Create app.py

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_name = "mistralai/Mistral-7B-Instruct-v0.1"  # Can switch to Llama later
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype=torch.bfloat16,
+    device_map="auto"
+)
+
+def chat(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+    output = model.generate(**inputs, max_new_tokens=500)
+    response = tokenizer.decode(output[0], skip_special_tokens=True)
+    return response
+
+demo = gr.Interface(fn=chat, inputs="text", outputs="text")
+
+demo.launch()