Create image_generation.py

image_generation.py

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+from PIL import Image
+import torch
+from transformers import CLIPProcessor, CLIPModel
+
+def generate_image_from_text(prompt):
+    model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32")
+    processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")
+    
+    inputs = processor(text=[prompt], images=None, return_tensors="pt", padding=True)
+    outputs = model(**inputs)
+    
+    # Dummy image return (you can integrate real image generation later)
+    img = Image.new("RGB", (256, 256), color="blue")  # Just a placeholder image
+    return img