Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+# Load DeepSeek model
+model_id = "deepseek-ai/deepseek-llm-7b-chat"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
+
+
+def generate_response(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+    outputs = model.generate(
+        **inputs,
+        do_sample=True,
+        temperature=1.0,
+        top_p=0.9
+    )
+
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+    # return "Hello " + name + "!!"
+
+demo = gr.Interface(fn=generate_response, inputs="text", outputs="text")
+demo.launch()