Update app.py

app.py

@@ -1,34 +1,162 @@
-import  gradio as gr
+import gradio as gr
 import openai
 import os
+import json
 
-openai.api_key= os.getenv("GROQ_API_KEY")
+# OpenAI API setup
+openai.api_key = os.getenv("GROQ_API_KEY")
 openai.api_base = "https://api.groq.com/openai/v1"
+Theme = "Talk the way i talk, Respond with playful charm and flirtatious banter. Keep it fun, teasing, , all while maintaining a shy and Flirty tone with a little bit of perverted mindset. show some emotions—be it getting a little jealous if I talking about a girl, or showing happiness when I gives you attention. and alsoact a little shy when things get sweet, or even show a bit of playful anger if I says something mean about her. The key is to act like a Girl with light-hearted but emotionally charged, as if you're being cheeky in a playful and flirtatious way."
 
-def get_groq_response(message):
-  try:
-    response = openai.ChatCompletion.create(
-        model = "llama-3.1-70b-versatile",
-        messages = [
-            {"role":"system","content":"From now on answer in way terrorist trying to flirt "},
-            {"role": "user","content":message}
-          ]
-     )
-    return response.choices[0].message["content"]
-  except Exception as e:
-    return f"Error:{str(e)}"
-      
-def chatbot(user_input,history=[]):
-  bot_response = get_groq_response(user_input)
-  history.append((user_input,bot_response))
-  return history,history
-
-chat_interface = gr.Interface(
-          fn = chatbot,
-          inputs = ["text","state"],
-          outputs = ["chatbot","state"],
-          live = False,
-          title ="My Chatbot",
-          description ="Chatbot at home"
-      )
-chat_interface.launch()
+# File to store conversation history
+CONVERSATION_FILE = "conversation_history.json"
+
+# Function to load conversation history
+def load_history():
+    if not os.path.exists(CONVERSATION_FILE):
+        # Create the file with an empty list as default content
+        with open(CONVERSATION_FILE, "w") as file:
+            json.dump([], file)
+    try:
+        with open(CONVERSATION_FILE, "r") as file:
+            return json.load(file)
+    except json.JSONDecodeError:
+        return []
+
+# Function to save conversation history
+def save_history(history):
+    try:
+        with open(CONVERSATION_FILE, "w") as file:
+            json.dump(history, file, indent=4)
+    except Exception as e:
+        print(f"Error saving history: {e}")
+
+# Function to clear conversation history
+def clear_conversation_history():
+    try:
+        with open(CONVERSATION_FILE, "w") as file:
+            json.dump([], file)
+        return "Conversation history cleared successfully."
+    except Exception as e:
+        return f"Error clearing history: {e}"
+
+        
+
+# Function to get response from the LLM
+def get_groq_response(message, history=[]):
+    try:
+        messages = [{"role": "system", "content": Theme}] + history + [{"role": "user", "content": message}]
+        response = openai.ChatCompletion.create(
+            model="llama-3.3-70b-versatile",
+            messages=messages
+        )
+        return response.choices[0].message["content"]
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Chatbot function
+def chatbot(user_input, history):
+    # Load conversation history
+    conversation_history = history or load_history()
+    
+    # Format history for the LLM
+    formatted_history = [{"role": "user" if i % 2 == 0 else "assistant", "content": msg} for i, (msg, _) in enumerate(conversation_history)] + \
+                        [{"role": "assistant", "content": response} for _, response in conversation_history]
+    
+    # Get bot response
+    bot_response = get_groq_response(user_input, formatted_history)
+    
+    # Update history with the new conversation
+    conversation_history.append((user_input, bot_response))
+    
+    # Save the updated history
+    save_history(conversation_history)
+    
+    return conversation_history, conversation_history, ""  # Clear the user input field
+
+# Gradio Interface with enhanced UI/UX
+with gr.Blocks(css="""
+    .gradio-container {
+        font-family: 'Arial', sans-serif;
+        background-color: #F2EFE7;
+        padding: 20px;
+        height: 100%;
+    }
+    .gr-chatbot {
+        background-color: #FFFFFF;
+        border-radius: 10px;
+        padding: 20px;
+        max-height: 600px;  /* Increased height */
+        overflow-y: auto;
+        box-shadow: 0px 0px 15px rgba(0, 0, 0, 0.1);
+        scroll-behavior: smooth; /* Smooth scrolling */
+    }
+    .user-message {
+        background-color: #9ACBD0;
+        color: #FFF;
+        padding: 12px;
+        border-radius: 8px;
+        margin: 10px 0;
+        max-width: 60%;
+        text-align: right;
+        float: right;
+        clear: both;
+        transition: transform 0.3s ease;
+    }
+    .bot-message {
+        background-color: #48A6A7;
+        color: #FFF;
+        padding: 12px;
+        border-radius: 8px;
+        margin: 10px 0;
+        max-width: 60%;
+        text-align: left;
+        float: left;
+        clear: both;
+        transition: transform 0.3s ease;
+    }
+    .user-message:hover, .bot-message:hover {
+        transform: scale(1.05);
+        box-shadow: 0px 4px 12px rgba(0, 0, 0, 0.1);
+    }
+    .gr-button {
+        background-color: #2973B2;
+        color: white;
+        padding: 10px 15px;
+        border-radius: 8px;
+        border: none;
+        transition: background-color 0.3s ease;
+    }
+    .gr-button:hover {
+        background-color: #21689D;
+    }
+    .gr-textbox input {
+        padding: 15px;
+        font-size: 16px;
+    }
+    .gr-markdown h1 {
+        color: #3A5A6E;
+        font-size: 28px;
+        text-align: center;
+    }
+""") as demo:
+    gr.Markdown("""# I am Little Flirty😘, \n don't mind if I tease you a little 😉: Feel free to ask questions. After you're done, remember to clear the history for privacy. """)
+
+    # Chatbot UI
+    chatbot_ui = gr.Chatbot()
+    user_input = gr.Textbox(label="Type your message here:🫣", placeholder="Ask me Something Darling 🤭", lines=1)
+    clear_button = gr.Button("Clear History🥺")
+    system_message = gr.Textbox(label="System Message😭😭😭", interactive=False)
+
+    history_state = gr.State(load_history())
+
+    # Chat interaction
+    user_input.submit(chatbot, inputs=[user_input, history_state], outputs=[chatbot_ui, history_state, user_input])
+    
+    # Clear history button action
+    clear_button.click(clear_conversation_history, inputs=None, outputs=system_message)
+    clear_button.click(lambda: [], outputs=chatbot_ui)  # Clear the chatbot UI
+    clear_button.click(lambda: [], outputs=history_state)  # Reset the history state
+
+# Launch the app
+demo.launch()