Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+import subprocess
+subprocess.check_call(["pip", "install", "transformers"])
+subprocess.check_call(["pip", "install", "torch"])
+
+from transformers import pipeline
+
+pipe = pipeline("text2text-generation", model="balaramas/mbart-sahitrans_new_data")
+
+
+def sanmt(txt):
+    output=pipe(txt, max_length=20, min_length=5, do_sample=False)[0]['generated_text']  
+    return output
+
+iface = gr.Interface(
+    fn=sanmt, 
+    inputs=gr.Textbox(label="Enter text in Sanskrit", placeholder="Type here..."), 
+    outputs=gr.Textbox(label="Translated Hindi Text"),
+    title="Sanskrit to Hindi Translator"
+)
+iface.launch()