Update app.py

app.py

@@ -2,6 +2,7 @@ import torch
 import pandas as pd
 from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM, AutoModelForSequenceClassification, TrainingArguments 
 import gradio as gr
+from gradio.mix import Parallel, Series
 #import torch.nn.functional as F
 
 from datasets import load_dataset
@@ -24,4 +25,4 @@ print(tokenizer.decode(output[0]))
 
 generator = gr.Interface.load("models/EleutherAI/gpt-neo-125M")
 translator = gr.Interface.load("models/Helsinki-NLP/opus-mt-en-ml")
-gr.Series(generator, translator).launch()  # this demo generates text, then translates it to Malayalam, and outputs the final result.
+gr.Series(generator, translator, inputs=gr.inputs.Textbox(lines=13, label="Input Text")).launch()  # this demo generates text, then translates it to Malayalam, and outputs the final result.