model (MBART for Tamil to English Translation)
+model_name = "facebook/mbart-large-50-many-to-one-mmt"
+tokenizer = MBart50Tokenizer.from_pretrained(model_name)
+model = MBartForConditionalGeneration.from_pretrained(model_name)
+
+# Load the Text Generation Model (for generating a short paragraph)
+text_generation_model_name = "EleutherAI/gpt-neo-1.3B"
+text_tokenizer = AutoTokenizer.from_pretrained(text_generation_model_name)
+text_model = AutoModelForCausalLM.from_pretrained(text_generation_model_name)
+text_generator = pipeline("text-generation", model=text_model, tokenizer=text_tokenizer)
+
+# Load the Stable Diffusion XL Model for Image Generation
+pipe = DiffusionPipeline.from_pretrained(
+    "stabilityai/stable-diffusion-xl-base-1.0", 
+    torch_dtype=torch.float16,
+    variant="fp16",
+)
+pipe.to("cuda")  # Send the model to GPU for faster image generation
+
+# Function to generate image from text prompt using Stable Diffusion XL
+def generate_image_from_text(translated_text):
+    try:
+        print(f"Generating image from translated text: {translated_text}")
+        # Generate the image using the pipeline
+        image = pipe(prompt=translated_text).images[0]
+        print("Image generation completed.")
+        return image
+    except Exception as e:
+        print(f"Error during image generation: {e}")
+        return None
+
+# Function to generate a short paragraph from the translated text
+def generate_short_paragraph_from_text(translated_text):
+    try:
+        print(f"Generating a short paragraph from translated text: {translated_text}")
+        paragraph = text_generator(
+            translated_text, 
+            max_length=80,  # Reduced to 80 tokens
+            num_return_sequences=1, 
+            temperature=0.6, 
+            top_p=0.8,
+            truncation=True  # Added truncation to avoid long sequences
+        )[0]['generated_text']
+        print(f"Paragraph generation completed: {paragraph}")
+        return paragraph
+    except Exception as e:
+        print(f"Error during paragraph generation: {e}")
+        return f"Error during paragraph generation: {e}"
+
+# Function to translate Tamil text, generate a short paragraph, and create an image
+def translate_generate_paragraph_and_image(tamil_text):
+    # Step 1: Translate Tamil text to English using mbart-large-50
+    try:
+        print("Translating 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]
+        print(f"Translation completed: {translated_text}")
+    except Exception as e:
+        return f"Error during translation: {e}", "", None
+
+    # Step 2: Generate a shorter paragraph based on the translated English text
+    paragraph = generate_short_paragraph_from_text(translated_text)
+    if "Error" in paragraph:
+        return translated_text, paragraph, None
+
+    # Step 3: Generate an image using the translated English text with the new model
+    image = generate_image_from_text(translated_text)
+
+    return translated_text, paragraph, image
+
+# Define Gradio Interface
+def interface(tamil_text):
+    translated_text, paragraph, image = translate_generate_paragraph_and_image(tamil_text)
+    return translated_text, paragraph, image
+
+# Create Gradio Interface (with the image output)
+iface = gr.Interface(
+    fn=interface, 
+    inputs=gr.Textbox(lines=2, placeholder="Enter Tamil text here..."), 
+    outputs=[
+        gr.Textbox(label="Translated Text"),
+        gr.Textbox(label="Generated Paragraph"),
+        gr.Image(type="pil", label="Generated Image")
+    ],
+    title="Tamil Text Translation, Paragraph Generation, and Image Generation",
+    description="Input Tamil text, and this tool will translate it, generate a short paragraph, and create an image based on the translated text."
+)
+
+# Launch the Gradio app
+iface.launch()