Update app.py

app.py

@@ -9,6 +9,9 @@ from azure.ai.inference.models import (
     ImageDetailLevel,
 )
 from azure.core.credentials import AzureKeyCredential
+from gtts import gTTS
+from googletrans import Translator
+import os
 
 # Azure API credentials
 token = "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"
@@ -21,10 +24,12 @@ client = ChatCompletionsClient(
     credential=AzureKeyCredential(token),
 )
 
-# Define the function to handle the image and get predictions
+# Translator instance
+translator = Translator()
+
+# Analyze leaf image
 def analyze_leaf_disease(image_path, leaf_type):
     try:
-        # Prepare and send the request to the Azure API
         response = client.complete(
             messages=[
                 SystemMessage(
@@ -45,26 +50,39 @@ def analyze_leaf_disease(image_path, leaf_type):
             ],
             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}"
 
-# Define the Gradio interface
+# Translate to Bangla
+def translate_to_bangla(text):
+    try:
+        translated = translator.translate(text, dest="bn")
+        return translated.text
+    except Exception as e:
+        return f"Translation error: {e}"
+
+# Text-to-Speech
+def text_to_speech(text):
+    try:
+        tts = gTTS(text)
+        audio_file = "output.mp3"
+        tts.save(audio_file)
+        return audio_file
+    except Exception as e:
+        return f"TTS error: {e}"
+
+# Main handler
 def handle_proceed(image_path, leaf_type):
-    # Display detecting status
     detecting_status = "Detecting..."
     result = analyze_leaf_disease(image_path, leaf_type)
-    # Clear detecting status after processing
     return "", result
 
 with gr.Blocks() as interface:
     with gr.Row():
         gr.Markdown("""
-        # Leaf Disease Detector
-        Upload a leaf image, select the leaf type, and let the AI analyze the disease.
+        # 🌿 Leaf Disease Detector
+        Upload a leaf image, select the leaf type, and let AI analyze it. You can also listen to or translate the result.
         """)
 
     with gr.Row():
@@ -77,10 +95,23 @@ with gr.Blocks() as interface:
 
     with gr.Row():
         detecting_label = gr.Label("Detecting...", visible=False)
-        output_box = gr.Textbox(label="Results", placeholder="Results will appear here.")
+        output_box = gr.Textbox(label="Results", placeholder="Results will appear here.", lines=10)
+
+    with gr.Row():
+        tts_button = gr.Button("🔊 Read Aloud")
+        tts_audio = gr.Audio(label="Audio", autoplay=True)
 
-    # Update the detecting_label and result in outputs
+        translate_button = gr.Button("🌐 Translate to Bangla")
+        translated_output = gr.Textbox(label="বাংলা অনুবাদ", placeholder="Bangla translation will appear here.", lines=10)
+
+    # Main prediction
     proceed_button.click(handle_proceed, inputs=[image_input, leaf_type], outputs=[detecting_label, output_box])
 
+    # Text-to-speech
+    tts_button.click(text_to_speech, inputs=[output_box], outputs=[tts_audio])
+
+    # Translate
+    translate_button.click(translate_to_bangla, inputs=[output_box], outputs=[translated_output])
+
 if __name__ == "__main__":
     interface.launch()