Create app.py

app.py

@@ -0,0 +1,31 @@
+import gradio
+
+model_name = 't5-small'
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+finetuned_model = AutoModelForSeq2SeqLM.from_pretrained("finetuned_model_2_epoch")
+
+question = gradio.Textbox("question")
+context = gradio.Textbox("context")
+
+prompt = f"""Tables:
+{context}
+
+Question:
+{question}
+
+Answer:
+"""
+
+inputs = tokenizer(prompt, return_tensors='pt')
+
+output = tokenizer.decode(
+    finetuned_model.generate(
+        inputs["input_ids"],
+        max_new_tokens=200,
+    )[0],
+    skip_special_tokens=True
+)
+
+print(f'MODEL GENERATION - ZERO SHOT:\n{output}')