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  1. .DS_Store +0 -0
  2. .gitignore +1 -0
  3. TeapotAI.js +123 -0
  4. config.json +34 -0
  5. generation_config.json +7 -0
  6. index.js +41 -0
  7. onnx/decoder_model.onnx +3 -0
  8. onnx/decoder_model_bnb4.onnx +3 -0
  9. onnx/decoder_model_fp16.onnx +3 -0
  10. onnx/decoder_model_int8.onnx +3 -0
  11. onnx/decoder_model_merged.onnx +3 -0
  12. onnx/decoder_model_merged_bnb4.onnx +3 -0
  13. onnx/decoder_model_merged_fp16.onnx +3 -0
  14. onnx/decoder_model_merged_int8.onnx +3 -0
  15. onnx/decoder_model_merged_q4.onnx +3 -0
  16. onnx/decoder_model_merged_q4f16.onnx +3 -0
  17. onnx/decoder_model_merged_quantized.onnx +3 -0
  18. onnx/decoder_model_merged_uint8.onnx +3 -0
  19. onnx/decoder_model_q4.onnx +3 -0
  20. onnx/decoder_model_q4f16.onnx +3 -0
  21. onnx/decoder_model_quantized.onnx +3 -0
  22. onnx/decoder_model_uint8.onnx +3 -0
  23. onnx/decoder_with_past_model.onnx +3 -0
  24. onnx/decoder_with_past_model_bnb4.onnx +3 -0
  25. onnx/decoder_with_past_model_fp16.onnx +3 -0
  26. onnx/decoder_with_past_model_int8.onnx +3 -0
  27. onnx/decoder_with_past_model_q4.onnx +3 -0
  28. onnx/decoder_with_past_model_q4f16.onnx +3 -0
  29. onnx/decoder_with_past_model_quantized.onnx +3 -0
  30. onnx/decoder_with_past_model_uint8.onnx +3 -0
  31. onnx/encoder_model.onnx +3 -0
  32. onnx/encoder_model_bnb4.onnx +3 -0
  33. onnx/encoder_model_fp16.onnx +3 -0
  34. onnx/encoder_model_int8.onnx +3 -0
  35. onnx/encoder_model_q4.onnx +3 -0
  36. onnx/encoder_model_q4f16.onnx +3 -0
  37. onnx/encoder_model_quantized.onnx +3 -0
  38. onnx/encoder_model_uint8.onnx +3 -0
  39. package.json +13 -0
  40. quantize_config.json +18 -0
  41. special_tokens_map.json +125 -0
  42. spiece.model +3 -0
  43. tokenizer.json +0 -0
  44. tokenizer_config.json +941 -0
  45. yarn.lock +627 -0
.DS_Store ADDED
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.gitignore ADDED
@@ -0,0 +1 @@
 
 
1
+ node_modules
TeapotAI.js ADDED
@@ -0,0 +1,123 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import { pipeline, env } from '@huggingface/transformers';
2
+
3
+ class TeapotAI {
4
+ /**
5
+ * Initializes the TeapotAI class.
6
+ * @param {object} options - Configuration options.
7
+ * @param {string} [options.modelId='teapotai/teapotllm'] - The Hugging Face model ID.
8
+ * @param {boolean} [options.verbose=true] - Whether to print status messages.
9
+ */
10
+ constructor({ modelId = 'teapotai/teapotllm', verbose = false } = {}) {
11
+ this.modelId = modelId;
12
+ this.verbose = verbose;
13
+ this.generator = null;
14
+ this.isInitialized = false;
15
+
16
+ if (this.verbose) {
17
+ console.log(`TeapotAI instance created for model: ${this.modelId}`);
18
+ }
19
+ }
20
+
21
+ /**
22
+ * Asynchronously initializes the text generation pipeline.
23
+ * Must be called before using generate, query, or chat.
24
+ */
25
+ async initialize() {
26
+ if (this.isInitialized) {
27
+ if (this.verbose) console.log("Pipeline already initialized.");
28
+ return;
29
+ }
30
+ try {
31
+ if (this.verbose) console.log(`Initializing generator pipeline for model: ${this.modelId}...`);
32
+ const pipelineOptions = { model: this.modelId };
33
+
34
+ this.generator = await pipeline('text2text-generation', pipelineOptions.model, pipelineOptions);
35
+ this.isInitialized = true;
36
+ if (this.verbose) console.log("Pipeline initialized successfully.");
37
+ } catch (error) {
38
+ console.error("Failed to initialize pipeline:", error);
39
+ throw error;
40
+ }
41
+ }
42
+
43
+ /**
44
+ * Ensures the pipeline is initialized before proceeding.
45
+ * @private
46
+ */
47
+ _ensureInitialized() {
48
+ if (!this.isInitialized || !this.generator) {
49
+ throw new Error("Pipeline not initialized. Call initialize() before using query(), generate(), or chat().");
50
+ }
51
+ }
52
+
53
+ /**
54
+ * Generates text based on the input string.
55
+ * (Internal method similar to the Python version's generate)
56
+ * @param {string} inputText - The text prompt to generate a response for.
57
+ * @returns {Promise<string>} The generated output from the model.
58
+ */
59
+ async generate(inputText) {
60
+ this._ensureInitialized();
61
+ try {
62
+ if (this.verbose) console.log("Generating text...");
63
+
64
+ const output = await this.generator(inputText, {
65
+ max_new_tokens: 512,
66
+ });
67
+
68
+ const generatedText = output[0]?.generated_text ?? "Error: Could not generate text.";
69
+ if (this.verbose) console.log("Text generation complete.");
70
+ return generatedText;
71
+
72
+ } catch (error) {
73
+ if (this.verbose) console.error("Error during text generation:", error);
74
+ return "Error: Generation failed.";
75
+ }
76
+ }
77
+
78
+ /**
79
+ * Handles a query and context to generate a response.
