Update app.py

app.py

@@ -206,33 +206,27 @@ def create_collection_name(filepath):
     print('Collection name: ', collection_name)
     return collection_name
 
-# Inizializzazione database
+# Initialize database
 def initialize_database(list_file_obj, chunk_size, chunk_overlap, progress=gr.Progress()):
-    # Check if a database already exists
-    try:
-        # Delete the existing database
-        chromadb.delete()
-        print("Existing database deleted successfully.")
-    except Exception as e:
-        print(f"Error deleting existing database: {str(e)}")
-
+    # Delete the existing database
+    chromadb.delete()
+    print("Existing database deleted successfully.")
     # Create list of documents (when valid)
     list_file_path = [x.name for x in list_file_obj if x is not None]
-    
     # Create collection_name for vector database
-    progress(0.1, desc="Creazione collection name...")
+    progress(0.1, desc="Creating collection name...")
     collection_name = create_collection_name(list_file_path[0])
-    progress(0.25, desc="Caricamento documenti..")
-    
+    progress(0.25, desc="Loading document...")
     # Load document and create splits
     doc_splits = load_doc(list_file_path, chunk_size, chunk_overlap)
-    
     # Create or load vector database
-    progress(0.5, desc="Generating vector database...")
+    progress(0.5, desc="Generazione vector database...")
+    # global vector_db
     vector_db = create_db(doc_splits, collection_name)
-    progress(0.9, desc="Fatto!")
+    progress(0.9, desc="Done!")
     return vector_db, collection_name, "Completato!"
 
+
 def initialize_LLM(llm_option, llm_temperature, max_tokens, top_k, vector_db, progress=gr.Progress()):
     # print("llm_option",llm_option)
     llm_name = list_llm[llm_option]
@@ -326,7 +320,7 @@ def demo():
                     label="LLM models", value = list_llm_simple[0], type="index", info="Scegli il tuo modello LLM")
             with gr.Accordion("Advanced options - LLM model", open=False):
                 with gr.Row():
-                    slider_temperature = gr.Slider(minimum = 0.01, maximum = 1.0, value=0.7, step=0.1, label="Temperature", info="Model temperature", interactive=True)
+                    slider_temperature = gr.Slider(minimum = 0.01, maximum = 1.0, value=0.3, step=0.1, label="Temperature", info="Model temperature", interactive=True)
                 with gr.Row():
                     slider_maxtokens = gr.Slider(minimum = 224, maximum = 4096, value=1024, step=32, label="Max Tokens", info="Model max tokens", interactive=True)
                 with gr.Row():