Create app.py

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+
+model_id = "heyIamUmair/llama3-3b-merged-legal"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    device_map="auto",
+    torch_dtype="auto"
+)
+
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def chat(query):
+    output = pipe(query, max_new_tokens=200, do_sample=True, temperature=0.7)
+    return output[0]["generated_text"]
+
+gr.ChatInterface(fn=chat, title="🧑‍⚖️ Pakistan Law Chatbot (LLama 3.2)", theme="default").launch()