asdadasd

app.py

@@ -1,8 +1,60 @@
+# # import dependencies
+# import gradio as gr
+# from openai import OpenAI
+# import os
+# import re
+
+# # define the openai key
+# api_key = "sk-proj-UCoZZMs4MyfyHwXdHjT8T3BlbkFJjYkSZyPfIPNqXfXwoekm"
+
+# # 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::9qGC8cwZ"
+
+# # 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()
+
+#   return humanized_text
+
+
+# # Gradio interface definition
+# interface = gr.Interface(
+#   fn=humanize_text,
+#   inputs="textbox",
+#   outputs="textbox",
+#   title="AI Text Humanizer: NoaiGPT.com Demo",
+#   description="Enter AI-generated text and get a human-written version.",
+# )
+
+# # Launch the Gradio app
+# interface.launch(debug = True)
+
 # import dependencies
 import gradio as gr
 from openai import OpenAI
 import os
 import re
+from transformers import pipeline
 
 # define the openai key
 api_key = "sk-proj-UCoZZMs4MyfyHwXdHjT8T3BlbkFJjYkSZyPfIPNqXfXwoekm"
@@ -10,41 +62,59 @@ api_key = "sk-proj-UCoZZMs4MyfyHwXdHjT8T3BlbkFJjYkSZyPfIPNqXfXwoekm"
 # 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::9qGC8cwZ"
 
+# Load the AI detection model
+pipe = pipeline("text-classification", model="tommyliphys/ai-detector-distilbert")
+
+# Define the function to get predictions
+def get_prediction(text):
+    return pipe(text)[0]
+
 # 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 = 0.90,
-  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()
-
-  return humanized_text
+    """Humanizes the provided AI text using the fine-tuned model."""
+    humanized_text = AI_text
+    attempts = 0
+    max_attempts = 3
+
+    while attempts < max_attempts:
+        response = 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": "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: {humanized_text}"}
+            ]
+        )
+
+        humanized_text = response.choices[0].message.content.strip()
+        
+        # Check if the humanized text is still detected as AI
+        prediction = get_prediction(humanized_text)
+        
+        if prediction['label'] != 'AI' or prediction['score'] < 0.9:
+            break
+        
+        attempts += 1
 
+    return humanized_text
 
 # Gradio interface definition
 interface = gr.Interface(
-  fn=humanize_text,
-  inputs="textbox",
-  outputs="textbox",
-  title="AI Text Humanizer: NoaiGPT.com Demo",
-  description="Enter AI-generated text and get a human-written version.",
+    fn=humanize_text,
+    inputs="textbox",
+    outputs="textbox",
+    title="AI Text Humanizer: NoaiGPT.com Demo",
+    description="Enter AI-generated text and get a human-written version.",
 )
 
 # Launch the Gradio app
-interface.launch(debug = True)
+interface.launch(debug=True)