app.py

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)