Create app.py

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the model
+pipe = pipeline("text-classification", model="Qwen/Qwen2.5-Math-PRM-72B", trust_remote_code=True)
+
+# Define a function to generate responses
+def generate_response(prompt):
+    output = pipe(prompt)
+    return output[0]['label']
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=generate_response,
+    inputs="text",
+    outputs="text",
+    title="Qwen2.5 Math Model",
+    description="Ask a math question and get an answer!"
+)
+
+# Launch the interface
+iface.launch()