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Create app.py
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app.py
ADDED
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import gradio as gr
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import openai
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import json
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import os
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from typing import List, Tuple, Optional
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from datetime import datetime
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class ChatbotManager:
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def __init__(self):
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self.conversation_history = []
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self.current_api_key = None
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self.current_model = "gpt-3.5-turbo"
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self.system_prompt = "You are a helpful AI assistant. Respond in a friendly and informative manner." #default
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self.max_tokens = 150
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self.temperature = 0.7
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def set_api_key(self, api_key: str) -> str:
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if not api_key.strip():
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return "β Please enter a valid API key"
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self.current_api_key = api_key.strip()
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openai.api_key = self.current_api_key
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try:
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openai.Model.list()
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return "β
API key validated successfully!"
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except Exception as e:
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return f"β Invalid API key: {str(e)}"
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def update_settings(self, model: str, system_prompt: str, max_tokens: int, temperature: float) -> str:
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self.current_model = model
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self.system_prompt = system_prompt
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self.max_tokens = max_tokens
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self.temperature = temperature
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return f"β
Settings updated: Model={model}, Max Tokens={max_tokens}, Temperature={temperature}"
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def preprocess_data(self, data_text: str) -> str: ### we are integrating the custom data to the existing KB of model
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if not data_text.strip():
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return "No custom data provided"
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base_prompt = "You are a helpful AI assistant. Respond in a friendly and informative manner."
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self.system_prompt = base_prompt + f"\n\nAdditional Context:\n{data_text}"
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return f"β
Custom data integrated ({len(data_text)} characters)"
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def generate_response(self,user_input:str, history: List[Tuple[str, str]])-> Tuple[str, List[Tuple[str, str]]]:
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if not self.current_api_key:
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return "β Please set your API key first!", history
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if not user_input.strip():
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return "Please enter a message.", history
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try:
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messages=[{"role": "system", "content": self.system_prompt}]
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for user_msg, assistant_msg in history:
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messages.append({"role": "user", "content": user_msg})
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messages.append({"role": "assistant", "content": assistant_msg})
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messages.append({"role": "user", "content": user_input})
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response=openai.ChatCompletion.create(
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model=self.current_model,
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messages=messages,
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max_tokens=self.max_tokens,
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temperature=self.temperature,
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n=1,
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stop=None,
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)
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assistant_response = response.choices[0].message.content.strip()
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history.append((user_input, assistant_response))
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return assistant_response, history
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except Exception as e:
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error_msg = f"β Error generating response: {str(e)}"
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return error_msg, history
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def clear_conversation(self) -> Tuple[str, List[Tuple[str, str]]]:
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self.conversation_history = []
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return "", []
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chatbot=ChatbotManager()
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AVAILABLE_MODELS = [ #dropdown for models openai==0.28
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"gpt-3.5-turbo",
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"gpt-3.5-turbo-16k",
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"gpt-4",
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"gpt-4-32k",
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"gpt-4-0613",
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"gpt-4-32k-0613"
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]
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def create_interface():
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with gr.Blocks(title="LLM-Based Chatbot", theme=gr.themes.Ocean()) as demo:
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gr.Markdown("""
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# π€ LLM-Based Conversational AI Chatbot
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This chatbot leverages powerful Language Models to provide intelligent conversations.
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Enter your OpenAI API key to get started!
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""")
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with gr.Tab("Chat Interface"):
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with gr.Row():
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with gr.Column(scale=3):
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chatbot_interface = gr.Chatbot(
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label="Conversation",
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height=400,
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show_label=True,
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avatar_images=("user.png", "assistant.png"),
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show_copy_button=True,
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bubble_full_width=False,
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)
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with gr.Row():
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user_input = gr.Textbox(
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placeholder="Type your message here...",
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scale=4,
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show_label=False,
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container=False
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)
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send_btn = gr.Button("π€ Send", variant="primary", scale=1)
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with gr.Row():
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clear_btn = gr.Button("ποΈ Clear Chat")
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regenerate_btn = gr.Button("π Regenerate")
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with gr.Column(scale=1):
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gr.Markdown("### π§ Quick Settings")
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api_key_input = gr.Textbox(
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label="π OpenAI API Key",
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placeholder="sk-...",
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type="password"
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)
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api_status = gr.Textbox(
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label="API Status",
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interactive=False,
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value="β No API key provided"
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)
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+
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model_dropdown = gr.Dropdown(
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choices=AVAILABLE_MODELS,
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value="gpt-3.5-turbo",
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label="π€ Model"
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)
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max_tokens_slider = gr.Slider(
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minimum=50,
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maximum=4096,
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value=150,
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step=10,
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label="π Max Tokens"
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)
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+
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temperature_slider = gr.Slider(
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minimum=0.0,
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maximum=1.0,
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value=0.7,
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step=0.1,
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label="π‘οΈ Temperature"
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)
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+
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gr.Markdown("### π Current Settings")
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current_settings = gr.Textbox(
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value="Model: gpt-3.5-turbo\nTokens: 150\nTemp: 0.7",
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label="Active Configuration",
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interactive=False,
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lines=3
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)
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with gr.Tab("βοΈ Advanced Settings"):
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gr.Markdown("### π― System Prompt Configuration")
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+
system_prompt_input = gr.Textbox(
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label="System Prompt",
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value="You are a helpful AI assistant. Respond in a friendly and informative manner.",
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+
lines=5,
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placeholder="Enter custom system prompt..."
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)
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176 |
+
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+
gr.Markdown("### π Custom Data Integration")
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custom_data_input = gr.Textbox(
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label="Custom Training Data",
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+
lines=10,
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+
placeholder="Enter custom data, FAQs, or domain-specific information..."
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+
)
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183 |
+
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with gr.Row():
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update_settings_btn = gr.Button("β
Update Settings")
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integrate_data_btn = gr.Button("π Integrate Custom Data")
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187 |
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reset_prompt_btn = gr.Button("π Reset to Default")
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188 |
+
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settings_status = gr.Textbox(
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label="Settings Status",
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interactive=False
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+
)
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+
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+
gr.Markdown("### π Preset System Prompts")
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with gr.Row():
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preset_customer_support = gr.Button("π₯ Customer Support")
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preset_tutor = gr.Button("π Educational Tutor")
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preset_creative = gr.Button("β¨ Creative Assistant")
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preset_technical = gr.Button("π§ Technical Writer")
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+
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+
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+
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+
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