Update app.py

app.py

@@ -75,65 +75,51 @@ initialize()
 
 
 
-def bot_kadi(history):
-    user_query = history[-1][0]   
-    response = kadiAPY_bot.process_query(user_query)
-    history[-1] = (user_query, response)
-
-    yield history  
-
-
-
-# Gradio utils
-def check_input_text(text):
-    if not text:
-        gr.Warning("Please input a question.")
-        raise TypeError
-    return True
-
-def add_text(history, text):
-    history = history + [(text, None)]
-    yield history, ""
-
-
-import gradio as gr
+import streamlit as st
 
 def main():
-    with gr.Blocks() as demo:
-        gr.Markdown("## KadiAPY - AI Coding-Assistant")
-        gr.Markdown("AI assistant for KadiAPY based on RAG architecture powered by LLM")
-
-        with gr.Tab("KadiAPY - AI Assistant"):
-            with gr.Row():
-                with gr.Column(scale=10):
-                    chatbot = gr.Chatbot([], elem_id="chatbot", label="Kadi Bot", bubble_full_width=False, show_copy_button=True, height=600)
-                    user_txt = gr.Textbox(label="Question", placeholder="Type in your question and press Enter or click Submit")
-
-                    with gr.Row():
-                        with gr.Column(scale=1):
-                            submit_btn = gr.Button("Submit", variant="primary")
-                        with gr.Column(scale=1):
-                            clear_btn = gr.Button("Clear", variant="stop")
-
-                    gr.Examples(
-                        examples=[
-                            "Write me a python script with which can convert plain JSON to a Kadi4Mat-compatible extra metadata structure",
-                            "I need a method to upload a file to a record. The id of the record is 3",
-                        ],
-                        inputs=user_txt,
-                        outputs=chatbot,
-                        fn=add_text,
-                        label="Try asking...",
-                        cache_examples=False,
-                        examples_per_page=3,
-                    )
-
-            user_txt.submit(check_input_text, user_txt, None).success(add_text, [chatbot, user_txt], [chatbot, user_txt]).then(bot_kadi, [chatbot], [chatbot])
-            submit_btn.click(check_input_text, user_txt, None).success(add_text, [chatbot, user_txt], [chatbot, user_txt]).then(bot_kadi, [chatbot], [chatbot])
-            clear_btn.click(lambda: None, None, chatbot, queue=False)
-
-    demo.launch() 
+    st.set_page_config(page_title="KadiAPY - AI Coding-Assistant", layout="wide")
+
+    st.title("KadiAPY - AI Coding-Assistant")
+    st.markdown("AI assistant for KadiAPY based on RAG architecture powered by LLM")
+
+    tab1, tab2 = st.tabs(["KadiAPY - AI Assistant", "Try Asking"])
+
+    with tab1:
+        st.write("### Kadi Bot")
+        
+        if "chat_history" not in st.session_state:
+            st.session_state.chat_history = []
+        
+        # Chatbot
+        chatbot_placeholder = st.empty()
+        question = st.text_input("Question", placeholder="Type in your question and press Enter")
+        
+        if st.button("Submit"):
+            if question:
+                st.session_state.chat_history.append({"User": question})
+                response = bot_kadi(question)  # Replace `bot_kadi` with your response generation function
+                st.session_state.chat_history.append({"Kadi Bot": response})
+            
+        if st.button("Clear"):
+            st.session_state.chat_history = []
+        
+        for exchange in st.session_state.chat_history:
+            for speaker, text in exchange.items():
+                st.write(f"**{speaker}:** {text}")
+        
+    with tab2:
+        st.write("### Try Asking...")
+        examples = [
+            "Write me a python script which can convert plain JSON to a Kadi4Mat-compatible extra metadata structure",
+            "I need a method to upload a file to a record. The id of the record is 3",
+        ]
+        for example in examples:
+            st.write(f"- {example}")
+
+def bot_kadi(question):
+    # Dummy function for the AI response, replace with your logic
+    return "This is a placeholder response from Kadi Bot."
 
-    
 if __name__ == "__main__":
-    main()
+    main()