Added app

app.py

@@ -0,0 +1,67 @@
+import nemo.collections.asr as nemo_asr
+import gradio as gr
+
+
+
+
+asr_model = nemo_asr.models.ASRModel.from_pretrained("theodotus/stt_ua_fastconformer_hybrid_large_pc", map_location="cpu")
+
+
+
+
+def process_file(in_filename: str,):
+    if in_filename is None or in_filename == "":
+        return "Error: No file"
+
+    transcript = asr_model.transcribe([in_filename])[0][0]
+
+
+    return transcript
+
+
+
+
+demo = gr.Blocks()
+
+with demo:
+    with gr.Tabs():
+        with gr.TabItem("Upload from disk"):
+            uploaded_file = gr.Audio(
+                source="upload",  # Choose between "microphone", "upload"
+                type="filepath",
+                optional=False,
+                label="Upload from disk",
+            )
+            upload_button = gr.Button("Submit for recognition")
+            uploaded_output = gr.Textbox(label="Recognized speech from uploaded file")
+
+        with gr.TabItem("Record from microphone"):
+            microphone = gr.Audio(
+                source="microphone",  # Choose between "microphone", "upload"
+                type="filepath",
+                optional=False,
+                label="Record from microphone",
+            )
+
+            record_button = gr.Button("Submit for recognition")
+            recorded_output = gr.Textbox(label="Recognized speech from recordings")
+
+        upload_button.click(
+            process_file,
+            inputs=[
+                uploaded_file,
+            ],
+            outputs=[uploaded_output],
+        )
+
+        record_button.click(
+            process_file,
+            inputs=[
+                microphone,
+            ],
+            outputs=[recorded_output],
+        )
+
+
+if __name__ == "__main__":
+    demo.launch()