asd

app.py

@@ -1,60 +1,8 @@
-# # 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"
@@ -62,59 +10,111 @@ 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."""
-    humanized_text = AI_text
-    attempts = 0
-    max_attempts = 5
-
-    while attempts < max_attempts:
-        response = client.chat.completions.create(
-            model=finetuned_model,
-            temperature=0.888,
-            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
+  """Humanizes the provided AI text using the fine-tuned model."""
+  response = completion = client.chat.completions.create(
+  model=finetuned_model,
+  temperature = 0.95,
+  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
 
-    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)
+
+# 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"
+
+# # 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."""
+#     humanized_text = AI_text
+#     attempts = 0
+#     max_attempts = 5
+
+#     while attempts < max_attempts:
+#         response = client.chat.completions.create(
+#             model=finetuned_model,
+#             temperature=1.0,
+#             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.",
+# )
+
+# # Launch the Gradio app
+# interface.launch(debug=True)