Create app.py

app.py

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+import gradio as gr
+import openai
+import re
+
+# Authenticate with OpenAI API
+openai.api_key = "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"
+
+# Set the model and prompt for GPT-2
+model_engine = "text-davinci-002"
+model_prompt = "Rewrite this text:"
+
+# Define the function to generate the paraphrased output
+def paraphrase(text):
+    # Format the input text for the model prompt
+    formatted_text = f"{model_prompt} {text}"
+
+    # Generate the paraphrased output
+    response = openai.Completion.create(
+        engine=model_engine,
+        prompt=formatted_text,
+        max_tokens=1024,
+        n=1,
+        stop=None,
+        temperature=0.7,
+    )
+
+    # Extract the paraphrased text from the response
+    paraphrased_text = response.choices[0].text
+
+    # Clean up the paraphrased text
+    paraphrased_text = re.sub(model_prompt, "", paraphrased_text)
+    paraphrased_text = paraphrased_text.strip()
+
+    return paraphrased_text
+
+# Create the user interface
+input_text = gr.inputs.Textbox(lines=20, label='Input Text')
+output_text = gr.outputs.Textbox(label='Output Text')
+
+app = gr.Interface(paraphrase, inputs=input_text, outputs=output_text, title='GPT-2 Article Rewriter', description='Generate a paraphrased output while preserving the meaning of the input text using OpenAI GPT-2 model.')
+
+# Launch the user interface
+app.launch()