Rename app.py(bad) to app.py

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+import librosa
+from asr import transcribe_auto, ASR_EXAMPLES, ASR_NOTE  # Modify transcribe_auto to auto-detect language
+
+# Speech-to-Text Interface without language selection
+mms_transcribe = gr.Interface(
+    fn=transcribe_auto,  # Function that automatically detects language
+    inputs=gr.Audio(),
+    outputs="text",
+    examples=ASR_EXAMPLES,
+    title="Speech-to-Text",
+    description="Automatically transcribes audio in either English or Swahili.",
+    article=ASR_NOTE,
+    allow_flagging="never",
+)
+
+# Main Gradio App
+with gr.Blocks() as demo:
+    gr.Markdown("<p align='center' style='font-size: 20px;'>MMS Speech-to-Text</p>")
+    gr.HTML("<center>Automatically convert speech to text in English or Swahili.</center>")
+
+    mms_transcribe.render()
+
+if __name__ == "__main__":
+    demo.queue()
+    demo.launch()

app.py(bad)

@@ -1,46 +0,0 @@
-import gradio as gr
-import librosa
-from asr import transcribe, ASR_EXAMPLES, ASR_NOTE
-from lid import identify  # Import Language Identification model
-
-# Function to detect language and transcribe speech
-def auto_transcribe(audio):
-    # Detect language
-    detected_lang = identify(audio)
-    
-    # Debug: Print detected language
-    print(f"Detected Language: {detected_lang}")  
-
-    # Ensure the detected language is Swahili or English
-    if detected_lang.startswith("swh"):
-        detected_lang = "swh"
-    elif detected_lang.startswith("eng"):
-        detected_lang = "eng"
-    else:
-        return f"Error: Detected language '{detected_lang}' is not supported."
-
-    # Transcribe using detected language
-    return transcribe(audio, lang=detected_lang)
-
-# Speech-to-Text Interface with Auto Language Detection
-mms_transcribe = gr.Interface(
-    fn=auto_transcribe,
-    inputs=gr.Audio(),
-    outputs="text",
-    examples=ASR_EXAMPLES,
-    title="Speech-to-Text (Auto Language Detection)",
-    description="Automatically detects whether speech is in Swahili or English and transcribes it.",
-    article=ASR_NOTE,
-    allow_flagging="never",
-)
-
-# Main Gradio App
-with gr.Blocks() as demo:
-    gr.Markdown("<p align='center' style='font-size: 20px;'>MMS Speech-to-Text</p>")
-    gr.HTML("<center>Automatically detects and transcribes Swahili or English speech.</center>")
-
-    mms_transcribe.render()
-
-if __name__ == "__main__":
-    demo.queue()
-    demo.launch()