Update ap.py

ap.py

@@ -1,15 +1,12 @@
-import gradio as gr
-from transformers import pipeline
+import requests
 
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+API_URL = "https://api-inference.huggingface.co/models/Sanyam0605/whisper-large-v2-hi"
+headers = {"Authorization": "Bearer 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"}
 
-def predict(image):
-    predictions = pipeline(image)
-    return {p["label"]: p["score"] for p in predictions}
+def query(filename):
+    with open(filename, "rb") as f:
+        data = f.read()
+    response = requests.post(API_URL, headers=headers, data=data)
+    return response.json()
 
-gr.Interface(
-    predict,
-    inputs=gr.inputs.Image(label="Upload hot dog candidate", type="filepath"),
-    outputs=gr.outputs.Label(num_top_classes=2),
-    title="Hot Dog? Or Not?",
-).launch()
+output = query("sample1.flac")