this

app.py

@@ -1,12 +1,20 @@
 import streamlit as st
 import os
-from pymongo import MongoClient
+from transformers import pipeline
+# from pymongo import MongoClient
 
-uri = os.environ["MONGO_CONNECTION_STRING"]
-client = MongoClient(uri, tlsCertificateKeyFile = "database/cert.pem")
-db = client["testing"]
-col = db["new"]
 
-xyz = {"This is new code678"}
-col.insert_one(xyz)
+# uri = os.environ["MONGO_CONNECTION_STRING"]
+# client = MongoClient(uri, tlsCertificateKeyFile = "database/cert.pem")
+# db = client["testing"]
+# col = db["new"]
 
+# xyz = {"This is new code678"}
+# col.insert_one(xyz)
+
+token_classifier = pipeline(model="Jean-Baptiste/camembert-ner", aggregation_strategy="simple")
+if ner := st.chat_input("query "):
+    ans = token_classifier(ner)
+    with st.chat_message("User"):
+        st.write(ans)
+        

requirements.txt

@@ -1,3 +1,2 @@
 streamlit
-pymongo
-dnspython
+transformers[torch]