Update app.py

app.py

@@ -1,59 +0,0 @@
-import torchaudio
-import gradio as gr
-from transformers import pipeline
-from gtts import gTTS
-import tempfile
-import pygame
-import time
-
-# Initialize the speech-to-text transcriber
-transcriber = pipeline("automatic-speech-recognition", model="jonatasgrosman/wav2vec2-large-xlsr-53-english")
-
-# Load the pre-trained question answering model
-model_name = "AVISHKAARAM/avishkaarak-ekta-hindi"
-qa_model = pipeline("question-answering", model=model_name)
-
-def answer_question(context, question=None, audio=None):
-    if audio is not None:
-        text = transcriber(audio)
-        question_text = text['text']
-    else:
-        question_text = question
-
-    qa_result = qa_model(question=question_text, context=context)
-    answer = qa_result["answer"]
-
-    tts = gTTS(text=answer, lang='en')
-    audio_path = tempfile.NamedTemporaryFile(suffix=".mp3").name
-    tts.save(audio_path)
-
-    return answer, audio_path
-
-def play_audio(audio_path):
-    pygame.mixer.init()
-    pygame.mixer.music.load(audio_path)
-    pygame.mixer.music.play()
-    while pygame.mixer.music.get_busy():
-        time.sleep(0.1)
-
-# Define the Gradio interface
-context_input = gr.components.Textbox(label="Context")
-question_input = gr.components.Textbox(label="Question")
-audio_input = gr.components.Audio(source="microphone", type="filepath")
-
-output_text = gr.components.Textbox(label="Answer")
-output_audio = gr.components.Audio(label="Answer Audio", type="numpy")
-
-interface = gr.Interface(
-    fn=answer_question,
-    inputs=[context_input, question_input, audio_input],
-    outputs=[output_text, output_audio],
-    title="Question Answering",
-    description="Enter a context and a question to get an answer. You can also upload an audio file with the question.",
-    examples=[
-        ["The capital of France is Paris.", "What is the capital of France?"],
-        ["OpenAI is famous for developing GPT-3.", "What is OpenAI known for?"],
-    ]
-)
-# Launch the Gradio interface
-interface.launch()