Update app.py

app.py

@@ -23,9 +23,9 @@ from openai import OpenAI
 from langchain_community.embeddings import OpenAIEmbeddings
 from langchain_community.vectorstores import Chroma
 from langchain_community.chat_models import ChatOpenAI
-from langchain_classic.prompts import PromptTemplate
-from langchain_classic.chains import LLMChain
-from langchain_classic.prompts import PromptTemplate
+from langchain.chains import LLMChain
+from langchain.prompts import PromptTemplate
+
 
 
 # ─── SETTINGS ────────────────────────────────────────────────────────────────────
@@ -94,14 +94,10 @@ openai_client = OpenAI(api_key=settings.OPENAI_API_KEY)
 async def moderate_content(text: str) -> bool:
     try:
         resp = openai_client.moderations.create(input=text)
-        # Allow if the API failed or if the model returns no result
-        if not resp.results:
-            return True
         return not resp.results[0].flagged
     except Exception as e:
-        logger.warning(f"Moderation check failed, allowing text. Error: {e}")
-        return True  # don't block on moderation errors
-
+        logger.error(f"Moderation error: {e}")
+        return False
 
 # ─── SESSION MANAGEMENT ──────────────────────────────────────────────────────────
 class SessionData(BaseModel):
@@ -311,5 +307,4 @@ async def get_session_history(session: SessionData = Depends(get_session)):
 if __name__ == "__main__":
     import uvicorn
     port = int(os.environ.get("PORT", 7860))
-    uvicorn.run("app:app", host="0.0.0.0", port=port, workers=4, log_level="info")
-    
+    uvicorn.run("app:app", host="0.0.0.0", port=port, workers=4, log_level="info")