Phewww, forgot 3 commas and system crashed, My bad. Maybe this will be final commit to this prototype

app.py

@@ -82,7 +82,7 @@ def generate_text(prompt, tone, max_length, temperature=0.7, top_p=0.9, repetiti
         # max_length=max_length + len(input_text.split()),
         # This sets how long the generated text can be. We add the number of words in our input text (len(input_text.split())) to the max_length the user picked, so the model knows how many total words to create.
         # CHANGE: Use max_new_tokens for clarity instead of calculating total length
-        max_new_tokens=max_length
+        max_new_tokens=max_length,
         # Generate THIS many NEW tokens
         temperature=temperature,
         # This controls how creative the model gets. A lower temperature (e.g., 0.7) keeps things more predictable, while a higher one makes it wilder and more random—think of it like adjusting the spice level!
@@ -92,7 +92,7 @@ def generate_text(prompt, tone, max_length, temperature=0.7, top_p=0.9, repetiti
         # This stops the model from repeating the same words too much. A higher value (e.g., 1.5) pushes it to try new words, like telling it to mix up its vocabulary!
         num_return_sequences=1,
         # This tells the model to give us just one version of the text. If we wanted more options, we could change
-        do_sample=True
+        do_sample=True,
         pad_token_id=tokenizer.eos_token_id # Good practice for generation
     )
     # --- Decode ONLY the generated part ---