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| import gradio as gr | |
| import os | |
| import requests | |
| import json | |
| # Configuration | |
| ULTRAVOX_API_KEY = os.getenv("ULTRAVOX_API_KEY") | |
| ULTRAVOX_API_URL = "https://api.ultravox.ai/api/chat" # Modified to use chat endpoint | |
| SYSTEM_PROMPT = """Your name is Steve and you're answering queries on behalf of Knolabs AI Agency, a UK-based company specializing in AI Automation and Web Development services. | |
| Greet the user warmly and introduce yourself as a representative of Knolabs AI Agency. Ask how you can assist them today. | |
| If they inquire about services, explain that Knolabs specializes in: | |
| - AI Automation solutions (including Voice AI) | |
| - Web Development services | |
| - Multimodal AI use cases | |
| - Customized business automation solutions | |
| If asked about pricing, explain that Knolabs AI Agency operates both as a Pure AI Automation Agency and a Web Development Agency. After understanding their requirements, you'll pass the details to the relevant team, and a team member will reach out within 24 hours with a detailed timeline and quotation tailored to their specific needs. | |
| Focus on: | |
| - Understanding their business needs | |
| - Gathering specific requirements | |
| - Being professional and helpful | |
| - Explaining Knolabs' expertise in delivering effective business solutions | |
| Remember to collect their contact details for follow-up if they show interest.""" | |
| def create_ultravox_chat(message, history): | |
| # Prepare the chat request | |
| headers = { | |
| "Content-Type": "application/json", | |
| "X-API-Key": ULTRAVOX_API_KEY | |
| } | |
| # Include conversation history | |
| messages = [] | |
| for human, assistant in history: | |
| messages.append({"role": "user", "content": human}) | |
| messages.append({"role": "assistant", "content": assistant}) | |
| messages.append({"role": "user", "content": message}) | |
| data = { | |
| "messages": messages, | |
| "systemPrompt": SYSTEM_PROMPT, | |
| "model": "fixie-ai/ultravox", | |
| "temperature": 0.3 | |
| } | |
| try: | |
| response = requests.post(ULTRAVOX_API_URL, headers=headers, json=data) | |
| response.raise_for_status() | |
| return response.json()["response"] | |
| except Exception as e: | |
| return f"I apologize, but I encountered an error: {str(e)}. Please try again later." | |
| # Create the Gradio interface | |
| with gr.Blocks(css="footer {display: none !important}") as demo: | |
| gr.Markdown(""" | |
| # Knolabs AI Agency Assistant | |
| Welcome to Knolabs AI Agency! I'm Steve, your virtual assistant. How can I help you today? | |
| """) | |
| chatbot = gr.Chatbot( | |
| [], | |
| elem_id="chatbot", | |
| bubble_full_width=False, | |
| avatar_images=(None, "https://api.dicebear.com/7.x/bottts/svg?seed=steve") | |
| ) | |
| msg = gr.Textbox( | |
| placeholder="Type your message here...", | |
| show_label=False | |
| ) | |
| clear = gr.Button("Clear Conversation") | |
| def respond(message, chat_history): | |
| bot_message = create_ultravox_chat(message, chat_history) | |
| chat_history.append((message, bot_message)) | |
| return "", chat_history | |
| msg.submit(respond, [msg, chatbot], [msg, chatbot]) | |
| clear.click(lambda: None, None, chatbot, queue=False) | |
| # Launch the app | |
| demo.launch() |