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