clean sidebar + scoring

.streamlit/config.toml

@@ -0,0 +1,2 @@
+[client]
+showSidebarNavigation = false

app.py

@@ -7,9 +7,11 @@ from categories.accuracy import *
 from categories.fluency import *
 import random
 
-# Set the sidebar title
-st.sidebar.title("DE-EN")
+from modules.nav import Navbar
 
+Navbar()
+
+# Load translations from a JSON file to be used by the bot
 def load_translations():
     try:
         with open("./translations.json", "r") as f:
@@ -18,9 +20,11 @@ def load_translations():
         print(e)
         return None
 
+
 if "translations" not in st.session_state:
     st.session_state.translations = load_translations()
 
+
 def response_generator(prompt):
     source = st.session_state.german
     acc = accuracy(source, prompt)
@@ -29,6 +33,10 @@ def response_generator(prompt):
 
     total_score = 0.5 * acc["score"] + 0.2 * gre["score"] + 0.3 * ppl["score"]
 
+    if "scores" not in st.session_state:
+        st.session_state.scores = []
+    st.session_state.scores.append(total_score)
+
     response = "Your total translation score is: " + str(total_score) + "\n"
 
     acc_s = acc["score"]
@@ -36,14 +44,14 @@ def response_generator(prompt):
 
     for error in acc["errors"]:
         response += f" - {error['message']}\n"
-    
+
     gre_s = gre["score"]
     ppl_s = ppl["score"]
     response += f"\nYour fluency score is {0.4 * gre_s + 0.6 * ppl_s}:\n"
 
     for error in gre["errors"]:
         response += f" - {error['message']}\n"
-    
+
     for error in ppl["errors"]:
         response += f" - {error['message']}\n"
 
@@ -65,7 +73,6 @@ def translation_generator():
         st.error("No translations available.")
         return
 
-
     message = (
         f"Please translate the following sentence into English:"
         f" {st.session_state.german}"
@@ -80,8 +87,6 @@ def translation_generator():
         yield "\n"
 
 
-st.title("Translation bot")
-
 # Initialize chat history
 if "messages" not in st.session_state:
     st.session_state.messages = [
@@ -103,7 +108,9 @@ if "translations" not in st.session_state:
     except (FileNotFoundError, json.JSONDecodeError):
         st.session_state.translations = None
         # Create an empty translations dictionary if none exists
-        st.error("No previous translations found. Starting with an empty translation history.")
+        st.error(
+            "No previous translations found. Starting with an empty translation history."
+        )
 
 # Display chat messages from history on app rerun
 for message in st.session_state.messages:

modules/nav.py

@@ -0,0 +1,15 @@
+import streamlit as st
+
+def Navbar():
+    with st.sidebar:
+        st.title("Der Roboterlehrer")
+        st.markdown("### Translation Bots")
+        st.page_link('app.py', label='German to English', icon="🇩🇪")
+        st.page_link('pages/to_german.py', label='English to German', icon="🇬🇧")
+        st.markdown("### Analysis")
+        st.page_link('pages/scoring.py', label='Score Analysis', icon="📊")
+        st.divider()
+        st.markdown("### About")
+        st.markdown(
+            "This app is a translation bot that helps you practice your language skills. It uses machine learning models to evaluate your translations and provide feedback."
+        )

pages/scoring.py

@@ -0,0 +1,28 @@
+import streamlit as st
+import numpy as np
+import pandas as pd
+
+from modules.nav import Navbar
+
+Navbar()
+
+# Set page title
+st.title("Score Analysis")
+
+# Initialize session state for scores if it doesn't exist
+if 'scores' not in st.session_state:
+    st.session_state.scores = []
+
+# Display scores if they exist
+if st.session_state.scores:
+    # Calculate average
+    average_score = np.mean(st.session_state.scores)
+
+    if average_score > 90:
+        st.balloons()
+    
+    # Display the average
+    st.header("Score Results")
+    st.metric(label="Average Score", value=f"{average_score:.2f}")
+else:
+    st.info("No scores have been entered yet. Please chat with the bot first!")