Create app.py

app.py

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+import streamlit as st
+from PIL import Image
+from transformers import CLIPProcessor, CLIPModel
+import os
+
+# Initialize Hugging Face Model
+processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")
+model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32")
+
+# Streamlit app layout
+st.title("AI Multimodal File Processing App")
+st.write("This app uses Hugging Face's CLIP model to analyze and edit image and text files.")
+
+# Option to upload an image
+st.subheader("Upload an Image")
+uploaded_image = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
+
+if uploaded_image is not None:
+    image = Image.open(uploaded_image)
+    st.image(image, caption="Uploaded Image", use_column_width=True)
+
+    text = st.text_input("Enter text for image description", "A picture of a cat")  # Default text
+
+    if st.button("Analyze Image"):
+        # Process the image with CLIP
+        inputs = processor(text=text, images=image, return_tensors="pt", padding=True)
+        outputs = model(**inputs)
+        
+        # Display the similarity score between text and image
+        logits_per_image = outputs.logits_per_image  # Similarity score
+        st.write(f"Similarity Score: {logits_per_image.item()}")
+        st.write(f"Description: {text}")
+
+# Option to upload a text file
+st.subheader("Upload a Text File")
+uploaded_textfile = st.file_uploader("Choose a text file...", type=["txt"])
+
+if uploaded_textfile is not None:
+    text_data = uploaded_textfile.read().decode('utf-8')
+    st.text_area("Text File Content", text_data, height=200)
+
+    if st.button("Process Text"):
+        # Example: Modify the text (e.g., convert to uppercase)
+        processed_text = text_data.upper()
+        st.write("Processed Text:")
+        st.text_area("Processed Text Output", processed_text, height=200)
+
+# Optional: File download button
+if uploaded_image is not None or uploaded_textfile is not None:
+    st.download_button("Download Processed File", data="Some file data here", file_name="processed_file.txt")
+