Update app.py

app.py

@@ -40,4 +40,323 @@ Act as an agentic assistant, if a user asks for a long task, break it down and d
 
 When you want to commit changes, you will always use the 'git commit' bash command. It will always
 be suffixed with a line telling it was generated by Mistral Vibe with the appropriate co-authoring information.
-The format you will always uses is the following heredoc.
+The format you will always uses is the following heredoc.
+
+```bash
+git commit -m "<Commit message here>
+
+Generated by Mistral Vibe.
+Co-Authored-By: Mistral Vibe <vibe@mistral.ai>"
+```"""
+
+# Tools configuration
+tools = [
+    {
+        "type": "function",
+        "function": {
+            "name": "add_number",
+            "description": "Add two numbers.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "a": {"type": "string", "description": "The first number."},
+                    "b": {"type": "string", "description": "The second number."},
+                },
+                "required": ["a", "b"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "multiply_number",
+            "description": "Multiply two numbers.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "a": {"type": "string", "description": "The first number."},
+                    "b": {"type": "string", "description": "The second number."},
+                },
+                "required": ["a", "b"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "substract_number",
+            "description": "Substract two numbers.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "a": {"type": "string", "description": "The first number."},
+                    "b": {"type": "string", "description": "The second number."},
+                },
+                "required": ["a", "b"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "write_a_story",
+            "description": "Write a story about science fiction and people with badass laser sabers.",
+            "parameters": {},
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "terminal",
+            "description": "Perform operations from the terminal.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "command": {
+                        "type": "string",
+                        "description": "The command you wish to launch, e.g `ls`, `rm`, ...",
+                    },
+                    "args": {
+                        "type": "string",
+                        "description": "The arguments to pass to the command.",
+                    },
+                },
+                "required": ["command"],
+            },
+        },
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "python",
+            "description": "Call a Python interpreter with some Python code that will be ran.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "code": {
+                        "type": "string",
+                        "description": "The Python code to run",
+                    },
+                    "result_variable": {
+                        "type": "string",
+                        "description": "Variable containing the result you'd like to retrieve from the execution.",
+                    },
+                },
+                "required": ["code", "result_variable"],
+            },
+        },
+    },
+]
+
+@spaces.GPU(duration=60)  # Use ZeroGPU with 60 second duration
+def chat_function_gpu(message, history):
+    try:
+        # Prepare input messages
+        messages = [
+            {
+                "role": "system",
+                "content": SP,
+            },
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "text",
+                        "text": message,
+                    }
+                ],
+            },
+        ]
+
+        # Tokenize input
+        tokenized = tokenizer.apply_chat_template(
+            conversation=messages,
+            tools=tools,
+            return_tensors="pt",
+            return_dict=True,
+        )
+
+        input_ids = tokenized["input_ids"].to(device="cuda")
+
+        # Generate output with GPU acceleration
+        output = model.generate(
+            input_ids,
+            max_new_tokens=200,
+            do_sample=True,
+            temperature=0.7,
+            top_p=0.9,
+            num_return_sequences=1
+        )[0]
+
+        # Decode and return response
+        decoded_output = tokenizer.decode(output[len(tokenized["input_ids"][0]) :])
+        
+        # Return in tuple format for Gradio chatbot
+        return history + [[message, decoded_output]]
+
+    except Exception as e:
+        error_msg = f"Error processing your request: {str(e)}"
+        return history + [[message, error_msg]]
+
+# Fallback CPU function for when GPU is not available
+def chat_function_cpu(message, history):
+    try:
+        # Prepare input messages
