Create README.md

README.md

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-title: Groq Tavily Ai Chatbot
-emoji: 🐠
-colorFrom: green
-colorTo: indigo
-sdk: streamlit
-sdk_version: 1.42.2
-app_file: app.py
-pinned: false
-license: mit
-short_description: 'An intelligent AI chatbot powered by Groq''s LLMs '
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+AI Chatbot Agents with Groq and Tavily
+This Streamlit application creates an AI chatbot that uses Groq's LLMs and Tavily's search capabilities to provide intelligent responses.
+Features
+
+Uses Groq's LLMs (llama-3.3-70b-versatile and mixtral-8x7b-32768)
+Optional web search capabilities using Tavily
+Customizable system prompts
+Interactive Streamlit interface
+
+Setup Instructions
+
+Create a new Space on Hugging Face:
+
+Go to huggingface.co/spaces
+Click "Create new Space"
+Choose "Streamlit" as the SDK
+Set the visibility as per your preference
+
+
+Add your API keys as secrets:
+
+In your Space's Settings, go to "Variables and secrets"
+Add the following secrets:
+
+GROQ_API_KEY
+TAVILY_API_KEY
+
+
+
+
+Upload the following files to your Space:
+
+app.py
+requirements.txt
+README.md
+
+
+
+The application will automatically deploy once all files are uploaded.
+Usage
+
+Enter a system prompt to define the AI agent's role
+Select a Groq model
+Choose whether to enable web search
+Enter your query
+Click "Ask Agent!" to get a response
+
+Requirements
+See requirements.txt for the complete list of dependencies.
+License
+MIT License