80
+ * (Focuses on the case where context is provided, skipping RAG)
81
+ * @param {string} query - The query string to be answered.
82
+ * @param {string} context - The context to guide the response.
83
+ * @returns {Promise<string>} The generated response based on the query and context.
84
+ */
85
+ async query(query, context) {
86
+ this._ensureInitialized();
87
+
88
+ let inputText;
89
+ if (!context) {
90
+ if (this.verbose) console.warn("Context is empty. Proceeding without context enhancement.");
91
+ inputText = `Query: ${query}`;
92
+ } else {
93
+ inputText = `Context: ${context}\nQuery: ${query}`;
94
+ if (this.verbose) console.log("\nFormatted Input for Query:\n", inputText);
95
+ }
96
+ return this.generate(inputText);
97
+ }
98
+
99
+ /**
100
+ * Engages in a chat by taking a list of previous messages and generating a response.
101
+ * @param {Array<object>} conversationHistory - An array of message objects, each expected to have a 'content' property. E.g., [{ content: 'User: Hi' }, { content: 'Agent: Hello!' }]
102
+ * @returns {Promise<string>} The generated agent response based on the conversation history.
103
+ */
104
+ async chat(conversationHistory) {
105
+ this._ensureInitialized();
106
+
107
+ if (!Array.isArray(conversationHistory)) {
108
+ throw new Error("conversationHistory must be an array of message objects.");
109
+ }
110
+
111
+ let chatHistoryString = conversationHistory
112
+ .map(message => message.content)
113
+ .join("\n");
114
+
115
+ const inputText = chatHistoryString + "\n" + "agent:";
116
+
117
+ if (this.verbose) console.log("\nFormatted Input for Chat:\n", inputText);
118
+
119
+ return this.generate(inputText);
120
+ }
121
+ }
122
+
123
+ export default TeapotAI;
config.json ADDED
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+ {
2
+ "_attn_implementation_autoset": true,
3
+ "_name_or_path": "teapotai/teapotllm",
4
+ "architectures": [
5
+ "T5ForConditionalGeneration"
6
+ ],
7
+ "classifier_dropout": 0.0,
8
+ "d_ff": 2816,
9
+ "d_kv": 64,
10
+ "d_model": 1024,
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+ "decoder_start_token_id": 0,
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+ "dense_act_fn": "gelu_new",
13
+ "dropout_rate": 0.1,
14
+ "eos_token_id": 1,
15
+ "feed_forward_proj": "gated-gelu",
16
+ "initializer_factor": 1.0,
17
+ "is_encoder_decoder": true,
18
+ "is_gated_act": true,
19
+ "layer_norm_epsilon": 1e-06,
20
+ "model_type": "t5",
21
+ "n_positions": 512,
22
+ "num_decoder_layers": 24,
23
+ "num_heads": 16,
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+ "num_layers": 24,
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+ "output_past": true,
26
+ "pad_token_id": 0,
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+ "relative_attention_max_distance": 128,
28
+ "relative_attention_num_buckets": 32,
29
+ "tie_word_embeddings": false,
30
+ "torch_dtype": "float32",
31
+ "transformers_version": "4.49.0",
32
+ "use_cache": true,
33
+ "vocab_size": 32128
34
+ }
generation_config.json ADDED
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+ {
2
+ "_from_model_config": true,
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 1,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.49.0"
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+ }
index.js ADDED
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1
+ import TeapotAI from './TeapotAI.js';
2
+
3
+ const context = `
4
+ The Eiffel Tower is a wrought iron lattice tower in Paris, France. It was designed by Gustave Eiffel and completed in 1889.
5
+ It stands at a height of 330 meters and is one of the most recognizable structures in the world.
6
+ `;
7
+ const query = "What is the height of the Eiffel Tower?";
8
+
9
+ const conversation = [
10
+ { content: "user: Hi there! Can you tell me about the capital of France?" },
11
+ { content: "agent: Hello! The capital of France is Paris. It's known for landmarks like the Eiffel Tower and the Louvre Museum." },
12
+ { content: "user: What's the weather like there today?" }
13
+ ];
14
+
15
+
16
+ async function main() {
17
+ try {
18
+ const teapotAI = new TeapotAI({
19
+ // modelId: 'teapotai/teapotllm'
20
+ modelId: './'
21
+ });
22
+ await teapotAI.initialize();
23
+
24
+ // --- Example 1: Query Method ---
25
+ console.log("\n--- Running Query Example ---");
26
+ const queryAnswer = await teapotAI.query(query, context);
27
+ console.log("\nQuery Answer:");
28
+ console.log(queryAnswer);
29
+
30
+ // --- Example 2: Chat Method ---
31
+ if (teapotAI.verbose) console.log("\n--- Running Chat Example ---");
32
+ const chatResponse = await teapotAI.chat(conversation);
33
+ console.log("\nChat Response:");
34
+ console.log(chatResponse);
35
+ } catch (error) {
36
+ console.error("\n--- An error occurred ---");
37
+ console.error(error);
38
+ }
39
+ }
40
+
41
+ main();
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package.json ADDED
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+ {
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+ "name": "teapotllm.js",
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+ "version": "1.0.0",
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+ "main": "index.js",
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+ "license": "MIT",
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+ "type": "module",
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+ "scripts": {
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+ "start": "node index.js"
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+ },
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+ "dependencies": {
11
+ "@huggingface/transformers": "^3.4.1"
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+ }
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+ }
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