Add requirements

app.py

@@ -92,8 +92,8 @@ def main():
     st.title("CLIP Image Search")
     model = load_model("clip-ViT-B-32")
     st.write("Select the mode to search for a match in Unsplash (thumbnail size) dataset. text2image mode needs a text as input and outputs the image with the most similar embedding (following cosine similarity). The Image to image mode is similar, but an input image is used instead of a text query")
-    emb_filename = Path("./unsplash-25k-photos-embeddings.pkl")
-    urls_file = "./photos.tsv000"
+    emb_filename = Path("unsplash-25k-photos-embeddings.pkl")
+    urls_file = "photos.tsv000"
     img_urls = load_image_url_list(urls_file)
     img_names, img_emb = load_embeddings(emb_filename)
     # Convert list of image names to a dict matching image IDs and their embedding index