app.py

**`app.py`**
```python
import gradio as gr
import requests
import os

# Fetch your Groq API key securely from HF Secrets
groq_api_key = os.getenv("GROQ_API_KEY")

# Path to local business.txt (uploaded in your Space repo)
business_file = os.path.join(os.path.dirname(__file__), "business.txt")

def chat_with_business(message, history):
    try:
        # Read business knowledge from local file
        with open(business_file, "r", encoding="utf-8") as f:
            business_info = f.read().strip()

        # System prompt including business details
        system_prompt = (
            "You are a helpful customer care assistant. "
            "Use only the following business information to answer the user's query:\n\n" +
            business_info +
            "\n\nIf the answer is not in the knowledge, reply 'Yeh information abhi available nahi hai.'"
        )

        # Prepare Groq API payload
        headers = {
            "Authorization": f"Bearer {groq_api_key}",
            "Content-Type": "application/json"
        }
        payload = {
            "model": "llama3-70b-8192",
            "messages": [
                {"role": "system", "content": system_prompt},
                {"role": "user", "content": message}
            ],
            "temperature": 0.7
        }

        # Call Groq chat endpoint
        response = requests.post(
            "https://api.groq.com/openai/v1/chat/completions",
            headers=headers,
            json=payload
        )
        response.raise_for_status()
        data = response.json()
        reply = data["choices"][0]["message"]["content"]
        return reply

    except Exception as e:
        return f"Error: {e}"

# Build Gradio interface
with gr.Blocks(theme="soft") as demo:
    gr.Markdown("## 🌿 My Business Bot")
    gr.Markdown("*Ask anything about your business in Hindi-English*")
    chatbot = gr.Chatbot(elem_id="chatbox", height=400)
    user_input = gr.Textbox(placeholder="Type your question here...", show_label=False)

    def handle_interaction(message, chat_history):
        bot_reply = chat_with_business(message, chat_history)
        chat_history = chat_history + [(message, bot_reply)]
        return chat_history, ""

    user_input.submit(handle_interaction, [user_input, chatbot], [chatbot, user_input])

# Launch app
if __name__ == "__main__":
    demo.launch()