hd

app.py

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+from flask import Flask, render_template, request, jsonify
+from transformers import T5ForConditionalGeneration, T5Tokenizer
+
+app = Flask(__name__)
+
+# Load the trained model
+model = T5ForConditionalGeneration.from_pretrained("text2sql")
+tokenizer = T5Tokenizer.from_pretrained("t5-small")
+
+@app.route('/')
+def home():
+    return render_template('index.html')
+
+@app.route('/predict', methods=['POST'])
+def predict():
+    if request.method == 'POST':
+        input_text = request.form['input_text']
+        
+        # Preprocess input
+        input_ids = tokenizer(input_text, return_tensors="pt", padding=True, truncation=True).input_ids
+        
+        # Generate SQL query
+        output = model.generate(input_ids)
+        predicted_sql = tokenizer.decode(output[0], skip_special_tokens=True)
+        
+        return render_template('index.html', input_text=input_text, predicted_sql=predicted_sql)
+
+if __name__ == '__main__':
+    app.run()

app.txt

@@ -0,0 +1,2 @@
+flask
+transformers

requirements.txt

@@ -0,0 +1,2 @@
+flask
+transformers

text2sql/config.json

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+{
+  "_name_or_path": "t5-small",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "relu",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "relu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": false,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_decoder_layers": 6,
+  "num_heads": 8,
+  "num_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "task_specific_params": {
+    "summarization": {
+      "early_stopping": true,
+      "length_penalty": 2.0,
+      "max_length": 200,
+      "min_length": 30,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4,
+      "prefix": "summarize: "
+    },
+    "translation_en_to_de": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
+    "translation_en_to_ro": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.30.2",
+  "use_cache": true,
+  "vocab_size": 32128
+}

text2sql/generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.30.2"
+}

text2sql/pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb866bfbb4728297c79d5290f37c8a870760a8d44fc969581683c90b965b58b2
+size 242071641