Update app.py

app.py

@@ -1,19 +1,8 @@
 import openai
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 import gradio as gr
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 import os
 
 
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 #OpenAi call
 
 
@@ -21,82 +10,28 @@ def gpt3(texts):
 
 
    openai.api_key = os.environ["Secret"]
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    response = openai.Completion.create(
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-     engine="code-davinci-002",
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-     prompt= texts,
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-         temperature=0,
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-         max_tokens=750,
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-         top_p=1,
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-         frequency_penalty=0.0,
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-         presence_penalty=0.0,
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-         stop = (";", "/*", "</code>")
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-   )
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-   x = response.choices[0].text
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-   return x
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-# Function to elicit sql response from model
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+      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
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+# Function to elicit regex response from model
 def greet(prompt):
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-   txt= (f'''/*Prompt: {prompt}*/ \n —-SQL Code:\n''')
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-   sql = gpt3(txt)
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-   return sql
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+    txt= (f'''Perfect Regex Generator \n #Prompt: {prompt}\n#Regex:\n''')
+    regex = gpt3(txt)
+    return regex
 
 
 #Code to set up Gradio UI
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-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")
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+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()