Create app.py

app.py

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+import gradio as gr
+from PIL import Image
+from transformers import BlipProcessor, BlipForConditionalGeneration
+import torch
+
+# Load model and processor
+processor = BlipProcessor.from_pretrained(
+    "Salesforce/blip-image-captioning-base"
+)
+model = BlipForConditionalGeneration.from_pretrained(
+    "Salesforce/blip-image-captioning-base"
+)
+
+def generate_alt_text(image: Image.Image):
+    if image is None:
+        return ""
+
+    inputs = processor(image, return_tensors="pt")
+
+    with torch.no_grad():
+        output = model.generate(
+            **inputs,
+            max_new_tokens=50
+        )
+
+    caption = processor.decode(
+        output[0],
+        skip_special_tokens=True
+    )
+
+    alt_text = f"Alt text: {caption.capitalize()}."
+
+    return alt_text
+
+# Gradio UI
+with gr.Blocks(title="Alt Text Generator") as demo:
+    gr.Markdown("""
+    # 🖼️ Alt Text Generator
+    Upload an image and instantly generate SEO-friendly and accessibility-ready alt text.
+    """)
+
+    with gr.Row():
+        image_input = gr.Image(
+            type="pil",
+            label="Upload Image"
+        )
+
+        alt_text_output = gr.Textbox(
+            label="Generated Alt Text",
+            lines=4,
+            placeholder="Your alt text will appear here..."
+        )
+
+    generate_btn = gr.Button("Generate Alt Text 🚀")
+
+    generate_btn.click(
+        fn=generate_alt_text,
+        inputs=image_input,
+        outputs=alt_text_output
+    )
+
+    gr.Markdown("""
+    ### ✅ How to use
+    - Upload an image
+    - Click **Generate Alt Text**
+    - Copy & paste into your website's `<img alt="">` attribute
+    """)
+
+demo.launch()