Duplicate from Curranj/Words_To_SQL

Co-authored-by: curranjanssens <Curranj@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+title: Words_to_sql
+emoji: 🐨
+colorFrom: green
+colorTo: purple
+sdk: gradio
+sdk_version: 3.0.6
+app_file: app.py
+pinned: true
+duplicated_from: Curranj/Words_To_SQL
+---
+
+Natural Language to SQL

app.py

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+import openai
+import gradio as gr
+import os
+
+#OpenAi call
+def gpt3(texts):
+    openai.api_key = os.environ["Secret"]
+    response = openai.Completion.create(
+      engine="text-davinci-003",
+      prompt= texts,
+          temperature=0,
+          max_tokens=750,
+          top_p=1,
+          frequency_penalty=0.0,
+          presence_penalty=0.0,
+          stop = (";", "/*", "</code>")
+    )
+    x = response.choices[0].text 
+    
+    return x
+
+# Function to elicit sql response from model
+def greet(prompt):
+    txt= (f'''/*Prompt: {prompt}*/ \n —-SQL Code:\n''')
+    sql = gpt3(txt)
+    return sql
+
+
+#Code to set up Gradio UI
+iface = gr.Interface(greet, inputs = ["text"], outputs = "text",title="Natural Language to SQL", description="Enter any prompt and get a SQL statement back! For better results, give it more context")
+iface.launch()

requirements.txt

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+openai