Update app.py

app.py

@@ -1,72 +1,70 @@
-# # import dependencies
-# import gradio as gr
-# from openai import OpenAI
-# import os
-# import re
+# import dependencies
+import gradio as gr
+from openai import OpenAI
+import os
 
-# # define the openai key
-# api_key = os.getenv("OPENAI_API_KEY")
+# define the openai key
+api_key = os.getenv("OPENAI_API_KEY")
 
-# # make an instance of the openai client
-# client = OpenAI(api_key = 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:personal::9rCHMo9V"
 
-# # 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,
+  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}"}
+  ]
+  )
 
-# # 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 response.choices[0].message.content.strip()
 
-#   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.",
+)
 
-# # 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)
 
-# # 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."
-)
+# import gradio as gr
 
-# Launch the Gradio app
-if __name__ == "__main__":
-    interface.launch()
+# # Function to handle text submission
+# def contact_info(text):
+#     return "Contact farhan.[email protected] for Humanizer Application service"
+
+# # Gradio interface definition
+# interface = gr.Interface(
+#     fn=contact_info,
+#     inputs="textbox",
+#     outputs="text",
+#     title="AI TEXT HUMANIZER",
+#     description="Enter AI text and get its humanizer equivalent"
+# )
+
+# # Launch the Gradio app
+# if __name__ == "__main__":
+#     interface.launch()