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from transformers import pipeline
Step 1: Load the pre-trained model
image_to_text_pipeline = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")
Step 2: Get the uploaded image file path
uploaded_files = get_uploaded_files() if not uploaded_files: print("Please upload an image file.") else: image_path = uploaded_files[0] # Assuming only one image is uploaded
# Step 3: Test the model by providing the uploaded image
generated_text = image_to_text_pipeline(image_path)
# Step 4: Print the generated text
print("Generated Text:", generated_text)
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