this

auth.py

@@ -38,7 +38,7 @@ def login():
                 flag = True
                 st.experimental_rerun()
             else:
-                flag = False
+                flag = False 
         if flag == False:
             st.error("Invalid username or password")
             st.stop()

chat.py

@@ -16,7 +16,7 @@ def Chat():
     if ans["scores"][0] > 0.85:
         st.session_state["user"] = "visitor"
         with st.chat_message("assistant"):
-            "You are now sleeping in dream"
+            "You are now sleeping in dream" 
         st.experimental_rerun()
     else:
         with st.chat_message("assistant"):

convo.py

@@ -11,7 +11,7 @@ def convo():
 
 
     # candidate_labels = ["HELP", "PROBLEM SOLVE", "GENERAL TALK"]
-
+  
    
     ans = chatbot(conversation)
     # add_user_input = st.button("Add User Input")

home.py

@@ -21,7 +21,7 @@ def dashboard():
         "gfjfvjhvjhv"
     elif selected == "Chat":
         Chat()
-    elif selected == "Conversation":
+    elif selected == "Conversation": 
         convo()
     elif selected == "Logout":
         st.session_state["user"] = "visitor"

qa.py

@@ -0,0 +1,44 @@
+from transformers import pipeline
+import streamlit as st
+
+
+# def que():
+#     question = st.text_input("ASk me a question")
+
+#     oracle = pipeline(task= "question-answering",model="deepset/roberta-base-squad2")
+#     oracle(question="Where do I live?", context="My name is Wolfgang and I live in Berlin")
+
+
+def question_answering(question, context):
+    """Answers a question given a context."""
+
+    # Load the question answering model.
+
+
+    qa_model = pipeline("question-answering")
+
+
+    # Prepare the inputs for the model.
+    inputs = {
+        "question": question,
+        "context": context,
+    }
+
+    # Get the answer from the model.
+    output = qa_model(**inputs)
+    answer = output["answer_start"]
+
+    # Return the answer.
+    return context[answer : answer + output["answer_length"]]
+
+
+    if __name__ == "__main__": 
+        # Get the question and context.
+        question = "What is the capital of France?"
+        context = "The capital of France is Paris."
+
+        # Get the answer.
+        answer = question_answering(question, context)
+
+        # Print the answer.
+        print(answer)