Update app.py

app.py

@@ -1,13 +1,36 @@
+# from transformers import pipeline
+# import gradio as gr
+
+
+# # Load the pipeline with the cache_dir parameter
+# pipe = pipeline(model="tarteel-ai/whisper-base-ar-quran")
+
+# def transcribe(audio):
+#     text = pipe(audio)["text"]
+#     return text
+
+# iface = gr.Interface(
+#     fn=transcribe,
+#     inputs=gr.Audio(source="upload", type="filepath"),
+#     outputs="text",
+# )
+
+# iface.launch()
 from transformers import pipeline
-import gradio as gr
 
+model_id = "tarteel-ai/whisper-base-ar-quran"  # update with your model id
+pipe = pipeline("automatic-speech-recognition", model=model_id)
 
-# Load the pipeline with the cache_dir parameter
-pipe = pipeline(model="tarteel-ai/whisper-base-ar-quran")
+def transcribe_speech(filepath):
+    output = pipe(
+        filepath,
+        max_new_tokens=10000,
+        chunk_length_s=30,
+        batch_size=8,
+    )
+    return output["text"]
 
-def transcribe(audio):
-    text = pipe(audio)["text"]
-    return text
+import gradio as gr
 
 iface = gr.Interface(
     fn=transcribe,