Add application file

app.py

@@ -0,0 +1,55 @@
+import gradio as gr
+import speech_recognition as sr
+from deep_translator import GoogleTranslator
+from gtts import gTTS
+import os
+
+# Recognize and translate audio to Chinese
+def recognize_and_translate(audio_file_path):
+    # Use the file path directly from Gradio input
+    recognizer = sr.Recognizer()
+    with sr.AudioFile(audio_file_path) as source:
+        audio_data = recognizer.record(source)
+        try:
+            text = recognizer.recognize_google(audio_data)
+        except sr.UnknownValueError:
+            return "Could not understand the audio."
+        except sr.RequestError:
+            return "Network error. Please try again."
+
+    # Translate the recognized text to Chinese
+    translated_text = GoogleTranslator(source="en", target="zh-CN").translate(text)
+    return f"Recognized: {text}\nTranslated to Chinese: {translated_text}"
+
+# Translate Chinese input to English and convert to speech
+def translate_to_english(chinese_text):
+    # Translate Chinese text to English
+    translated_text = GoogleTranslator(source="zh-CN", target="en").translate(chinese_text)
+
+    # Convert the translated text to speech
+    tts = gTTS(text=translated_text, lang="en", slow=False)
+    tts.save("output.mp3")
+
+    return translated_text, "output.mp3"
+
+# Create Gradio interfaces
+interface1 = gr.Interface(
+    fn=recognize_and_translate,
+    inputs=gr.Audio(type="filepath"),
+    outputs="text",
+    title="Speech Recognition and Translation to Chinese",
+)
+
+interface2 = gr.Interface(
+    fn=translate_to_english,
+    inputs="text",
+    outputs=["text", "audio"],
+    title="Translate Chinese to English and Play",
+)
+
+# Combine both interfaces into a tabbed layout
+app = gr.TabbedInterface([interface1, interface2], ["Speech to Chinese", "Chinese to English"])
+
+# Launch the app
+if __name__ == "__main__":
+    app.launch()