Create app.py

app.py

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+# import dependencies
+import gradio as gr
+from openai import OpenAI
+import os
+
+# define the openai key
+api_key = os.getenv("OPENAI_API_KEY")
+
+# make an instance of the openai client
+client = OpenAI(api_key = api_key)
+
+# finetuned model instance
+finetuned_model = "sk-proj-PGFdFEaxESEjPvvDiisET3BlbkFJwof4S5zHhSjDgMJqfree"
+
+# function to humanize the text
+def humanize_text(AI_text):
+  """Humanizes the provided AI text using the fine-tuned model."""
+  response = completion = client.chat.completions.create(
+  model=finetuned_model,
+  messages=[
+    {"role": "system", "content": """
+    You are a text humanizer.
+    You humanize AI generated text.
+    The text must appear like humanly written.
+    THE INPUT AND THE OUTPUT TEXT SHOULD HAVE THE SAME FORMAT.
+    THE HEADINGS AND THE BULLETS IN THE INPUT SHOULD REMAIN IN PLACE"""},
+    {"role": "user", "content": f"THE LANGUAGE OF THE INPUT AND THE OUTPUT MUST BE SAME. THE SENTENCES SHOULD NOT BE SHORT LENGTH - THEY SHOULD BE SAME AS IN THE INPUT. ALSO THE PARAGRAPHS SHOULD NOT BE SHORT EITHER - PARAGRAPHS MUST HAVE THE SAME LENGTH"},
+    {"role": "user", "content": f"Humanize the text. Keep the output format i.e. the bullets and the headings as it is and dont use the list of words that are not permissible. \nTEXT: {AI_text}"}
+  ]
+  )
+
+
+  return response.choices[0].message.content.strip()
+
+
+# Gradio interface definition
+interface = gr.Interface(
+  fn=humanize_text,
+  inputs="textbox",
+  outputs="textbox",
+  title="AI Text Humanizer",
+  description="Enter AI-generated text and get a human-written version.",
+)
+
+# Launch the Gradio app
+interface.launch(debug = True)