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import base64 | |
import gradio as gr | |
import requests | |
def encode_image(image_file): | |
with open(image_file.name, "rb") as img_file: | |
return base64.b64encode(img_file.read()).decode('utf-8') | |
def send_to_openai(api_key, image_file): | |
base64_image = encode_image(image_file) | |
headers = { | |
"Content-Type": "application/json", | |
"Authorization": f"Bearer {api_key}" | |
} | |
payload = { | |
"model": "gpt-4-vision-preview", | |
"messages": [ | |
{ | |
"role": "user", | |
"content": [ | |
{ | |
"type": "text", | |
"text": "Answer in only one of the following options - Leaf , Sheath , Question - You are given a picture of Rice Paddy which part of the Paddy Crop is prominently visible , Leaf should be the whole leaf , and Sheath Can be a little part of the Leaf and Should Show the Stem and Maybe Grains " | |
}, | |
{ | |
"type": "image_url", | |
"image_url": { | |
"url": f"data:image/jpeg;base64,{base64_image}" | |
} | |
} | |
] | |
} | |
], | |
"max_tokens": 300 | |
} | |
response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload) | |
# Extract words from the assistant's response | |
assistant_response = response.json()['choices'][0]['message']['content'] | |
words = assistant_response.split('\n') | |
checkresponse_lower = [word.lower() for word in words] | |
if "leaf" in checkresponse_lower: | |
payload = { | |
"model": "gpt-4-vision-preview", | |
"messages": [ | |
{ | |
"role": "user", | |
"content": [ | |
{ | |
"type": "text", | |
"text": "Answer in three words only, does the image uploaded have a healthy rice leaf - Yes or No , does the image uploaded have a rice leaf with Major (not small) circular spots - Yes or No , does the image uploaded have a rice leaf have a major yellowish discoloration in some areas (ignore spots) - Yes or No , DO NOT RESPOND IN MORE THAN THREE WORDS and ANSWER WITH COMMA IN THE MIDDLE OF THE WORDS WITH NO FULLSTOP " | |
}, | |
{ | |
"type": "image_url", | |
"image_url": { | |
"url": f"data:image/jpeg;base64,{base64_image}" | |
} | |
} | |
] | |
} | |
], | |
"max_tokens": 300 | |
} | |
elif "sheath" in checkresponse_lower: | |
payload = { | |
"model": "gpt-4-vision-preview", | |
"messages": [ | |
{ | |
"role": "user", | |
"content": [ | |
{ | |
"type": "text", | |
"text": "ANSWER IN ONLY ONE WORD , does the sheath part of the paddy in the image have sheath rot ANSWER IN YES OR NO , NO FULLSTOP " | |
}, | |
{ | |
"type": "image_url", | |
"image_url": { | |
"url": f"data:image/jpeg;base64,{base64_image}" | |
} | |
} | |
] | |
} | |
], | |
"max_tokens": 300 | |
} | |
response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload) | |
assistant_response = response.json()['choices'][0]['message']['content'] | |
recognition = assistant_response.split('\n') | |
result_string = ' '.join(words + recognition) | |
return result_string | |
iface = gr.Interface( | |
fn=send_to_openai, | |
inputs=["text", "file"], | |
outputs=["text"], | |
title="Rice Leaf Disease Detection Demo Using GPT-4V(ision)", | |
description="Made By Akash Mondal - https://github.com/akash-mondal GPT-4Vision Paper - https://cdn.openai.com/papers/GPTV_System_Card.pdf " | |
) | |
iface.launch(debug=True) | |