Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+import torch
+
+model_name = "google/flan-t5-base"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+def chat(user_input):
+    input_ids = tokenizer(user_input, return_tensors="pt").input_ids
+    outputs = model.generate(input_ids, max_new_tokens=200)
+    reply = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return reply
+
+gr.Interface(fn=chat, inputs="text", outputs="text", title="🧠 Multilingual Chatbot (Hindi + English)").launch()