Create app.py

app.py

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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()