app.py

import os
import cv2
import uuid
import gradio as gr
import numpy as np
import webbrowser
import webcamgpt
from gtts import gTTS
import speech_recognition as sr
from pydub import AudioSegment

MARKDOWN = """
# Webcam with GPT

Visual analysis of live webcam footage
"""

connector = webcamgpt.OpanAIConnector()
duration_in_seconds=0

def save_image_to_drive(image: np.ndarray) -> str:
    image_filename = f"{uuid.uuid4()}.jpeg"
    image_directory = "data"
    os.makedirs(image_directory, exist_ok=True)
    image_path = os.path.join(image_directory, image_filename)
    cv2.imwrite(image_path, image)
    return image_path

def speech_to_text():
    recognizer = sr.Recognizer()
    with sr.Microphone() as source:
        recognizer.adjust_for_ambient_noise(source)
        print("Say something...")
        audio = recognizer.listen(source, timeout=5)
    try:
        return recognizer.recognize_google(audio)
    except sr.UnknownValueError:
        return "Could not understand audio"
    except sr.RequestError as e:
        return f"Error with the speech recognition service; {e}"

def respond(image: np.ndarray, prompt: str, chat_history):
    image = np.fliplr(image)
    image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
    image_path = save_image_to_drive(image)

    # Add speech-to-text for the prompt
    speech_input = speech_to_text()
    chat_history.append(((image_path,), None))
    chat_history.append((speech_input, None))

    response = connector.simple_prompt(image=image, prompt=speech_input)
    chat_history.append((speech_input, response))

    # Initialize gTTS with the text to convert
    speech = gTTS(response, lang='en', slow=False)

    # Save the audio file to a temporary file
    speech_file = 'speech.mp3'
    speech.save(speech_file)
    

    audio = AudioSegment.from_file(speech_file)
    global duration_in_seconds
    duration_in_seconds = len(audio) / 1000
    print(f"Speech duration: {duration_in_seconds} seconds")


    # Play the audio file
    webbrowser.open(speech_file)

    return "", chat_history

with gr.Blocks() as demo:
    gr.Markdown(MARKDOWN)
    with gr.Row():
        webcam = gr.Image(source="webcam", streaming=True)
        with gr.Column():
            chatbot = gr.Chatbot(height=500)
            message = gr.Textbox(autofocus=True)
            clear_button = gr.ClearButton([message, chatbot])
    
    message.submit(respond, [webcam, message, chatbot], [message, chatbot])

demo.launch(debug=False, show_error=True, share=True)