ui controls and reqs

app.py

@@ -1,3 +1,30 @@
 import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
 
-gr.Interface.load("models/aburnazy/opt-350m-hy-wiki-alpaca").launch()
+model_name = "aburnazy/opt-350m-hy-wiki-alpaca"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def generate_text(prompt, temperature, top_k, top_p, max_length):
+    inputs = tokenizer.encode(prompt, return_tensors="pt")
+    outputs = model.generate(inputs, max_length=max_length, temperature=temperature, top_k=top_k, top_p=top_p, do_sample=True)
+    text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return text
+
+iface = gr.Interface(
+    fn=generate_text, 
+    inputs=[
+        gr.inputs.Textbox(lines=2, placeholder=f"""### Instruction:
+Ո՞րն է Հայաստանի մայրաքաղաքը
+### Response:
+
+        """),
+        gr.inputs.Slider(minimum=0, maximum=1, step=0.01, default=0.1, label='Temperature'),
+        gr.inputs.Slider(minimum=0, maximum=100, step=1, default=20, label='Top K'),
+        gr.inputs.Slider(minimum=0, maximum=1, step=0.01, default=0.1, label='Top P'),
+        gr.inputs.Slider(minimum=10, maximum=1024, step=1, default=512, label='Max Length'),
+    ], 
+    outputs="text"
+)
+
+iface.launch()

requirements.txt

@@ -0,0 +1,2 @@
+transformers
+torch