new_chatbot

chatbot.py

@@ -73,6 +73,8 @@ def keyword_in_post_or_comments(post, keyword):
 
 # Fetch and process Reddit data
 def fetch_reddit_data(keyword, days=7, limit=None):
+    print("Reddit Keys Check:", os.getenv("REDDIT_CLIENT_ID"), os.getenv("REDDIT_CLIENT_SECRET"))
+
     end_time = datetime.utcnow()
     start_time = end_time - timedelta(days=days)
     subreddit = reddit.subreddit("all")
@@ -105,7 +107,8 @@ def fetch_reddit_data(keyword, days=7, limit=None):
             "embedding": embedding,
             "metadata": metadata
         })
-    save_to_db(data)
+    if data:
+        save_to_db(data)
 
 # Save data into SQLite
 def save_to_db(posts):
@@ -177,7 +180,7 @@ Chat History:
 Context from Reddit and User Question:
 {input}
 
-Act as an Professional Assistant as incremental chat agent and also give reasioning and Answer clearly based on context and chat history, your response should be valid and concise, and relavant .
+Act as a Professional Assistant as an incremental chat agent. Provide reasoning and answer clearly based on the context and chat history. Your response should be valid, concise, and relevant.
 """)
 
 chat_chain = LLMChain(
@@ -194,5 +197,5 @@ def get_chatbot_response(question, keyword, reddit_id=None):
     if len(context) > 3000:
         context = summarize_chain.run({"context": context})
     combined_input = f"Context:\n{context}\n\nUser Question: {question}"
-    response = chat_chain.run({"input": combined_input})
-    return response, context_posts
+    response = chat_chain.invoke({"input": combined_input})
+    return response, context_posts