Create app.py

app.py

@@ -0,0 +1,73 @@
+import os
+import gradio as gr
+from gradio import FlaggingCallback
+from gradio.components import IOComponent
+
+from datasets import load_dataset
+from typing import List, Optional, Any
+import argilla as rg
+import os
+
+def load_data():
+    ds = load_dataset("merve/turkish_instructions", split="train", streaming=True)
+    sample = next(iter(ds))
+
+    return sample
+
+
+def create_record(sample, feedback):
+    status = "Validated" if feedback == "Doğru" else "Default"
+    #sample = next(iter(ds))
+    fields = {
+        "talimat": sample["talimat"], 
+        "input": sample["giriş"], 
+        "response": sample["çıktı"]
+    }
+    
+    # the label will come from the flag object in Gradio
+    label = "True"
+    
+    record = rg.TextClassificationRecord(
+        inputs=fields,
+        annotation=label,
+        status=status,
+        metadata={"feedback": feedback}
+    )
+    
+    print(record)
+    return record
+
+
+
+
+class ArgillaLogger(FlaggingCallback):
+    def __init__(self, api_url, api_key, dataset_name):
+        rg.init(api_url=api_url, api_key=api_key)
+        self.dataset_name = dataset_name
+    def setup(self, components: List[IOComponent], flagging_dir: str):
+        pass
+    def flag(
+        self,
+        flag_data: List[Any],
+        flag_option: Optional[str] = None,
+        flag_index: Optional[int] = None,
+        username: Optional[str] = None,
+    ) -> int:
+        text = flag_data[0]
+        inference = flag_data[1]
+        rg.log(name=self.dataset_name, records=create_record(text, flag_option))
+
+
+        
+
+gr.Interface(
+    title = "ALPACA Veriseti Düzeltme Arayüzü",
+    description = "",
+    allow_flagging="manual",
+    flagging_callback=ArgillaLogger(
+        api_url="https://sandbox.argilla.io", 
+        api_key=os.getenv("TEAM_API_KEY"), 
+        dataset_name="alpaca-flags"
+    ),
+    flagging_options=["Doğru", "Yanlış", "Belirsiz"]
+).launch()