Update prompt

app.py

@@ -15,23 +15,32 @@ def respond(
 ):
     matching_docs = db.similarity_search(message)
 
-    context = ""
-    current_length = 0
-    for i, doc in enumerate(matching_docs):
-        doc_text = f"Document {i + 1}:\n{doc.page_content}\n\n"
-        doc_length = len(doc_text.split())
-        context += doc_text
-        current_length += doc_length
-
-    prompt = (
-        f"You are an expert in summarizing and answering questions based on given documents. "
-        f"You're an expert in English grammar at the same time. "
-        f"This means that your texts are flawless, correct and grammatically correct."
-        f"Please provide a detailed and well-explained answer to the following query in 4-6 sentences:\n\n"
-        f"Query: {message}\n\n"
-        f"Based on the following documents:\n{context}\n\n"
-        f"Answer:"
-    )
+    if not matching_docs:
+        prompt = (
+            f"You are an expert in generating responses when there is no information available. "
+            f"Unfortunately, there are no relevant documents available to answer the following query:\n\n"
+            f"Query: {message}\n\n"
+            f"Please provide a polite and original response to inform the user that the requested information is not "
+            f"available."
+        )
+    else:
+        context = ""
+        current_length = 0
+        for i, doc in enumerate(matching_docs):
+            doc_text = f"Document {i + 1}:\n{doc.page_content}\n\n"
+            doc_length = len(doc_text.split())
+            context += doc_text
+            current_length += doc_length
+
+        prompt = (
+            f"You are an expert in summarizing and answering questions based on given documents. "
+            f"You're an expert in English grammar at the same time. "
+            f"This means that your texts are flawless, correct and grammatically correct."
+            f"Please provide a detailed and well-explained answer to the following query in 4-6 sentences:\n\n"
+            f"Query: {message}\n\n"
+            f"Based on the following documents:\n{context}\n\n"
+            f"Answer:"
+        )
 
     response = client.text_generation(
         prompt,