Update app.py

app.py

@@ -1,43 +1,4 @@
 import gradio as gr
 from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
 
-model_name = "Kongfha/PhraAphaiManee-LM"
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForCausalLM.from_pretrained(model_name)
-
-nlp = pipeline("text-generation",
-                    model=model,
-                    tokenizer=tokenizer)
-
-def generate(input_sentence, max_length=140, top_k=50, temperature=1.0):
-    generated_text = nlp(input_sentence, 
-                        max_length=max_length, 
-                        do_sample=True, 
-                        top_k=top_k, 
-                        temperature=temperature)
-    return generated_text[0]['generated_text']
-
-inputs = [
-    gr.inputs.Textbox(label="Input Sentence"),
-    gr.inputs.Number(default=140, label="Max Length"),
-    gr.inputs.Number(default=50, label="Top K"),
-    gr.inputs.Slider(minimum=0.1, maximum=2.0, default=1.0, label="Temperature", step=0.1),
-]
-
-outputs = gr.outputs.Textbox(label="Generated Text")
-
-examples = [
-    ["๏ เรือล่อง", 100, 20, 0.5],
-    ["๏ แม้นชีวี", 120, 30, 0.7],
-    ["๏ หากวันใด", 140, 50, 1.0],
-    ["๏ หากจำเป็น", 160, 70, 1.5]
-]
-
-iface = gr.Interface(
-  fn=generate, 
-  inputs=inputs,
-  outputs=outputs,
-  examples=examples
-)
-
-iface.launch()
+print("yeahhh")