Create app.py

app.py

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+import gradio as gr
+import azure.cognitiveservices.speech as speechsdk
+import time
+
+# Azure credentials
+SPEECH_KEY = "your_speech_key"
+SERVICE_REGION = "your_service_region"
+
+# Define the language and dialect mapping
+language_dialects = {
+    "Arabic": {
+        "Egypt": "ar-EG",
+        "Saudi Arabia": "ar-SA",
+        "United Arab Emirates": "ar-AE",
+        "Bahrain": "ar-BH",
+        "Algeria": "ar-DZ",
+        "Iraq": "ar-IQ",
+        "Jordan": "ar-JO",
+        "Kuwait": "ar-KW",
+        "Lebanon": "ar-LB",
+        "Libya": "ar-LY",
+        "Morocco": "ar-MA",
+        "Oman": "ar-OM",
+        "Palestinian Authority": "ar-PS",
+        "Qatar": "ar-QA",
+        "Syria": "ar-SY",
+        "Tunisia": "ar-TN",
+        "Yemen": "ar-YE"
+    },
+    "English": {
+        "United States": "en-US",
+        "United Kingdom": "en-GB",
+        "Australia": "en-AU",
+        "Canada": "en-CA",
+        "India": "en-IN",
+        "Ireland": "en-IE",
+        "New Zealand": "en-NZ",
+        "South Africa": "en-ZA",
+        "Singapore": "en-SG",
+        "Philippines": "en-PH"
+    },
+    "French": {
+        "France": "fr-FR",
+        "Canada": "fr-CA",
+        "Switzerland": "fr-CH"
+    },
+    "Spanish": {
+        "Spain": "es-ES",
+        "Mexico": "es-MX",
+        "Argentina": "es-AR",
+        "Colombia": "es-CO",
+        "Chile": "es-CL",
+        "Peru": "es-PE",
+        "Venezuela": "es-VE"
+    },
+    "German": {
+        "Germany": "de-DE",
+        "Austria": "de-AT",
+        "Switzerland": "de-CH"
+    },
+    "Portuguese": {
+        "Portugal": "pt-PT",
+        "Brazil": "pt-BR"
+    },
+    "Chinese": {
+        "Mainland China": "zh-CN",
+        "Hong Kong": "zh-HK",
+        "Taiwan": "zh-TW"
+    },
+    "Italian": {
+        "Italy": "it-IT"
+    },
+    "Japanese": {
+        "Japan": "ja-JP"
+    },
+    "Korean": {
+        "Korea": "ko-KR"
+    }
+    # Add more languages and dialects as needed
+}
+
+
+# Function to get dialects based on selected language
+def get_dialects(language):
+    dialects = list(language_dialects.get(language, {}).keys())
+    return gr.update(choices=dialects, value=dialects[0] if dialects else None)
+
+# Function to transcribe audio
+def transcribe_audio(audio_file, duration, language, dialect):
+    # Simulate recording duration
+    print(f"Recording for {duration} seconds...")
+    time.sleep(duration)
+
+    # Get the locale code
+    locale_code = language_dialects.get(language, {}).get(dialect, "en-US")
+    print(f"Selected Locale Code: {locale_code}")
+
+    # Set up speech recognition
+    speech_config = speechsdk.SpeechConfig(subscription=SPEECH_KEY, region=SERVICE_REGION)
+    speech_config.speech_recognition_language = locale_code
+    print(locale_code)
+    audio_input = speechsdk.audio.AudioConfig(filename=audio_file)
+    speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_input)
+
+    result = speech_recognizer.recognize_once()
+
+    if result.reason == speechsdk.ResultReason.RecognizedSpeech:
+        return result.text
+    elif result.reason == speechsdk.ResultReason.NoMatch:
+        return "No speech could be recognized"
+    elif result.reason == speechsdk.ResultReason.Canceled:
+        cancellation_details = result.cancellation_details
+        return f"Speech recognition canceled: {cancellation_details.error_details}"
+    else:
+        return "Unknown error occurred during speech recognition"
+
+# Create the Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("## Azure Speech to Text with Language and Dialect Selection")
+
+    with gr.Row():
+        audio_input = gr.Audio(type="filepath", label="Upload Audio")
+        duration_input = gr.Dropdown(choices=[5, 10], label="Recording Duration", value=5)
+
+    with gr.Row():
+        language_input = gr.Dropdown(choices=list(language_dialects.keys()), label="Select Language")
+        dialect_input = gr.Dropdown(choices=[], label="Select Dialect")
+
+    transcribe_button = gr.Button("Transcribe")
+    output_text = gr.Textbox(label="Transcription Result")
+
+    # Update dialect options based on selected language
+    language_input.change(fn=get_dialects, inputs=language_input, outputs=dialect_input)
+
+    # Transcribe audio on button click
+    transcribe_button.click(fn=transcribe_audio, inputs=[audio_input, duration_input, language_input, dialect_input], outputs=output_text)
+
+# Launch the app
+demo.launch()