Update app.py

app.py

@@ -226,7 +226,21 @@ def get_table_download_link(file_path):
     return href
 
 
-
+@st.cache_resource
+def create_zip_of_files(files):
+    zip_name = "all_files.zip"
+    with zipfile.ZipFile(zip_name, 'w') as zipf:
+        for file in files:
+            zipf.write(file)
+    return zip_name
+    
+@st.cache_resource
+def get_zip_download_link(zip_file):
+    with open(zip_file, 'rb') as f:
+        data = f.read()
+    b64 = base64.b64encode(data).decode()
+    href = f'<a href="data:application/zip;base64,{b64}" download="{zip_file}">Download All</a>'
+    return href
 
 def FileSidebar():
     # ----------------------------------------------------- File Sidebar for Jump Gates ------------------------------------------
@@ -1043,23 +1057,6 @@ def divide_prompt(prompt, max_length):
     return chunks
 
     
-# 13. Provide way of saving all and deleting all to give way of reviewing output and saving locally before clearing it
-    
-@st.cache_resource
-def create_zip_of_files(files):
-    zip_name = "all_files.zip"
-    with zipfile.ZipFile(zip_name, 'w') as zipf:
-        for file in files:
-            zipf.write(file)
-    return zip_name
-    
-@st.cache_resource
-def get_zip_download_link(zip_file):
-    with open(zip_file, 'rb') as f:
-        data = f.read()
-    b64 = base64.b64encode(data).decode()
-    href = f'<a href="data:application/zip;base64,{b64}" download="{zip_file}">Download All</a>'
-    return href
 
 # 14. Inference Endpoints for Whisper (best fastest STT) on NVIDIA T4 and Llama (best fastest AGI LLM) on NVIDIA A10
 API_URL_IE = f'https://tonpixzfvq3791u9.us-east-1.aws.endpoints.huggingface.cloud'