Update app.py

app.py

@@ -1,4 +1,5 @@
-import gradio as gr
+from flask import Flask, render_template, request, jsonify
+import os
 from azure.ai.inference import ChatCompletionsClient
 from azure.ai.inference.models import (
     SystemMessage,
@@ -9,6 +10,9 @@ from azure.ai.inference.models import (
     ImageDetailLevel,
 )
 from azure.core.credentials import AzureKeyCredential
+from googletrans import Translator
+
+app = Flask(__name__)
 
 # Azure API credentials
 token = "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"
@@ -21,7 +25,9 @@ client = ChatCompletionsClient(
     credential=AzureKeyCredential(token),
 )
 
-# Define the function to handle the image and get predictions
+translator = Translator()
+
+# Analyze leaf disease
 def analyze_leaf_disease(image_path):
     try:
         # Prepare and send the request to the Azure API
@@ -52,15 +58,42 @@ def analyze_leaf_disease(image_path):
     except Exception as e:
         return f"An error occurred: {e}"
 
-# Define the Gradio interface
-interface = gr.Interface(
-    fn=analyze_leaf_disease,
-    inputs=gr.Image(type="filepath", label="Upload an Image of a Leaf"),
-    outputs="text",
-    title="Leaf Disease Detector",
-    description="Upload an image of a leaf, and this tool will identify the disease affecting it.",
-)
+@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})
 
-# Launch the interface
-if __name__ == "__main__":
-    interface.launch()
+if __name__ == '__main__':
+    if not os.path.exists('uploads'):
+        os.makedirs('uploads')
+    app.run(debug=True)