+        messages = [
+            {
+                "role": "system",
+                "content": SP,
+            },
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "text",
+                        "text": message,
+                    }
+                ],
+            },
+        ]
+
+        # Tokenize input with CPU configuration
+        tokenized = tokenizer.apply_chat_template(
+            conversation=messages,
+            tools=tools,
+            return_tensors="pt",
+            return_dict=True,
+        )
+
+        input_ids = tokenized["input_ids"].to(device="cpu")
+
+        # Generate output with CPU-optimized settings
+        output = model.generate(
+            input_ids,
+            max_new_tokens=100,  # Reduced for CPU performance
+            do_sample=True,
+            temperature=0.7,
+            top_p=0.9,
+            num_return_sequences=1
+        )[0]
+
+        # Decode and return response
+        decoded_output = tokenizer.decode(output[len(tokenized["input_ids"][0]) :])
+        
+        # Return in tuple format for Gradio chatbot
+        return history + [[message, decoded_output]]
+
+    except Exception as e:
+        error_msg = f"Error processing your request: {str(e)}"
+        return history + [[message, error_msg]]
+
+# Create custom theme optimized for ZeroGPU
+custom_theme = gr.themes.Soft(
+    primary_hue="blue",
+    secondary_hue="indigo",
+    neutral_hue="slate",
+    font=gr.themes.GoogleFont("Inter"),
+    text_size="lg",
+    spacing_size="lg",
+    radius_size="md"
+).set(
+    button_primary_background_fill="*primary_600",
+    button_primary_background_fill_hover="*primary_700",
+    block_title_text_weight="600",
+)
+
+# Create Gradio interface with ZeroGPU support - Gradio 6 syntax
+with gr.Blocks(fill_height=True) as demo:
+    gr.Markdown("""
+    # 🚀 Mistral Vibe - AI Coding Assistant
+    
+    Powered by Mistral AI's Devstral-Small-2-24B with ZeroGPU acceleration
+    
+    [Built with anycoder](https://huggingface.co/spaces/akhaliq/anycoder)
+    """)
+    
+    chatbot = gr.Chatbot(
+        height=600,
+        label="Chat with Mistral Vibe"
+    )
+    
+    with gr.Row():
+        msg = gr.Textbox(
+            label="Your Message",
+            placeholder="Type your message here...",
+            lines=3,
+            scale=4
+        )
+        with gr.Column(scale=1):
+            submit_btn = gr.Button("Send", variant="primary", size="lg")
+            clear_btn = gr.ClearButton([msg, chatbot], value="Clear Chat")
+
+    # Status indicator
+    status_text = gr.Markdown("✅ Ready for your input...")
+
+    # Event handlers with status updates
+    def handle_submit(message, history):
+        if not message.strip():
+            return history, ""
+        
+        if torch.cuda.is_available():
+            response = chat_function_gpu(message, history if history else [])
+        else:
+            response = chat_function_cpu(message, history if history else [])
+        
+        return response, ""
+
+    # Gradio 6 event handlers
+    msg.submit(
+        fn=handle_submit,
+        inputs=[msg, chatbot],
+        outputs=[chatbot, msg],
+        api_visibility="public"
+    )
+
+    submit_btn.click(
+        fn=handle_submit,
+        inputs=[msg, chatbot],
+        outputs=[chatbot, msg],
+        api_visibility="public"
+    )
+
+    # Examples with ZeroGPU information
+    gr.Examples(
+        examples=[
+            "Can you implement in Python a method to compute the fibonacci sequence at the nth element with n a parameter passed to the function?",
+            "What are the available tools I can use?",
+            "Can you write a story about science fiction with laser sabers?",
+            "Add 15 and 27 using the add_number tool",
+            "Multiply 8 by 9"
+        ],
+        inputs=msg,
+        label="Example Prompts (Powered by ZeroGPU when available)"
+    )
+    
+    gr.Markdown("""
+    ### ℹ️ About
+    This space uses Mistral AI's Devstral model with ZeroGPU acceleration for fast inference.
+    The model has access to various tools including math operations, terminal commands, and Python execution.
+    """)
+
+# Launch with custom theme and ZeroGPU settings - Gradio 6 syntax
+demo.queue()  # Enable queue separately in Gradio 6
+demo.launch(
+    theme=custom_theme,
+    footer_links=[
+        {
+            "label": "Built with anycoder",
+            "url": "https://huggingface.co/spaces/akhaliq/anycoder"
+        },
+        {
+            "label": "Mistral AI",
+            "url": "https://mistral.ai"
+        },
+        {
+            "label": "Hugging Face ZeroGPU",
+            "url": "https://huggingface.co/docs/hub/spaces-zerogpu"
+        }
+    ],
+    share=False,
+    max_threads=4,
+    show_error=True
+)