Update index.html

index.html

@@ -120,18 +120,44 @@
         const addTabBtn = document.getElementById('add-tab-btn');
 
         // --- Example Code ---
-        fetch("main_code.py")
-            .then(res => res.text())
-            .then(code => {
-                const exampleCodeMain = code;
-                // do something with it
-            });
-        fetch("dependencies.py")
-            .then(res_deps => res_deps.text())
-            .then(code_deps => {
-                const exampleCodeDeps = code_deps;
-                // do something with it
-            });
+        const exampleCodeMain = `
+# A specific model implementation that uses an external class
+class MyAwesomeModel(BaseModel, AttentionMixin):
+    def __init__(self, config):
+        super().__init__(config)
+        self._init_attention(config)
+
+    def forward(self, input_ids) -> BaseModelOutputWithPast:
+        """The main forward pass for the model."""
+        x = self._split_heads(input_ids)
+        # The return type is a class not defined in this file
+        return BaseModelOutputWithPast(last_hidden_state=x)
+`;
+
+        const exampleCodeDeps = `
+# This class is an external dependency, not defined here
+# from modeling_outputs import BaseModelOutputWithPast
+
+# A common mixin for attention mechanisms
+class AttentionMixin:
+    def _init_attention(self, config):
+        self.num_heads = config.num_heads
+        self.head_dim = config.hidden_size // config.num_heads
+
+    def _split_heads(self, tensor):
+        # Logic to split tensor for multi-head attention
+        return tensor
+
+# A base class for all models, similar to PreTrainedModel
+class BaseModel:
+    def __init__(self, config):
+        self.config = config
+
+    def from_pretrained(cls, model_name):
+        # Load weights
+        pass
+`;
+
         // --- Tab Management ---
         let tabCounter = 0;