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app.py

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+import openai
+import gradio as gr
+import os
+
+#OpenAi call
+def regex(texts):
+    openai.api_key = os.environ["Secret"]
+    response = openai.Completion.create(
+      engine="code-davinci-002",
+      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 regex response from model
+def greet(prompt):
+    txt= (f'''Perfect Regex Generator \n #Prompt: {prompt}\n#Regex:\n''')
+    regex = gpt3(txt)
+    return sql
+
+
+#Code to set up Gradio UI
+iface = gr.Interface(greet, inputs = ["text"], outputs = "text",title="Natural Language to Regex", description="Enter any prompt and get a regex statement back! For better results, give it more context")
+iface.launch()