Update app.py

app.py

@@ -41,7 +41,6 @@ Answer in french only
         
 {context}
 Vous devez répondre aux questions en français.
-
 ### QUESTION:
 {question}
 [/INST]
@@ -61,7 +60,7 @@ prompt = PromptTemplate(
     template=prompt_template,
 )
 
-# Create llm chain
+# Create LLM chain
 llm_chain = LLMChain(llm=mistral_llm, prompt=prompt)
 
 # Create RetrievalQA chain
@@ -95,13 +94,6 @@ st.markdown("""
     .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;
@@ -109,52 +101,33 @@ st.markdown("""
     </style>
     """, unsafe_allow_html=True)
 
-# Centrer et colorer en orange foncé le texte spécifique
+# Use CSS classes to style the text
+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 📨")
-
-import streamlit as st
-import gspread
-from oauth2client.service_account import ServiceAccountCredentials
-import json
-
-# Load Google service account credentials from Hugging Face secrets
-GOOGLE_SERVICE_ACCOUNT_JSON = st.secrets["GOOGLE_SERVICE_ACCOUNT_JSON"]
-
-# Google Sheets API v4 setup
-scope = ["https://www.googleapis.com/auth/spreadsheets", "https://www.googleapis.com/auth/drive"]
-service_account_info = json.loads(GOOGLE_SERVICE_ACCOUNT_JSON)
-creds = ServiceAccountCredentials.from_json_keyfile_dict(service_account_info, scope)
-client = gspread.authorize(creds)
-sheet = client.open("users feedback").sheet1  # Replace with your Google Sheet name
-
-# Function to save user feedback to Google Sheets
-def save_feedback(user_input, bot_response, rating, comment):
-    feedback = [user_input, bot_response, rating, comment]
-    sheet.append_row(feedback)
-
-# Streamlit app layout
-
-
-user_input = st.text_input("You:")
-bot_response = "This is a bot response."  # Replace this with your chatbot's response logic
-
-st.markdown("### Rate the response:")
-rating = st.selectbox("", [1, 2, 3, 4, 5])
-
-st.markdown("### Leave a comment:")
-comment = st.text_area("")
-
-if st.button("Submit"):
-    if user_input.strip() and comment.strip():
-        save_feedback(user_input, bot_response, rating, comment)
-        st.success("Thank you for your feedback!")
-    else:
-        st.warning("Please provide both input and comment.")
-
-st.markdown("---")
-st.markdown("Collaboration is the key to success. Each question finds its answer, each challenge becomes an opportunity.")
-
+with st.form(key='interaction_form'):
+    user_input = st.text_input("You:", key="user_input")
+    submit_button = st.form_submit_button("Ask 📨")
+
+    if submit_button and user_input.strip():
+        bot_response = chatbot_response(user_input)
+        st.markdown("### Bot:")
+        st.text_area("", value=bot_response, height=600)
+
+        # Feedback form
+        st.markdown("### Rate the response:")
+        rating = st.slider("Select a rating:", min_value=1, max_value=5, value=1, key="rating")
+
+        st.markdown("### Leave a comment:")
+        comment = st.text_area("", key="comment")
+
+        # Feedback submission
+        feedback_submit_button = st.form_submit_button("Submit Feedback")
+
+        if feedback_submit_button:
+            if comment.strip():
+                save_feedback(user_input, bot_response, rating, comment)
+                st.success("Thank you for your feedback!")
+            else:
+                st.warning("⚠️ Please provide a comment.")