import gradio as gr
import speech_recognition as sr
import soundfile as sf
import cv2
from transformers import pipeline

# Initialize Speech Recognition
recognizer = sr.Recognizer()

# Initialize Image Generation
generator = pipeline('image-generation', model='CompVis/stable-diffusion-v1-4')

# Function to recognize speech
def recognize_speech():
    with sr.Microphone() as source:
        print('Say something...')
        audio = recognizer.listen(source)
    try:
        text = recognizer.recognize_google(audio)
        return 'You said: ' + text
    except sr.UnknownValueError:
        return 'Google Speech Recognition could not understand audio'
    except sr.RequestError as e:
        return 'Could not request results; {0}'.format(e)

# Function to recognize image
def recognize_image(image):
    # Process image using OpenCV/TensorFlow
    return "Image recognized (not implemented)"

# Function to generate image
def generate_image(prompt):
    images = generator(prompt)
    return images[0]

# Set up the Gradio interface
def main_interface():
    with gr.Blocks() as demo:
        gr.Markdown("# Mistral 0.2 Dolphin Interface")

        with gr.Tab("Recognize Speech"):
            speech_output = gr.Textbox(label="Recognized Speech")
            speech_button = gr.Button("Start Speaking")
            speech_button.click(fn=recognize_speech, outputs=speech_output)

        with gr.Tab("Recognize Image"):
            image_input = gr.Image(type="pil", label="Upload Image")
            image_output = gr.Textbox(label="Image Info")
            image_button = gr.Button("Recognize Image")
            image_button.click(fn=recognize_image, inputs=image_input, outputs=image_output)

        with gr.Tab("Generate Image"):
            prompt_input = gr.Textbox(label="Prompt")
            image_output = gr.Image(type="pil", label="Generated Image")
            image_button = gr.Button("Generate Image")
            image_button.click(fn=generate_image, inputs=prompt_input, outputs=image_output)

    return demo

if __name__ == "__main__":
    main_interface().launch()