Create Voicechat-Hindi/app.py

Voicechat-Hindi/app.py

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+"""Deploying AI Voice Chatbot Gradio App."""
+from gradio import Audio, Interface, Textbox
+from typing import Tuple
+
+from utils import (TextGenerationPipeline, from_en_translation,
+                   html_audio_autoplay, stt, to_en_translation, tts,
+                   tts_to_bytesio)
+
+max_answer_length = 100
+desired_language = "hi"
+response_generator_pipe = TextGenerationPipeline(max_length=max_answer_length)
+
+
+def main(audio: object) -> Tuple[str, str, str, object]:
+    """Calls functions for deploying gradio app.
+    It responds both verbally and in text
+    by taking voice input from user.
+    Args:
+        audio (object): recorded speech of user
+    Returns:
+        tuple containing
+        - user_speech_text (str) : recognized speech
+        - bot_response_hi (str) : translated answer of bot
+        - bot_response_en (str) : bot's original answer
+        - html (object) : autoplayer for bot's speech
+    """
+    user_speech_text = stt(audio, desired_language)
+    tranlated_text = to_en_translation(user_speech_text, desired_language)
+    bot_response_en = response_generator_pipe(tranlated_text)
+    bot_response_hi = from_en_translation(bot_response_en, desired_language)
+    bot_voice = tts(bot_response_hi, desired_language)
+    bot_voice_bytes = tts_to_bytesio(bot_voice)
+    html = html_audio_autoplay(bot_voice_bytes)
+    return user_speech_text, bot_response_hi, bot_response_en, html
+
+
+Interface(
+    fn=main,
+    inputs=[
+        Audio(
+            source="microphone",
+            type="filepath",
+        ),
+    ],
+    outputs=[
+        Textbox(label="You said: "),
+        Textbox(label="AI: "),
+        Textbox(label="AI (English): "),
+        "html",
+    ],
+    live=True,
+    allow_flagging="never",
+).launch(debug=True)