Update app.py

app.py

@@ -5,10 +5,6 @@ from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 """
 For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
 """
-#client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-#client = InferenceClient("vennify/t5-base-grammar-correction")
-#gr.load("models/vennify/t5-base-grammar-correction").launch()
-
 # Load the model and tokenizer
 model_name = "vennify/t5-base-grammar-correction"
 model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
@@ -28,15 +24,7 @@ def correct_text(text, max_length, num_beams, temperature, top_p):
     return corrected_text
 
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    num_beams,
-    temperature,
-    top_p,
-):
+def respond(message, history: list[tuple[str, str]], system_message, max_length, min_length, num_beams, temperature, top_p):
     #messages = [{"role": "system", "content": system_message}]
 
     #for val in history:
@@ -47,7 +35,7 @@ def respond(
 
     #messages.append({"role": "user", "content": message})
 
-    response = correct_text(message, max_tokens, num_beams, temperature, top_p)
+    response = correct_text(message, max_length, min_length, num_beams, temperature, top_p)
     yield response
 
 """
@@ -57,7 +45,8 @@ demo = gr.ChatInterface(
     respond,
     additional_inputs=[
         gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1,   maximum=2048, value=512,  step=1,    label="Max new tokens"),
+        gr.Slider(minimum=1,   maximum=2048, value=100,  step=1,    label="Max Length"),
+        gr.Slider(minimum=1,   maximum=2048, value=0,    step=1,    label="Min Length"),
         gr.Slider(minimum=1,   maximum=10,   value=5,    step=1,    label="Num Beams"),
         gr.Slider(minimum=0.1, maximum=4.0,  value=0.7,  step=0.1,  label="Temperature"),
         gr.Slider(minimum=0.1, maximum=1.0,  value=0.95, step=0.05, label="Top-p (nucleus sampling)"),