Update app.py

app.py

@@ -1,6 +1,7 @@
 import os
 import gradio as gr
 from huggingface_hub import InferenceClient
+import json
 
 class XylariaChat:
     def __init__(self):
@@ -8,20 +9,22 @@ class XylariaChat:
         self.hf_token = os.getenv("HF_TOKEN")
         if not self.hf_token:
             raise ValueError("HuggingFace token not found in environment variables")
-        
+
         # Initialize the inference client
         self.client = InferenceClient(
-            model="Qwen/QwQ-32B-Preview", 
+            model="Qwen/Qwen-32B-Preview",
             api_key=self.hf_token
         )
-        
+
         # Initialize conversation history and persistent memory
         self.conversation_history = []
         self.persistent_memory = {}
-        
+        self.chat_file_path = "chat_history.txt"  # File to save chats
+
         # System prompt with more detailed instructions
-        self.system_prompt = """You are a helpful and harmless AI assistant you are Xylaria 1.4 Senoa, Made by Sk Md Saad Amin you think step by step 
+        self.system_prompt = """You are a helpful and harmless AI assistant you are Xylaria 1.4 Senoa, Made by Sk Md Saad Amin you think step by step
 """
+
     def store_information(self, key, value):
         """Store important information in persistent memory"""
         self.persistent_memory[key] = value
@@ -30,25 +33,53 @@ class XylariaChat:
         """Retrieve information from persistent memory"""
         return self.persistent_memory.get(key)
 
+    def save_chat(self):
+        """Saves the current chat history to a text file."""
+        try:
+            with open(self.chat_file_path, "w") as f:
+                chat_data = {
+                    "conversation_history": self.conversation_history,
+                    "persistent_memory": self.persistent_memory
+                }
+                json.dump(chat_data, f)
+        except Exception as e:
+            print(f"Error saving chat history: {e}")
+
+    def load_chat(self):
+        """Loads chat history from a text file."""
+        try:
+            with open(self.chat_file_path, "r") as f:
+                chat_data = json.load(f)
+                self.conversation_history = chat_data.get("conversation_history", [])
+                self.persistent_memory = chat_data.get("persistent_memory", {})
+                return self.conversation_history, self.persistent_memory
+        except FileNotFoundError:
+            print("Chat history file not found.")
+            return [], {}
+        except Exception as e:
+            print(f"Error loading chat history: {e}")
+            return [], {}
+
     def reset_conversation(self):
         """
-        Completely reset the conversation history, persistent memory, 
+        Completely reset the conversation history, persistent memory,
         and clear API-side memory
         """
         # Clear local memory
         self.conversation_history = []
         self.persistent_memory.clear()
-        
+
         # Clear API-side memory by resetting the conversation
         try:
             # Attempt to clear any API-side session or context
             self.client = InferenceClient(
-                model="Qwen/QwQ-32B-Preview", 
+                model="Qwen/Qwen-32B-Preview",
                 api_key=self.hf_token
             )
         except Exception as e:
             print(f"Error resetting API client: {e}")
-        
+
+        self.save_chat()  # Save the empty chat history
         return None  # To clear the chatbot interface
 
     def get_response(self, user_input):
@@ -58,14 +89,14 @@ class XylariaChat:
             *self.conversation_history,
             {"role": "user", "content": user_input}
         ]
-        
+
         # Add persistent memory context if available
         if self.persistent_memory:
             memory_context = "Remembered Information:\n" + "\n".join(
                 [f"{k}: {v}" for k, v in self.persistent_memory.items()]
             )
             messages.insert(1, {"role": "system", "content": memory_context})
-        
+
         # Generate response with streaming
         try:
             stream = self.client.chat.completions.create(
@@ -75,9 +106,9 @@ class XylariaChat:
                 top_p=0.7,
                 stream=True
             )
-            
+
             return stream
-        
+
         except Exception as e:
             return f"Error generating response: {str(e)}"
 
