param changed

app.py

@@ -53,8 +53,8 @@ def call_Llama_api(query, context):
                 "content": "User Question: " + query + "\n\nRelevant Excerpt(s):\n\n" + context,
             }
         ],
-        temperature=0.7,
-        max_tokens=50,
+        temperature=0.6,
+        max_tokens=200,
         top_p=1,
         stream=False,
         stop=None,
@@ -128,12 +128,15 @@ def colbert_rerank(query=None, chunks=None):
     # ... (same as your original function)
     d = ranker.rank(query=query, docs=chunks)
     reranked_chunks = [d[i].text for i in range(len(chunks))]
-    return reranked_chunks[:10]
+    return reranked_chunks
 
 def process_query(query):
     # Use global variables
     global available_car_models, collection
 
+    print("Input Query:",query)
+    print(type(query))
+
     car_model = is_car_model_available(query, available_car_models)
     if not car_model:
         return "The manual for the specified car model is not present."
@@ -158,12 +161,19 @@ def process_query(query):
 
     answer = call_Llama_api(query, final_context)
 
+    last_complete = answer.rfind('.')
+    # last_newline = answer.rfind('\n')
+    # last_complete = max(last_period, last_newline)
+    
+    if last_complete != -1:
+        answer = answer[:last_complete + 1].strip()
+
     # Prepare citations
     citations = [
         f"Page {meta.get('page_number', 'N/A')}" for meta in metadatas[:5]
     ]
 
-    citations_text = "Citations:\n" + "\n".join(citations)
+    citations_text = "Pages cited from:\n" + "\n".join(citations)
 
     return f"{answer}\n\n{citations_text}"
 
@@ -192,7 +202,7 @@ def initialize():
     #         name=collection_name,
     #         embedding_function=embedding_function
     #     )
-    available_car_models = ['Tiago', 'Astor']
+    available_car_models = ['TIAGO', 'Astor']
         
     # else:
     collection = client.get_collection(