Update app.py

app.py

@@ -1,3 +1,27 @@
 import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig,BitsAndBytesConfig
 
-gr.load("models/TinyLlama/TinyLlama-1.1B-Chat-v1.0").launch()
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+model = AutoModelForCausalLM.from_pretrained("models/TinyLlama/TinyLlama-1.1B-Chat-v1.0", trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("models/TinyLlama/TinyLlama-1.1B-Chat-v1.0", trust_remote_code=True)
+
+generation_config = GenerationConfig(
+    penalty_alpha=0.6,
+    do_sample = True,
+    top_k=5,
+    temperature=0.5,
+    repetition_penalty=1.2,
+    max_new_tokens=500,
+    pad_token_id=tokenizer.eos_token_id
+)
+
+def generate_text(input):
+    input_text = f'<|system|>\n You are a chatbot who can help code!</s> \n <|user|> \n {input} \n <|assistant|> \n'
+    input_ids = tokenizer.encode(input_text, return_tensors="pt").to(device)
+    output_ids = model.generate(input_ids, generation_config=generation_config)
+    output_text = tokenizer.decode(output_ids[0],skip_special_tokens=True)
+    return output_text
+
+    
+iface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
+iface.launch()