Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load your model from Hugging Face Hub
+pipe = pipeline("text-classification", model="rbarac/open-rotor-copilot")  # Or your exact model/task
+
+def analyze_text_input(input_str):
+    # Input_str could be: "gyro_std=123.4, vbat_drop=0.91, ..." etc.
+    result = pipe(input_str)
+    return result[0]["label"]
+
+iface = gr.Interface(
+    fn=analyze_text_input,
+    inputs=gr.Textbox(label="Feature string", placeholder="gyro_std=123.4, vbat_drop=0.91, ..."),
+    outputs=gr.Textbox(label="Detected Issue / Reason"),
+    title="Open Rotor Copilot (Single Example)",
+    description="Paste a windowed feature string and get detected issue & explanation."
+)
+
+if __name__ == "__main__":
+    iface.launch()