File size: 2,679 Bytes
38076a5 53a08fc 66e0ab6 38076a5 66e0ab6 a3f7765 38076a5 a3f7765 53a08fc 38076a5 53a08fc 66e0ab6 53a08fc e09d4a0 38076a5 53a08fc 7630cf9 a3f7765 |
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 gradio as gr
# import requests
# API_URL = "https://ai-research.quarkgen.ai/templedekho/vastu/v1"
# def get_vastu_advice(question, image_path):
# # Open the image file and prepare for upload
# with open(image_path, 'rb') as image_file:
# files = {'image_path': image_file}
# data = {'question': question, 'session_id': "Ab-5654654"}
# response = requests.post(API_URL, files=files, data=data)
# if response.status_code == 200:
# answer = response.text
# return "🕉️ Guruji says: 🙏\n\n" + answer
# else:
# return f"Error: {response.json().get('error', 'Unknown error')}"
# # Gradio interface
# iface = gr.Interface(
# fn=get_vastu_advice,
# inputs=[
# gr.Textbox(label="Question"),
# gr.Image(type="filepath", label="Upload House Image (JPEG/PNG)")
# ],
# outputs=gr.Textbox(label="Vastu Prediction"),
# title="🕉️ AI Vastu Astrologer 🕉️",
# description = "Enter your House Structure to get personalized Vastu advice from the AI Guru Vastu."
# )
# if __name__ == "__main__":
# iface.launch(share=True)
import gradio as gr
import requests
API_URL = "https://ai-research.quarkgen.ai/templedekho/vastu/v1"
def get_vastu_advice(question, image_path=None):
"""
Get Vastu advice by sending a question and either an image or PDF to the API.
"""
files = {}
data = {'question': question, 'session_id': "Ab-5654654"}
# Add image file if provided
if image_path:
files['image_path'] = open(image_path, 'rb')
# # Add PDF file if provided
# if pdf_path:
# files['image_path'] = open(image_path, 'rb')
try:
response = requests.post(API_URL, files=files, data=data)
# Check response status
if response.status_code == 200:
answer = response.text
return "🕉️ Guruji says: 🙏\n\n" + answer
else:
return f"Error: {response.json().get('error', 'Unknown error')}"
finally:
# Close file handlers to prevent resource leaks
for file in files.values():
file.close()
# Gradio interface
iface = gr.Interface(
fn=get_vastu_advice,
inputs=[
gr.Textbox(label="Question"),
gr.File(type="filepath", label="Upload House Image (JPEG/PNG/PDF)"),
],
outputs=gr.Textbox(label="Vastu Prediction"),
title="🕉️ AI Vastu Astrologer 🕉️",
description="Enter your House Structure to get personalized Vastu advice from the AI Guru Vastu. You can upload an image of your house or a blueprint in PDF format."
)
if __name__ == "__main__":
iface.launch(share=True)
|