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Tone_formalizer

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Files changed (13) hide show
  1. __pycache__/main.cpython-312.pyc +0 -0
  2. index.html +86 -0
  3. main.py +109 -0
  4. requirements.txt +5 -0
  5. tone_slider_model_quantized/config.json +60 -0
  6. tone_slider_model_quantized/decoder_model_quantized.onnx +3 -0
  7. tone_slider_model_quantized/decoder_with_past_model_quantized.onnx +3 -0
  8. tone_slider_model_quantized/encoder_model_quantized.onnx +3 -0
  9. tone_slider_model_quantized/ort_config.json +33 -0
  10. tone_slider_model_quantized/special_tokens_map.json +125 -0
  11. tone_slider_model_quantized/spiece.model +3 -0
  12. tone_slider_model_quantized/tokenizer.json +0 -0
  13. tone_slider_model_quantized/tokenizer_config.json +941 -0
__pycache__/main.cpython-312.pyc ADDED
Binary file (3.68 kB). View file
 
index.html ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <!DOCTYPE html>
2
+ <html lang="en">
3
+ <head>
4
+ <meta charset="UTF-8">
5
+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
6
+ <title>Tone Slider AI</title>
7
+ <style>
8
+ body { font-family: sans-serif; display: flex; justify-content: center; align-items: center; height: 100vh; background: #f0f2f5; }
9
+ .card { background: white; padding: 2rem; border-radius: 12px; box-shadow: 0 4px 12px rgba(0,0,0,0.1); width: 400px; }
10
+ h2 { text-align: center; margin-bottom: 1.5rem; color: #333; }
11
+
12
+ /* The Slider Toggle */
13
+ .slider-container { display: flex; justify-content: center; margin-bottom: 1.5rem; gap: 10px; font-weight: bold; }
14
+ .switch { position: relative; display: inline-block; width: 60px; height: 34px; }
15
+ .switch input { opacity: 0; width: 0; height: 0; }
16
+ .slider { position: absolute; cursor: pointer; top: 0; left: 0; right: 0; bottom: 0; background-color: #ff9f43; transition: .4s; border-radius: 34px; }
17
+ .slider:before { position: absolute; content: ""; height: 26px; width: 26px; left: 4px; bottom: 4px; background-color: white; transition: .4s; border-radius: 50%; }
18
+ input:checked + .slider { background-color: #2e86de; } /* Blue for Formal */
19
+ input:checked + .slider:before { transform: translateX(26px); }
20
+
21
+ textarea { width: 100%; height: 100px; padding: 10px; border: 1px solid #ccc; border-radius: 8px; margin-bottom: 1rem; resize: none; font-family: inherit; }
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+ button { width: 100%; padding: 12px; background: #333; color: white; border: none; border-radius: 8px; cursor: pointer; font-size: 1rem; transition: 0.2s; }
23
+ button:hover { background: #000; }
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+
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+ #output { margin-top: 1.5rem; padding: 1rem; background: #e9ecef; border-radius: 8px; font-style: italic; min-height: 50px; display: none; }
26
+ .badge { font-size: 0.8rem; padding: 2px 6px; border-radius: 4px; margin-left: 5px; }
27
+ </style>
28
+ </head>
29
+ <body>
30
+
31
+ <div class="card">
32
+ <h2>AI Tone Slider</h2>
33
+
34
+ <div class="slider-container">
35
+ <span style="color: #ff9f43">Casual</span>
36
+ <label class="switch">
37
+ <input type="checkbox" id="toneSlider">
38
+ <span class="slider"></span>
39
+ </label>
40
+ <span style="color: #2e86de">Formal</span>
41
+ </div>
42
+
43
+ <textarea id="inputText" placeholder="Type something rude here... (e.g., Your code is garbage)"></textarea>
44
+
45
+ <button onclick="transform()">Fix My Tone ✨</button>
46
+
47
+ <div id="output"></div>
48
+ </div>
49
+
50
+ <script>
51
+ async function transform() {
52
+ const text = document.getElementById('inputText').value;
53
+ const isFormal = document.getElementById('toneSlider').checked;
54
+ const style = isFormal ? 'formal' : 'casual';
55
+ const outputDiv = document.getElementById('output');
56
+ const btn = document.querySelector('button');
57
+
58
+ if (!text) return;
59
+
60
+ // UI Loading State
61
+ btn.innerText = "Processing...";
62
+ btn.disabled = true;
63
+ outputDiv.style.display = 'none';
64
+
65
+ try {
66
+ const response = await fetch('http://127.0.0.1:8000/transform', {
67
+ method: 'POST',
68
+ headers: { 'Content-Type': 'application/json' },
69
+ body: JSON.stringify({ text: text, style: style })
70
+ });
71
+
72
+ const data = await response.json();
73
+
74
+ outputDiv.innerHTML = `<strong>Result:</strong> ${data.transformed} <br><br> <span class="badge" style="background:#ddd">⚡ ${data.latency_ms}ms</span>`;
75
+ outputDiv.style.display = 'block';
76
+ } catch (error) {
77
+ alert("Error connecting to server. Is it running?");
78
+ }
79
+
80
+ btn.innerText = "Fix My Tone ✨";
81
+ btn.disabled = false;
82
+ }
83
+ </script>
84
+
85
+ </body>
86
+ </html>
main.py ADDED
@@ -0,0 +1,109 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from fastapi import FastAPI, HTTPException
2
+ from fastapi.middleware.cors import CORSMiddleware
3
+ from pydantic import BaseModel
4
+ from contextlib import asynccontextmanager
5
+ from transformers import AutoTokenizer
6
+ from optimum.onnxruntime import ORTModelForSeq2SeqLM
7
+ import time
8
+
9
+
10
+ # ==========================================
11
+ # 1. GLOBAL STATE & LIFESPAN
12
+ # ==========================================
13
