Update app.py

app.py

@@ -32,29 +32,27 @@ model_gpt2 = GPT2LMHeadModel.from_pretrained('gpt2')
 # Create a pipeline for text generation using GPT-2
 text_generator = pipeline("text-generation", model=model_gpt2, tokenizer=tokenizer_gpt2)
 
+
 # Define prompt template for generating the dataset
 prompt_template = """\
-You are an AI specialized in generating synthetic tabular data specifically for machine learning purposes.
-
+You are an AI designed exclusively for generating synthetic tabular datasets.
 Task: Generate a synthetic dataset based on the provided description and column names.
-
 Description: {description}
-
 Columns: {columns}
-
 Instructions:
-
-Output only the tabular data in valid CSV format.
-Include the header row followed by the data rows.
-Do not generate any additional text, explanations, comments, or code.
-Ensure that the values for each column are contextually appropriate.
-
-Format Example (do not include this line or the following example in your output):
+- Output only the tabular data in valid CSV format.
+- Include the header row followed strictly by the data rows.
+- Do not include any additional text, explanations, comments, or code outside of the CSV data.
+- Ensure that the values for each column are contextually appropriate based on the description.
+- Do not alter the column names or add any new columns.
+- Each row must contain data for all columns without any empty values unless specified.
+- Format Example (do not include this line or the following example in your output):
 Column1,Column2,Column3
 Value1,Value2,Value3
 Value4,Value5,Value6
 """
 
+
 # Define generation parameters
 generation_params = {
     "top_p": 0.90,