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README.md

@@ -1,12 +1,50 @@
----
-title: Flaskbot
-emoji: 🌖
-colorFrom: indigo
-colorTo: indigo
-sdk: gradio
-sdk_version: 5.49.1
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: AI Chatbot
+emoji: 🤖
+colorFrom: blue
+colorTo: purple
+sdk: gradio
+sdk_version: 4.0.0
+app_file: app.py
+pinned: false
+license: mit
+short_description: A simple AI chatbot built with Gradio
+---
+
+# AI Chatbot
+
+A simple conversational AI chatbot built with Gradio. This chatbot can respond to basic greetings and engage in simple conversations.
+
+## Features
+
+- Interactive chat interface
+- Simple pattern-based responses
+- Clean and modern UI
+- Easy to use and deploy
+
+## How to Use
+
+1. Type your message in the text box
+2. Click "Send" or press Enter
+3. The chatbot will respond based on your input
+4. Try saying "hello" or "bye" to see the chatbot in action!
+
+## Local Development
+
+To run this chatbot locally:
+
+1. Install the requirements:
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+2. Run the application:
+   ```bash
+   python app.py
+   ```
+
+3. Open your browser and go to `http://localhost:7860`
+
+## Deployment
+
+This app is designed to be deployed on Hugging Face Spaces. Simply push this repository to a Hugging Face Space and it will automatically deploy with Gradio.

app.py

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+# app.py
+import gradio as gr
+
+def chatbot_response(message, history):
+    """Process user input and return chatbot response"""
+    user_input = message.lower()
+    
+    if "hello" in user_input:
+        return "Hello there! How can I help you today?"
+    elif "bye" in user_input:
+        return "Goodbye! 👋"
+    else:
+        return f"You said: {message}. I'm still learning!"
+
+# Create Gradio interface
+with gr.Blocks(title="AI Chatbot", theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# 🤖 AI Chatbot")
+    gr.Markdown("Welcome to my simple AI chatbot! Try saying 'hello' or 'bye'.")
+    
+    # Chat interface
+    chatbot = gr.Chatbot(
+        label="Chat",
+        height=400,
+        show_label=True,
+        container=True,
+        bubble_full_width=False
+    )
+    
+    # Text input
+    msg = gr.Textbox(
+        label="Your message",
+        placeholder="Type your message here...",
+        lines=1,
+        max_lines=3,
+        show_label=True
+    )
+    
+    # Submit button
+    submit_btn = gr.Button("Send", variant="primary")
+    
+    # Clear button
+    clear_btn = gr.Button("Clear", variant="secondary")
+    
+    # Event handlers
+    def user(user_message, history):
+        return "", history + [[user_message, None]]
+    
+    def bot(history):
+        user_message = history[-1][0]
+        bot_message = chatbot_response(user_message, history)
+        history[-1][1] = bot_message
+        return history
+    
+    # Connect the interface
+    msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
+        bot, chatbot, chatbot
+    )
+    submit_btn.click(user, [msg, chatbot], [msg, chatbot], queue=False).then(
+        bot, chatbot, chatbot
+    )
+    clear_btn.click(lambda: None, None, chatbot, queue=False)
+
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0", server_port=7860)

requirements.txt

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+gradio>=4.0.0