Create app.py

app.py

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+import streamlit as st
+from PIL import Image
+from transformers import CLIPProcessor, CLIPModel
+
+# Title of the Streamlit app
+st.title("Unlimited Image Details Chatbot")
+
+# Load the pre-trained Hugging Face CLIP model
+model_name = "openai/clip-vit-base-patch32"
+model = CLIPModel.from_pretrained(model_name)
+processor = CLIPProcessor.from_pretrained(model_name)
+
+# Multiple image upload
+uploaded_files = st.file_uploader("Upload images (You can upload multiple images):", type=["jpg", "jpeg", "png"], accept_multiple_files=True)
+
+if uploaded_files:
+    # Loop through each uploaded image
+    for uploaded_file in uploaded_files:
+        # Open image and display
+        image = Image.open(uploaded_file)
+        st.image(image, caption=f"Uploaded Image: {uploaded_file.name}", use_column_width=True)
+
+        # Process the uploaded image using CLIP
+        st.write("Processing the image...")
+        inputs = processor(images=image, text=["What is in this image?"], return_tensors="pt")
+        outputs = model(**inputs)
+
+        # Display a simple output (you can modify this for more detailed results)
+        st.write("Example Output: A motorcycle parked in an outdoor location during the day.")