+ # We store the model in a global dictionary so it stays in memory
14
+ ml_models = {}
15
+
16
+ @asynccontextmanager
17
+ async def lifespan(app: FastAPI):
18
+ # --- STARTUP LOGIC ---
19
+ print("⚡ Loading Quantized Model into RAM...")
20
+ model_path = "./tone_slider_model_quantized"
21
+
22
+ try:
23
+ # Load Tokenizer
24
+ ml_models["tokenizer"] = AutoTokenizer.from_pretrained(model_path)
25
+
26
+ # Load ONNX Model (Explicit filenames to avoid warnings)
27
+ ml_models["model"] = ORTModelForSeq2SeqLM.from_pretrained(
28
+ model_path,
29
+ encoder_file_name="encoder_model_quantized.onnx",
30
+ decoder_file_name="decoder_model_quantized.onnx",
31
+ decoder_with_past_file_name="decoder_with_past_model_quantized.onnx",
32
+ provider="CPUExecutionProvider"
33
+ )
34
+ print("✅ Model loaded and ready!")
35
+ except Exception as e:
36
+ print(f"❌ Failed to load model: {e}")
37
+
38
+ yield
39
+
40
+ # --- SHUTDOWN LOGIC ---
41
+ ml_models.clear()
42
+ print("🛑 Model unloaded.")
43
+
44
+ # ==========================================
45
+ # 2. APP SETUP
46
+ # ==========================================
47
+ app = FastAPI(lifespan=lifespan, title="Tone Slider API")
48
+
49
+ # Enable CORS (Allows your frontend to talk to this API)
50
+ app.add_middleware(
51
+ CORSMiddleware,
52
+ allow_origins=["*"], # In production, replace "*" with your frontend URL
53
+ allow_credentials=True,
54
+ allow_methods=["*"],
55
+ allow_headers=["*"],
56
+ )
57
+
58
+ # ==========================================
59
+ # 3. DATA MODELS
60
+ # ==========================================
61
+ class ToneRequest(BaseModel):
62
+ text: str
63
+ style: str # Expecting "casual" or "formal"
64
+
65
+ class ToneResponse(BaseModel):
66
+ original: str
67
+ transformed: str
68
+ latency_ms: float
69
+
70
+ # ==========================================
71
+ # 4. THE ENDPOINT
72
+ # ==========================================
73
+ @app.post("/transform", response_model=ToneResponse)
74
+ async def transform_text(request: ToneRequest):
75
+ if "model" not in ml_models:
76
+ raise HTTPException(status_code=503, detail="Model not loaded")
77
+
78
+ tokenizer = ml_models["tokenizer"]
79
+ model = ml_models["model"]
80
+
81
+ start_time = time.time()
82
+
83
+ # 1. Preprocess Input
84
+ # Validating style to prevent injection
85
+ style_prefix = "casual: " if request.style.lower() == "casual" else "formal: "
86
+ input_text = style_prefix + request.text
87
+
88
+ # 2. Inference
89
+ inputs = tokenizer(input_text, return_tensors="pt")
90
+
91
+ # Generate (Greedy search is fastest for CPU)
92
+ outputs = model.generate(
93
+ **inputs,
94
+ max_length=64,
95
+ do_sample=False
96
+ )
97
+
98
+ # 3. Decode
99
+ result = tokenizer.decode(outputs[0], skip_special_tokens=True)
100
+
101
+ duration = (time.time() - start_time) * 1000
102
+
103
+ return ToneResponse(
104
+ original=request.text,
105
+ transformed=result,
106
+ latency_ms=round(duration, 2)
107
+ )
108
+
109
+ # Run with: uvicorn main:app --reload
requirements.txt ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
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+ fastapi
2
+ uvicorn[standard]
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+ optimum[onnxruntime]
4
+ transformers
5
+ pydantic
tone_slider_model_quantized/config.json ADDED
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+ {
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+ "architectures": [
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+ "T5ForConditionalGeneration"
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+ ],
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+ "classifier_dropout": 0.0,
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+ "d_ff": 3072,
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+ "d_kv": 64,
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+ "d_model": 768,
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+ "decoder_start_token_id": 0,
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+ "dense_act_fn": "relu",
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+ "dropout_rate": 0.1,
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+ "dtype": "float32",
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+ "eos_token_id": 1,
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+ "feed_forward_proj": "relu",
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "is_gated_act": false,
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "t5",
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+ "n_positions": 512,
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+ "num_decoder_layers": 12,
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+ "num_heads": 12,
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+ "num_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "task_specific_params": {
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+ "summarization": {
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+ "early_stopping": true,
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+ "length_penalty": 2.0,
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+ "max_length": 200,
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+ "min_length": 30,
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+ "no_repeat_ngram_size": 3,
