Update app.py

app.py

@@ -11,25 +11,36 @@ import time
 
 auth_token = os.getenv("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")
 
-p = pipeline('automatic-speech-recognition', model='rohitp1/kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset')
-
-def transcribe(audio, state=""):
-    time.sleep(3)
-    text = p(audio)["text"]
-    state = text + " "
-    return state, state
-
-
-
-gr.Interface(
-    fn=transcribe, 
-    inputs=[
-        gr.inputs.Audio(source="microphone", type="filepath"),
-        'state'
-    ],
-    outputs=[
-        "textbox",
-        "state"
-    ],
-    live=False,
-    api_key=auth_token).launch()
+# p = pipeline('automatic-speech-recognition', model='rohitp1/kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset')
+
+# def transcribe(audio, state=""):
+#     time.sleep(3)
+#     text = p(audio)["text"]
+#     state = text + " "
+#     return state, state
+
+
+
+# gr.Interface(
+#     fn=transcribe, 
+#     inputs=[
+#         gr.inputs.Audio(source="microphone", type="filepath"),
+#         'state'
+#     ],
+#     outputs=[
+#         "textbox",
+#         "state"
+#     ],
+#     live=False,
+#     api_key=auth_token).launch()
+
+
+demo = gr.load(
+    "huggingface/rohitp1/kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset",
+    title="Speech-to-text",
+    inputs="mic",
+    description="Let me try to guess what you're saying!",
+    api_key=auth_token
+)
+
+demo.launch()