Update app.py

app.py

@@ -1,10 +1,19 @@
 import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
 
-with gr.Blocks(fill_height=True) as demo:
-    with gr.Sidebar():
-        gr.Markdown("# Inference Provider")
-        gr.Markdown("This Space showcases the Qwen/Qwen3-30B-A3B model, served by the fireworks-ai API. Sign in with your Hugging Face account to use this API.")
-        button = gr.LoginButton("Sign in")
-    gr.load("models/Qwen/Qwen3-30B-A3B", accept_token=button, provider="fireworks-ai")
-    
-demo.launch()
+# Load model and tokenizer
+model_name = "deepseek-ai/DeepSeek-R1-Distill-Llama-70B-free"
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+# Function to generate text
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(inputs["input_ids"], max_length=50)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Set up Gradio Interface
+iface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
+
+# Launch app
+iface.launch()