Update app.py

app.py

@@ -1,14 +1,22 @@
+from transformers.pipelines.audio_utils import ffmpeg_read
+from transformers import WhisperForConditionalGeneration, WhisperProcessor, pipeline
 import gradio as gr
+import numpy as np
 
-def greet(name):
-    return "Hello " + name + "!!"
+def process_transcribe(file):
+    audio_nparray = file[1]
+    my_list = audio_nparray.tolist()
 
+    endpoint = runpod.Endpoint("14ggfq6a17uim9")
 
-def process_transcribe(file):
-    print(file)
-    return file
+    run_request = endpoint.run_sync(
+        {"audio_list": my_list}
+    )
+    raw_text = run_request
+    
+    return raw_text
 
-with gr.Blocks() as iface:
+with gr.Blocks(theme=gr.themes.Default(primary_hue="blue")) as iface:
     with gr.Tab("App"):
         with gr.Row():
             with gr.Column():
@@ -17,5 +25,5 @@ with gr.Blocks() as iface:
                 submit_btn = gr.Button("Submit", variant="primary")
             with gr.Column():
                 raw_transcript = gr.Textbox(label="Transcription")
-        submit_btn.click(process_transcribe, inputs=[audio_id], outputs=[raw_transcript])
-iface.launch()
+        submit_btn.click(process_transcribe, inputs=[audio_file], outputs=[raw_transcript])
+iface.launch(debug=True)