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README.md

@@ -1,12 +1,6 @@
 ---
-title: Automatic Speech Recognition Greek
-emoji: 🚀
-colorFrom: pink
-colorTo: green
-sdk: gradio
-sdk_version: 3.36.1
+title: automatic-speech-recognition-greek
 app_file: app.py
-pinned: false
+sdk: gradio
+sdk_version: 3.36.0
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,41 @@
+import torch
+import gradio as gr
+from transformers import pipeline
+
+model_id = "Sandiago21/whisper-large-v2-greek"  # update with your model id
+pipe = pipeline("automatic-speech-recognition", model=model_id)
+
+def transcribe_speech(filepath):
+    output = pipe(
+        filepath,
+        max_new_tokens=256,
+        generate_kwargs={
+            "task": "transcribe",
+            "language": "greek",
+        },  # update with the language you've fine-tuned on
+        chunk_length_s=30,
+        batch_size=8,
+    )
+    return output["text"]
+
+demo = gr.Blocks()
+
+mic_transcribe = gr.Interface(
+    fn=transcribe_speech,
+    inputs=gr.Audio(source="microphone", type="filepath"),
+    outputs=gr.outputs.Textbox(),
+)
+
+file_transcribe = gr.Interface(
+    fn=transcribe_speech,
+    inputs=gr.Audio(source="upload", type="filepath"),
+    outputs=gr.outputs.Textbox(),
+)
+
+with demo:
+    gr.TabbedInterface(
+        [mic_transcribe, file_transcribe],
+        ["Transcribe Microphone", "Transcribe Audio File"],
+    )
+
+demo.launch()

requirements.txt

@@ -0,0 +1,2 @@
+transformers
+torch