@@ -85,25 +116,25 @@ class XylariaChat:
         def streaming_response(message, chat_history):
             # Clear input textbox
             response_stream = self.get_response(message)
-            
+
             # If it's an error, return immediately
             if isinstance(response_stream, str):
                 return "", chat_history + [[message, response_stream]]
-            
+
             # Prepare for streaming response
             full_response = ""
             updated_history = chat_history + [[message, ""]]
-            
+
             # Streaming output
             for chunk in response_stream:
                 if chunk.choices[0].delta.content:
                     chunk_content = chunk.choices[0].delta.content
                     full_response += chunk_content
-                    
+
                     # Update the last message in chat history with partial response
                     updated_history[-1][1] = full_response
                     yield "", updated_history
-            
+
             # Update conversation history
             self.conversation_history.append(
                 {"role": "user", "content": message}
@@ -111,15 +142,22 @@ class XylariaChat:
             self.conversation_history.append(
                 {"role": "assistant", "content": full_response}
             )
-            
+
             # Limit conversation history to prevent token overflow
             if len(self.conversation_history) > 10:
                 self.conversation_history = self.conversation_history[-10:]
 
-        # Custom CSS for Inter font
+            self.save_chat()
+
+        def load_chat_interface():
+            """Loads the chat history into the chatbot interface."""
+            self.load_chat()
+            return self.conversation_history
+
+        # Custom CSS for Inter font and sidebar
         custom_css = """
         @import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap');
-        
+
         body, .gradio-container {
             font-family: 'Inter', sans-serif !important;
         }
@@ -133,64 +171,160 @@ class XylariaChat:
         .gradio-container button {
             font-family: 'Inter', sans-serif !important;
         }
+
+        /* Sidebar styling */
+        #sidebar {
+            background-color: #f2f2f2;
+            border-right: 1px solid #ccc;
+            padding: 10px;
+            height: 100vh;
+            overflow-y: auto;
+        }
+
+        #sidebar ul {
+            list-style-type: none;
+            padding: 0;
+        }
+
+        #sidebar li {
+            margin-bottom: 5px;
+        }
+        /* Main chat area */
+        #main-chat {
+            padding: 20px;
+        }
         """
 
+        # Example prompts
+        example_prompts = [
+            "How do I get started with coding?",
+            "Tell me a fun fact about science.",
+            "What are some good books to read?"
+        ]
+
+        # Function to forward prompt to the textbox
+        def forward_prompt(prompt):
+            return prompt
+
         with gr.Blocks(theme='soft', css=custom_css) as demo:
-            # Chat interface with improved styling
-            with gr.Column():
-                chatbot = gr.Chatbot(
-                    label="Xylaria 1.4 Senoa",
-                    height=500,
-                    show_copy_button=True
-                )
-                
-                # Input row with improved layout
-                with gr.Row():
-                    txt = gr.Textbox(
-                        show_label=False, 
-                        placeholder="Type your message...", 
-                        container=False,
-                        scale=4
+            with gr.Row():
+                # Sidebar for displaying chat history
+                with gr.Column(elem_id="sidebar", scale=1):  # Added elem_id for CSS
+                    gr.Markdown("### Chat History")
+                    load_button = gr.Button("Load Chat History")
+                    chat_list = gr.Markdown("No chat history found.")
+
+                    load_button.click(
+                        fn=lambda: gr.Markdown.update(value=self.format_chat_history()),
+                        inputs=None,
+                        outputs=[chat_list]
                     )
-                    btn = gr.Button("Send", scale=1)
-                
-                # Clear history and memory buttons
-                clear = gr.Button("Clear Conversation")
-                clear_memory = gr.Button("Clear Memory")
-            
-            # Submit functionality with streaming
-            btn.click(
-                fn=streaming_response, 
-                inputs=[txt, chatbot], 
-                outputs=[txt, chatbot]
-            )
-            txt.submit(
-                fn=streaming_response, 
-                inputs=[txt, chatbot], 
-                outputs=[txt, chatbot]
-            )
-            
-            # Clear conversation history
-            clear.click(
-                fn=lambda: None, 
-                inputs=None, 
-                outputs=[chatbot],
-                queue=False
-            )
-            
-            # Clear persistent memory and reset conversation
-            clear_memory.click(
-                fn=self.reset_conversation,
-                inputs=None,
-                outputs=[chatbot],
-                queue=False
-            )
 
