File size: 901 Bytes
2f5c91e |
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 |
import gradio as gr
from transformers import pipeline
import requests
from io import BytesIO
from PIL import Image
import pyttsx3 # Text-to-speech (optional)
# --- Load hosted model ---
captioner = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
# --- Caption & TTS function ---
def generate_caption_tts(image):
# If user uploads a URL
if isinstance(image, str):
image = Image.open(BytesIO(requests.get(image).content))
caption = captioner(image)[0]['generated_text']
# TTS (optional)
tts = pyttsx3.init()
tts.say(caption)
tts.runAndWait()
return caption
# --- Gradio interface ---
iface = gr.Interface(
fn=generate_caption_tts,
inputs=gr.Image(type="pil"),
outputs="text",
title="Image Captioning for Visually Impaired",
description="Upload any image and get a descriptive caption."
)
iface.launch()
|