name updated

app.py

@@ -2,6 +2,7 @@ import base64
 import io
 import json
 import os
+import string
 from typing import Any, Dict, List
 
 import chromadb
@@ -120,7 +121,7 @@ def main():
         if api_key:
             # Make API call
             st.success("Running Gemini!")
-            with st.spinner('Wait for it...'):
+            with st.spinner("Wait for it..."):
                 response = call_gemini_api(image_base64, api_key)
 
             with st.expander("Raw output from Gemini"):
@@ -221,11 +222,22 @@ def main():
             token_split_texts += token_splitter.split_text(text)
         st.success("Tokenized successfully.")
 
+        # Generate a random number between 1 billion and 10 billion.
+        random_number: int = np.random.randint(low=1e9, high=1e10)
+
+        # Generate a random string consisting of 10 uppercase letters and digits.
+        random_string: str = "".join(
+            np.random.choice(list(string.ascii_uppercase + string.digits), size=10)
+        )
+
+        # Combine the random number and random string into one identifier.
+        combined_string: str = f"{random_number}{random_string}"
+
         # Add to vector database
         embedding_function = SentenceTransformerEmbeddingFunction()
         chroma_client = chromadb.Client()
         chroma_collection = chroma_client.create_collection(
-            "tmp", embedding_function=embedding_function
+            combined_string, embedding_function=embedding_function
         )
         ids = [str(i) for i in range(len(token_split_texts))]
         chroma_collection.add(ids=ids, documents=token_split_texts)