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e82f66d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 | 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) |