Create app.py

app.py

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+import os
+import numpy as np
+import gradio as gr
+import assemblyai as aai
+from translate import Translator
+import uuid
+from gtts import gTTS
+import tempfile
+from pathlib import Path
+
+def voice_to_voice(audio_file):
+    # Transcribe speech
+    transcript = transcribe_audio(audio_file)
+
+    if transcript.status == aai.TranscriptStatus.error:
+        raise gr.Error(transcript.error)
+    else:
+        transcript = transcript.text
+
+    # Translate text
+    list_translations = translate_text(transcript)
+    generated_audio_paths = []
+
+    # Generate speech from translated text
+    for translation in list_translations:
+        translated_audio_file_name = text_to_speech(translation)
+        path = Path(translated_audio_file_name)
+        generated_audio_paths.append(path)
+
+    return generated_audio_paths[0], generated_audio_paths[1], generated_audio_paths[2], generated_audio_paths[3], generated_audio_paths[4], generated_audio_paths[5], list_translations[0], list_translations[1], list_translations[2], list_translations[3], list_translations[4], list_translations[5]
+
+# Function to transcribe audio using AssemblyAI
+def transcribe_audio(audio_file):
+    aai.settings.api_key = "21f30361d02543cca65707e8f71721d8"
+
+    transcriber = aai.Transcriber()
+    transcript = transcriber.transcribe(audio_file)
+
+    return transcript
+
+# Function to translate text
+def translate_text(text: str) -> str:
+    languages = ["ru", "tr", "sv", "de", "es", "ja"]
+    list_translations = []
+
+    for lan in languages:
+        translator = Translator(from_lang="en", to_lang=lan)
+        translation = translator.translate(text)
+        list_translations.append(translation)
+
+    return list_translations
+
+# Function to generate speech with gTTS (Google Text-to-Speech)
+def text_to_speech(text: str) -> str:
+    # Generate speech using gTTS (Google Text-to-Speech)
+    tts = gTTS(text=text, lang='en', slow=True)
+
+    # Save the audio to a temporary file
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
+        tts.save(tmp_file.name)
+        audio_path = tmp_file.name
+
+    return audio_path
+
+input_audio = gr.Audio(
+    sources=["microphone"],
+    type="filepath",
+    show_download_button=True,
+    waveform_options=gr.WaveformOptions(
+        waveform_color="#01C6FF",
+        waveform_progress_color="#0066B4",
+        skip_length=2,
+        show_controls=False,
+    ),
+)
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Echo: Voice Translation App")
+    gr.Markdown("## Record yourself in English and immediately receive voice translations.")
+    with gr.Row():
+        with gr.Column():
+            audio_input = gr.Audio(sources=["microphone"],
+                                   type="filepath",
+                                   show_download_button=True,
+                                   waveform_options=gr.WaveformOptions(
+                                       waveform_color="#01C6FF",
+                                       waveform_progress_color="#0066B4",
+                                       skip_length=2,
+                                       show_controls=False,
+                                   ),)
+            with gr.Row():
+                submit = gr.Button("Submit", variant="primary")
+                btn = gr.ClearButton(audio_input, "Clear")
+
+    with gr.Row():
+        with gr.Group() as turkish:
+            tr_output = gr.Audio(label="Turkish", interactive=False)
+            tr_text = gr.Markdown()
+
+        with gr.Group() as swedish:
+            sv_output = gr.Audio(label="Swedish", interactive=False)
+            sv_text = gr.Markdown()
+
+        with gr.Group() as russian:
+            ru_output = gr.Audio(label="Russian", interactive=False)
+            ru_text = gr.Markdown()
+
+    with gr.Row():
+        with gr.Group():
+            de_output = gr.Audio(label="German", interactive=False)
+            de_text = gr.Markdown()
+
+        with gr.Group():
+            es_output = gr.Audio(label="Spanish", interactive=False)
+            es_text = gr.Markdown()
+
+        with gr.Group():
+            jp_output = gr.Audio(label="Japanese", interactive=False)
+            jp_text = gr.Markdown()
+
+    output_components = [ru_output, tr_output, sv_output, de_output, es_output, jp_output, ru_text, tr_text, sv_text, de_text, es_text, jp_text]
+    submit.click(fn=voice_to_voice, inputs=audio_input, outputs=output_components, show_progress=True)
+
+if __name__ == "__main__":
+    demo.launch()