Added app.py and requirements.txt

app.py

@@ -0,0 +1,13 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("varshithkumar/gemma-finetuned-sql")
+tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b-it")
+
+def generate_response(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+interface = gr.Interface(fn=generate_response, inputs="text", outputs="text")
+interface.launch()

requirements.txt

@@ -0,0 +1,4 @@
+transformers
+peft
+torch
+gradio