revised app.py

app.py

@@ -80,6 +80,17 @@ def ensure_complete_sentences(text):
         return ' '.join(sentences).strip()
     return text  # Return as is if no complete sentence is found
 
+# Function to check if input is valid
+def is_valid_input(text):
+    """
+    Checks if the input text is meaningful.
+    Returns True if the text contains alphabetic characters.
+    """
+    if not text or text.strip() == "":
+        return False
+    # Regex to check for at least one alphabetic character
+    return bool(re.search('[A-Za-z]', text))
+
 # Initialize the LLM using ChatGroq with GROQ's API
 def initialize_llm(model, temperature, max_tokens):
     try:
@@ -154,8 +165,11 @@ def create_rag_pipeline(file_paths, model, temperature, max_tokens):
         logger.error(f"Error creating RAG pipeline: {e}")
         return None, f"Error creating RAG pipeline: {e}"
 
-# Function to answer questions with post-processing
+# Function to answer questions with input validation and post-processing
 def answer_question(file_paths, model, temperature, max_tokens, question):
+    if not is_valid_input(question):
+        return "Please provide a valid question or input containing meaningful text."
+
     rag_chain, message = create_rag_pipeline(file_paths, model, temperature, max_tokens)
     if rag_chain is None:
         return message