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b653672
1
Parent(s):
5506729
adding dependancies
Browse files- app.py +21 -10
- requirments.txt +3 -2
app.py
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@@ -1,28 +1,37 @@
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import gradio as gr
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from transformers import AutoTokenizer,
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# Load model + tokenizer
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model_name = "
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model =
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def text_to_sql(question, schema=""):
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"""
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Convert natural language question into SQL query.
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Schema can be passed as a string (table + column names).
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"""
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# Format input as Spider expects
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if schema:
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prompt = f"{schema} {question}"
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else:
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prompt = question
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inputs = tokenizer(prompt, return_tensors="pt"
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outputs = model.generate(
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sql_query = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return sql_query
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# Define
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iface = gr.Interface(
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fn=text_to_sql,
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inputs=[
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gr.Textbox(label="Schema (optional)", placeholder="table: columns, ...")
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],
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outputs="text",
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)
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# Launch
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iface.launch()
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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# Load model + tokenizer
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model_name = "premai-io/prem-1B-SQL"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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torch_dtype=torch.float16,
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device_map="auto" # Uses GPU if available on Spaces
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)
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def text_to_sql(question, schema=""):
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"""
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Convert natural language question into SQL query.
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Schema can be passed as a string (table + column names).
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"""
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if schema:
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prompt = f"{schema}\nQuestion: {question}\nSQL:"
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else:
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prompt = f"Question: {question}\nSQL:"
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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outputs = model.generate(
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**inputs,
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max_new_tokens=256,
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temperature=0.2, # Low temp for deterministic SQL
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do_sample=False
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)
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sql_query = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return sql_query
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# Define Gradio interface (API-like, minimal UI)
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iface = gr.Interface(
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fn=text_to_sql,
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inputs=[
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gr.Textbox(label="Schema (optional)", placeholder="table: columns, ...")
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],
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outputs="text",
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title="Text-to-SQL Converter",
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description="Convert natural language questions into SQL queries using the premai-io/prem-1B-SQL model."
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)
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# Launch (for Spaces: set share=False, HF will handle the endpoint)
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iface.launch()
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requirments.txt
CHANGED
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@@ -1,2 +1,3 @@
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-
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-
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+
transformers
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+
torch
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+
gradio
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