redisp prompts

chat_te.py

@@ -62,6 +62,13 @@ def get_response(chain,user_query, chat_history):
 
     return chain.stream(question)
 
+@st.experimental_dialog("Cast your vote")
+def vote(item):
+    st.write(f"Why is {item} your favorite?")
+    reason = st.text_input("Because...")
+    if st.button("Submit"):
+        st.rerun()
+
 def display_chat_te():
     # app config
     st.title("Chatbot")
@@ -85,7 +92,26 @@ def display_chat_te():
             with st.chat_message("Moi"):
                 st.write(message.content)
 
-    # user input
+    style = """
+   <style>
+    .css-ocqkz7 {
+        position: fixed;
+        bottom: 0;
+        width: 50%;
+        justify-content: center;
+        align-items: end;
+        margin-bottom: 0.5rem;
+       }
+   </style>
+   """
+    # Inject the styling code for both elements
+    # st.markdown(style, unsafe_allow_html=True)
+
+    # # user input
+    # col1 , col2 = st.columns([1,8])
+    # if col1.button("chatbot"):
+    #     vote("chatbot")
+    # with col2:
     user_query = st.chat_input("Par ici...")
     if user_query is not None and user_query != "":
         st.session_state.chat_history_te.append(HumanMessage(content=user_query))

prompt.py

@@ -12,9 +12,11 @@ def get_prompts_list():
     if isinstance(prompts, list) and all(isinstance(i, dict) for i in prompts):
         # Create a DataFrame
         df = pd.DataFrame(prompts)
-
         # Check if 'name', 'context', and 'text' are in df columns
         if 'name' in df.columns and 'context' in df.columns and 'text' in df.columns:
+            # Filter prompts with id_context as 'rse' or 'transition'
+            df = df[df['id_context'].isin(['pour-accelerer-la-demarche-rse', 'pour-accelerer-la-demarche-transition-ecologique'])]
+
             # Extract 'name' from 'context' dictionary
             df['context'] = df['context'].apply(lambda x: x.get('name') if isinstance(x, dict) else x)
 
@@ -24,15 +26,19 @@ def get_prompts_list():
             # Group by 'context'
             grouped = df.groupby('context')
 
+            num = 1
+
             for name, group in grouped:
                 st.subheader(name)  # Display the context name as a subheader
                 for i, row in group.iterrows():
                     col1, col2, col3, col4 = st.columns((1, 2, 2, 1))
-                    col1.write(i)  # index
+                    col1.write(num)  # index
                     col2.write(row['name'])  # name
                     col3.write(row['text'])  # text
+                    num += 1
+                    
                     button_phold = col4.empty()  # create a placeholder
-                    do_action = button_phold.button('Show More', key=i)
+                    do_action = button_phold.button('Voir plus', key=i)
                     if do_action:
                         prompt_html = prompts[i]['text'].replace('\n', '<br>')
                         prompt_metadata = extract_metadata(prompts[i])