Update model.safetensors

model.safetensors

@@ -1,23 +1,33 @@
-import random
+import torch
+from transformers import PreTrainedModel, PreTrainedTokenizerFast, PretrainedConfig
+from transformers.modeling_outputs import ModelOutput
 
-def super_ai_9000(input_text):
-    responses = [
-        "Banana!", 
-        "Did someone say potato?", 
-        "Beep boop... processing... error 404: brain not found",
-        "Is that a squirrel?"
-    ]
+class HelloWorldConfig(PretrainedConfig):
+    model_type = "hello-world"
 
-    # Add more varied and interesting responses
-    responses.extend([
-        "Tell me more about that.",
-        "That's fascinating!",
-        "What do you think about AI?",
-        "Have you ever seen a platypus?"
-    ]) 
+class HelloWorldModel(PreTrainedModel):
+    config_class = HelloWorldConfig
 
-    return random.choice(responses)  # Choose a random response
+    def __init__(self, config):
+        super().__init__(config)
 
-# ... (rest of the chat_interface function remains the same)
+    def forward(self, *args, **kwargs):
+        return ModelOutput(logits=torch.tensor([[0]]), decoder_hidden_states=["Hello, world!"])
 
+tokenizer = PreTrainedTokenizerFast(tokenizer_file="tokenizer.json")
 
+# Dummy tokenizer configuration to work with the model
+tokenizer_config = {
+    "do_lower_case": False,
+    "model_max_length": 512,
+    "padding_side": "right",
+    "special_tokens_map_file": None,
+    "tokenizer_file": "tokenizer.json",
+    "unk_token": "<unk>",
+    "bos_token": "<s>",
+    "eos_token": "</s>"
+}
+
+with open("tokenizer.json", "w") as f:
+    import json
+    json.dump(tokenizer_config, f)