-            # Ensure memory is cleared when the interface is closed
-            demo.load(self.reset_conversation, None, None)
-        
+                # Main chat interface
+                with gr.Column(elem_id="main-chat", scale=3):
+                    # Show Xylaria and example prompts only on the first page/new chat
+                    with gr.Column(visible=True) as start_page:
+                        gr.Markdown("# Xylaria")
+                        with gr.Row():
+                          for prompt in example_prompts:
+                            gr.Button(prompt).click(
+                                fn=forward_prompt,
+                                inputs=gr.State(prompt),
+                                outputs=txt
+                            )
+
+                    with gr.Column(visible=False) as chat_page:
+                        chatbot = gr.Chatbot(
+                            label="Xylaria 1.4 Senoa",
+                            height=500,
+                            show_copy_button=True
+                        )
+
+                        # Input row with improved layout
+                        with gr.Row():
+                            txt = gr.Textbox(
+                                show_label=False,
+                                placeholder="Type your message...",
+                                container=False,
+                                scale=4
+                            )
+                            btn = gr.Button("Send", scale=1)
+
+                        # Clear history and memory buttons
+                        clear = gr.Button("Clear Conversation")
+                        clear_memory = gr.Button("Clear Memory")
+
+                    # Toggle between start page and chat page
+                    def toggle_page(choice):
+                        return gr.Column.update(visible=choice == "chat"), gr.Column.update(visible=choice == "start")
+
+                    start_page.visible = True
+                    chat_page.visible = False
+
+                    # Submit functionality with streaming
+                    btn.click(
+                        fn=streaming_response,
+                        inputs=[txt, chatbot],
+                        outputs=[txt, chatbot]
+                    ).then(
+                        fn=lambda: toggle_page("chat"),
+                        inputs=gr.State("chat"),
+                        outputs=[chat_page, start_page]
+                    )
+                    txt.submit(
+                        fn=streaming_response,
+                        inputs=[txt, chatbot],
+                        outputs=[txt, chatbot]
+                    ).then(
+                        fn=lambda: toggle_page("chat"),
+                        inputs=gr.State("chat"),
+                        outputs=[chat_page, start_page]
+                    )
+
+                    # Clear conversation history
+                    clear.click(
+                        fn=lambda: None,
+                        inputs=None,
+                        outputs=[chatbot],
+                        queue=False
+                    ).then(
+                        fn=lambda: toggle_page("start"),
+                        inputs=gr.State("start"),
+                        outputs=[chat_page, start_page]
+                    )
+
+                    # Clear persistent memory and reset conversation
+                    clear_memory.click(
+                        fn=self.reset_conversation,
+                        inputs=None,
+                        outputs=[chatbot],
+                        queue=False
+                    ).then(
+                        fn=lambda: toggle_page("start"),
+                        inputs=gr.State("start"),
+                        outputs=[chat_page, start_page]
+                    )
+
+                    # Ensure memory is cleared when the interface is closed
+                    demo.load(self.reset_conversation, None, None)
+
         return demo
 
+    def format_chat_history(self):
+        """Formats the chat history for display in the sidebar."""
+        self.load_chat()  # Load the chat history first
+        if not self.conversation_history:
+            return "No chat history found."
+
+        formatted_history = ""
+        for chat in self.conversation_history:
+            if chat["role"] == "user":
+                formatted_history += f"**You:** {chat['content']}\n\n"
+            elif chat["role"] == "assistant":
+                formatted_history += f"**Xylaria:** {chat['content']}\n\n"
+
+        return formatted_history
+
 # Launch the interface
 def main():
     chat = XylariaChat()