Create app.py

app.py

@@ -0,0 +1,25 @@
+# app.py
+
+from transformers import pipeline
+import gradio as gr
+
+# Load the image captioning pipeline
+pipe = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
+
+# Define the function that gets the caption
+def caption_image(image):
+    result = pipe(image)
+    return result[0]["generated_text"]
+
+# Build the Gradio interface
+interface = gr.Interface(
+    fn=caption_image,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="🖼️ BLIP Image Captioning",
+    description="Upload an image and get a caption using Salesforce's BLIP image captioning model."
+)
+
+# Launch the app
+if __name__ == "__main__":
+    interface.launch()