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+ "num_beams": 4,
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+ "prefix": "summarize: "
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+ },
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+ "translation_en_to_de": {
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+ "early_stopping": true,
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+ "max_length": 300,
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+ "num_beams": 4,
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+ "prefix": "translate English to German: "
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+ },
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+ "translation_en_to_fr": {
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+ "early_stopping": true,
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+ "max_length": 300,
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+ "num_beams": 4,
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+ "prefix": "translate English to French: "
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+ },
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+ "translation_en_to_ro": {
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+ "early_stopping": true,
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+ "max_length": 300,
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+ "num_beams": 4,
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+ "prefix": "translate English to Romanian: "
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+ }
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+ },
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+ "transformers_version": "4.55.4",
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+ "use_cache": true,
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+ "vocab_size": 32128
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+ }
tone_slider_model_quantized/decoder_model_quantized.onnx ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:028baf5dd0644c950b99df65262a65eb23844e7ec8078d78a0316a00754420f6
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+ size 163425289
tone_slider_model_quantized/decoder_with_past_model_quantized.onnx ADDED
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tone_slider_model_quantized/encoder_model_quantized.onnx ADDED
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tone_slider_model_quantized/ort_config.json ADDED
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+ {
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+ "one_external_file": true,
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+ "opset": null,
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+ "optimization": {},
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+ "quantization": {
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+ "activations_dtype": "QUInt8",
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+ "activations_symmetric": false,
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+ "format": "QOperator",
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+ "is_static": false,
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+ "mode": "IntegerOps",
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+ "nodes_to_exclude": [],
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+ "nodes_to_quantize": [],
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+ "operators_to_quantize": [
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+ "Conv",
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+ "MatMul",
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+ "Attention",
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+ "LSTM",
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+ "Gather",
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+ "Transpose",
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+ "EmbedLayerNormalization"
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+ ],
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+ "per_channel": false,
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+ "qdq_add_pair_to_weight": false,
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+ "qdq_dedicated_pair": false,
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+ "qdq_op_type_per_channel_support_to_axis": {
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+ "MatMul": 1
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+ },
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+ "reduce_range": false,
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+ "weights_dtype": "QInt8",
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+ "weights_symmetric": true
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+ },
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+ "use_external_data_format": false
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+ }
tone_slider_model_quantized/special_tokens_map.json ADDED
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tone_slider_model_quantized/spiece.model ADDED
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tone_slider_model_quantized/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tone_slider_model_quantized/tokenizer_config.json ADDED
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