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text2sql
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kotimalla commited on
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1 Parent(s): 38e20ff

nvjsd

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Files changed (11) hide show
  1. .dockerignore +27 -0
  2. Dockerfile +20 -0
  3. app.py +29 -0
  4. requirements.txt +4 -0
  5. templates/index.html +39 -0
  6. text2sql/model/config.json +60 -0
  7. text2sql/model/generation_config.json +7 -0
  8. text2sql/model/pytorch_model.bin +3 -0
  9. text2sql/model/special_tokens_map.json +107 -0
  10. text2sql/model/spiece.model +3 -0
  11. text2sql/model/tokenizer_config.json +112 -0
.dockerignore ADDED
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+ **/__pycache__
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+ **/.venv
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+ **/.classpath
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+ **/.dockerignore
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+ **/.env
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+ **/.git
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+ **/.gitignore
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+ **/.project
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+ **/.settings
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+ **/.toolstarget
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+ **/.vs
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+ **/.vscode
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+ **/*.*proj.user
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+ **/*.dbmdl
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+ **/*.jfm
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+ **/bin
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+ **/charts
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+ **/docker-compose*
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+ **/compose*
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+ **/Dockerfile*
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+ **/node_modules
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+ **/npm-debug.log
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+ **/obj
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+ **/secrets.dev.yaml
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+ **/values.dev.yaml
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+ LICENSE
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+ README.md
Dockerfile ADDED
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+ # Use the official Python image as base
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+ FROM python:3.8-slim-buster
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+
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+ # Set the working directory
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+ WORKDIR /code
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+
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+ # Copy the requirements file into the container
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+ COPY requirements.txt requirements.txt
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+
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+ # Install dependencies
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+ RUN pip install -r requirements.txt
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+
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+ # Copy the rest of the application code into the container
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+ COPY . .
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+
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+ # Expose the port the app runs on
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+ EXPOSE 5000
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+
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+ # Define the command to run the app when the container starts
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+ CMD ["python", "app.py"]
app.py ADDED
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+ from flask import Flask, render_template, request, jsonify
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+ from transformers import T5ForConditionalGeneration, T5Tokenizer
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+
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+ app = Flask(__name__)
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+
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+ # Load the trained model
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+ model = T5ForConditionalGeneration.from_pretrained("text2sql/model")
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+ tokenizer = T5Tokenizer.from_pretrained("text2sql/model")
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+
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+ @app.route('/')
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+ def home():
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+ return render_template('index.html')
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+
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+ @app.route('/predict', methods=['POST'])
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+ def predict():
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+ if request.method == 'POST':
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+ input_text = "translate English to SQL : " + request.form['input_text']
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+
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+ # Preprocess input
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+ input_ids = tokenizer(input_text, return_tensors="pt", padding=True, truncation=True)["input_ids"]
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+
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+ # Generate SQL query
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+ output = model.generate(input_ids)
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+ predicted_sql = tokenizer.decode(output[0], skip_special_tokens=True)
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+
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+ return render_template('index.html', input_text=input_text, predicted_sql=predicted_sql)
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+
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+ if __name__ == '__main__':
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+ app.run(host='0.0.0.0', port=5000)
requirements.txt ADDED
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+ flask==2.1.2
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+ transformers==4.11.0
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+ torch==1.11.0
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+ sentencepiece
templates/index.html ADDED
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+ <!DOCTYPE html>
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+ <html>
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+ <head>
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+ <title>Sentence to SQL App</title>
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+ <style>
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+ body {
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+ text-align: center;
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+ }
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+ h1 {
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+ margin-bottom: 20px;
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+ }
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+ textarea {
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+ width: 70%;
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+ height: 150px;
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+ resize: vertical;
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+ padding: 10px;
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+ }
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+ button {
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+ margin-top: 10px;
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+ }
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+ h2 {
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+ margin-top: 20px;
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+ }
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+ </style>
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+ </head>
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+ <body>
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+ <h1>Sentence to SQL App</h1>
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+ <form method="POST" action="/predict">
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+ <textarea name="input_text" rows="4" cols="50" placeholder="Enter a sentence"></textarea>
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+ <br>
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+ <button type="submit">Predict SQL</button>
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+ </form>
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+ <br>
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+ {% if predicted_sql %}
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+ <h2>Predicted SQL Query:</h2>
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+ <p>{{ predicted_sql }}</p>
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+ {% endif %}
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+ </body>
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+ </html>
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+ "_name_or_path": "t5-base",
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+ "architectures": [
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+ "T5ForConditionalGeneration"
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+ ],
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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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+ "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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+ "torch_dtype": "float32",
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+ "transformers_version": "4.30.2",
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+ "use_cache": true,
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+ "vocab_size": 32128
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+ }
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+ "eos_token_id": 1,
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+ "transformers_version": "4.30.2"
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+ }
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