Update app.py

app.py

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+"""
+Author: Rajanikanta Mohapatra
+Date: 01-04-2024
+
+Description: This Streamlit app generates captions for uploaded images using a finetuned BLIP model.
+"""
+
+# Import necessary libraries
+import streamlit as st
+from transformers import AutoProcessor, BlipForConditionalGeneration
+from PIL import Image
+import os
+
+# Set custom web page title and icon
+st.set_page_config(page_title="Caption Generator App", page_icon="📷")
+
+# Create a folder to save the model if it doesn't exist
+saved_folder_path = "saved_model"
+if not os.path.exists(saved_folder_path):
+    os.mkdir(saved_folder_path)
+
+# Load  processor and model
+processor = AutoProcessor.from_pretrained(saved_folder_path)
+model = BlipForConditionalGeneration.from_pretrained(saved_folder_path)
+
+
+# Function to generate caption for the provided image
+def generate_caption(image_path, target_size=(224, 224)):
+    """
+    Generates a caption for the provided image.
+
+    Parameters:
+    - image_path (str): Path to the image file.
+    - target_size (tuple): Desired size for the image (default is (224, 224)).
+
+    Returns:
+    - generated_caption (str): Generated caption for the image.
+    """
+    # Process the image
+    image = Image.open(image_path)
+    image = image.resize(target_size)
+    inputs = processor(images=image, return_tensors="pt")
+    pixel_values = inputs.pixel_values
+    generated_ids = model.generate(pixel_values=pixel_values, max_length=50)
+    generated_caption = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
+    return generated_caption
+
+
+# Streamlit app
+st.title("Image Caption Generator Using BLIP")
+st.markdown(
+    "Upload an image, and this app will generate a caption for it using a finetuned BLIP model."
+)
+
+# Upload image
+uploaded_image = st.file_uploader("Choose an image", type=["jpg", "jpeg", "png"])
+
+# Process uploaded image and generate caption
+if uploaded_image is not None:
+    st.subheader("Uploaded Image")
+    st.image(uploaded_image, caption='Uploaded Image', use_column_width=True)
+    st.subheader("Generated Caption")
+    try:
+        generated_caption = generate_caption(uploaded_image)
+        st.write("Generated Caption:", generated_caption)
+    except Exception as e:
+        st.error(f"Error occurred: {e}")
+
+