app.py

# # import dependencies
# import gradio as gr
# from openai import OpenAI
# import os
# import re

# # 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 = "ft:gpt-3.5-turbo-0125:cedarbyte-business-solutions::9f4vd1FP"

# # 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,
#   temperature = 0.85,
#   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}"}
#   ]
#   )

#   humanized_text = response.choices[0].message.content.strip()
#   humanized_text = re.sub(r'[^A-Za-z0-9\s]', '', humanized_text)

#   return humanized_text


# # 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)



import gradio as gr

# Function to handle text submission
def contact_info(text):
    return "Contact [email protected] for Humanizer Application service"

# Gradio interface definition
interface = gr.Interface(
    fn=contact_info,
    inputs="textbox",
    outputs="text",
    title="Contact Information",
    description="Enter text and click submit to get contact information."
)

# Launch the Gradio app
if __name__ == "__main__":
    interface.launch()