Create R2Python.py

R2Python.py

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+import gradio as gr
+import openai
+import os
+
+# Set the API key for the OpenAI API
+openai.api_key = os.environ["OPENAI_SECRET_KEY"]
+
+# Set the model to use (e.g. "text-davinci-002")
+model = "text-davinci-002"
+
+def convert_code(code, from_lang, to_lang):
+    """
+    Convert the given code from the specified source language to the
+    specified target language using GPT-3.
+    """
+    # Set the prompt to use as input to the model
+    prompt = f"Convert {from_lang} code to {to_lang} code:\n{code}"
+
+    # Call the GPT-3 API to generate text
+    response = openai.Completion.create(
+        engine=model,
+        prompt=prompt,
+        max_tokens=1024,
+        temperature=0.5,
+        top_p=1,
+        frequency_penalty=0,
+        presence_penalty=0
+    )
+
+    # Return the generated text
+    return response["choices"][0]["text"]
+
+# Create the Gradio app
+app = gr.Interface(
+    fn=convert_code,
+    inputs=gr.inputs.Textbox(lines=10, label="Code to convert"),