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from flask import Flask, render_template, request, jsonify
import os
from azure.ai.inference import ChatCompletionsClient
from azure.ai.inference.models import (
SystemMessage,
UserMessage,
TextContentItem,
ImageContentItem,
ImageUrl,
ImageDetailLevel,
)
from azure.core.credentials import AzureKeyCredential
from googletrans import Translator
app = Flask(__name__)
# Azure API credentials
token = "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"
endpoint = "https://models.inference.ai.azure.com"
model_name = "Llama-3.2-90B-Vision-Instruct"
# Initialize the ChatCompletionsClient
client = ChatCompletionsClient(
endpoint=endpoint,
credential=AzureKeyCredential(token),
)
translator = Translator()
# Analyze leaf disease
def analyze_leaf_disease(image_path):
try:
# Prepare and send the request to the Azure API
response = client.complete(
messages=[
SystemMessage(
content="You are a helpful assistant that describes leaf disease in detail."
),
UserMessage(
content=[
TextContentItem(text="What's the leaf disease in this image?"),
ImageContentItem(
image_url=ImageUrl.load(
image_file=image_path,
image_format="jpg",
detail=ImageDetailLevel.LOW,
)
),
],
),
],
model=model_name,
)
# Extract and return the response content
return response.choices[0].message.content
except Exception as e:
return f"An error occurred: {e}"
@app.route('/')
def index():
return render_template('index.html')
@app.route('/analyze', methods=['POST'])
def analyze():
if 'image' not in request.files:
return jsonify({"error": "No file uploaded"}), 400
file = request.files['image']
leaf_type = request.form.get('leaf_type')
if file:
file_path = os.path.join('uploads', file.filename)
file.save(file_path)
# Analyze the image
result = analyze_leaf_disease(file_path)
# Remove the uploaded file
os.remove(file_path)
return jsonify({"result": result})
@app.route('/translate', methods=['POST'])
def translate():
data = request.get_json()
text = data.get('text')
if not text:
return jsonify({"error": "No text provided"}), 400
translated = translator.translate(text, src='en', dest='bn')
return jsonify({"translated_text": translated.text})
if __name__ == '__main__':
if not os.path.exists('uploads'):
os.makedirs('uploads')
app.run(debug=True) |