Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "ai4bharat/Airavata"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+def generate_text(prompt, max_length):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs, max_length=max_length)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+interface = gr.Interface(
+    fn=generate_text,
+    inputs=[
+        gr.inputs.Textbox(label="Enter your prompt"),
+        gr.inputs.Slider(10, 100, step=10, label="Max length")
+    ],
+    outputs="text",
+    title="Airavata Text Generation Model",
+    description="Generate text in Indic languages using the Airavata model."
+)
+
+interface.launch()