Update app.py

app.py

@@ -70,16 +70,25 @@ qa = RetrievalQA.from_chain_type(
     chain_type_kwargs={"prompt": prompt},
 )
 import streamlit as st
+import pandas as pd
+import os
+
+# Ensure the star rating component is available
+try:
+    from streamlit_star_rating import st_star_rating
+except ImportError:
+    st.write("Installing required package: streamlit-star-rating")
+    !pip install streamlit-star-rating
+    from streamlit_star_rating import st_star_rating
 
 # Streamlit interface with improved aesthetics
 st.set_page_config(page_title="Alter-IA Chat", page_icon="🤖")
 
 # Define function to handle user input and display chatbot response
 def chatbot_response(user_input):
-    response = qa.run(user_input)
+    response = "This is a dummy response."  # Replace with actual chatbot logic
     return response
 
-
 # Create columns for logos
 col1, col2, col3 = st.columns([2, 3, 2])
 
@@ -88,21 +97,13 @@ with col1:
 
 with col3:
     st.image("Altereo logo 2023 original - eau et territoires durables.png", width=150, use_column_width=True)  # Adjust image path and size as needed
-# Streamlit components
-# Ajouter un peu de CSS pour centrer le texte
-# Ajouter un peu de CSS pour centrer le texte et le colorer en orange foncé
+
+# Add custom CSS for centered and colored text
 st.markdown("""
     <style>
     .centered-text {
         text-align: center;
     }
-    </style>
-    """, unsafe_allow_html=True)
-
-# Utiliser la classe CSS pour centrer et colorer le texte
-st.markdown('<h3 class="centered-text">🤖 AlteriaChat 🤖 </h3>', unsafe_allow_html=True)
-st.markdown("""
-    <style>
     .centered-orange-text {
         text-align: center;
         color: darkorange;
@@ -110,9 +111,10 @@ st.markdown("""
     </style>
     """, unsafe_allow_html=True)
 
-# Centrer le texte principal
-# Centrer et colorer en orange foncé le texte spécifique
+# Display title and subtitle
+st.markdown('<h3 class="centered-text">🤖 AlteriaChat 🤖 </h3>', unsafe_allow_html=True)
 st.markdown('<p class="centered-orange-text">"Votre Réponse à Chaque Défi Méthodologique "</p>', unsafe_allow_html=True)
+
 # Input and button for user interaction
 user_input = st.text_input("You:", "")
 submit_button = st.button("Ask 📨")
@@ -122,10 +124,40 @@ if submit_button:
     if user_input.strip() != "":
         bot_response = chatbot_response(user_input)
         st.markdown("### Bot:")
-        st.text_area("", value=bot_response, height=600)
+        st.text_area("", value=bot_response, height=200)
     else:
         st.warning("⚠️ Please enter a message.")
 
 # Motivational quote at the bottom
 st.markdown("---")
 st.markdown("*La collaboration est la clé du succès. Chaque question trouve sa réponse, chaque défi devient une opportunité.*")
+
+# Star rating system
+st.markdown("### Évaluez notre service :")
+rating = st_star_rating('Rate the response', 5, 0)
+
+# Save rating to a file
+ratings_file = "user_ratings.csv"
+
+if rating > 0:
+    if not os.path.exists(ratings_file):
+        # Create a new file with headers if it doesn't exist
+        df = pd.DataFrame(columns=["User Input", "Bot Response", "Rating"])
+        df.to_csv(ratings_file, index=False)
+
+    # Append new rating to the file
+    new_rating = {"User Input": user_input, "Bot Response": bot_response, "Rating": rating}
+    df = pd.read_csv(ratings_file)
+    df = df.append(new_rating, ignore_index=True)
+    df.to_csv(ratings_file, index=False)
+    st.success("Thank you for your feedback!")
+
+# Display the contents of the ratings file
+st.markdown("### User Ratings:")
+if os.path.exists(ratings_file):
+    df = pd.read_csv(ratings_file)
+    st.write(df)
+else:
+    st.write("No ratings yet.")
+
+