Create app.py

app.py

@@ -0,0 +1,60 @@
+import cv2
+import easyocr
+import numpy as np
+from gtts import gTTS
+import os
+import pygame
+import gradio as gr
+
+# Initialize OCR reader and TTS system
+reader = easyocr.Reader(['tr'])
+pygame.mixer.init()
+
+def capture_and_process():
+    # Open webcam, capture frame, and save it
+    capture = cv2.VideoCapture(0)
+    ret, frame = capture.read()
+    capture.release()
+    
+    if not ret:
+        return "Failed to capture image", None
+    
+    # Save the captured image
+    filename = 'captured_image.png'
+    cv2.imwrite(filename, frame)
+    
+    # Run OCR on the saved image
+    results = reader.readtext(filename)
+    
+    # Prepare text-to-speech for each detected text
+    detected_text = []
+    for result in results:
+        if result[1].strip() == "":
+            continue
+        text = result[1]
+        detected_text.append(text)
+        
+        # Convert text to speech and play it
+        tts = gTTS(text=text.lower(), lang='tr')
+        tts.save("output.mp3")
+        pygame.mixer.music.load("output.mp3")
+        pygame.mixer.music.play()
+        
+        # Wait until the speech is done
+        while pygame.mixer.music.get_busy():
+            pygame.time.Clock().tick(10)
+    
+    # Return the captured image and detected text
+    return detected_text, frame[..., ::-1]  # Convert BGR to RGB for display in Gradio
+
+# Gradio interface
+interface = gr.Interface(
+    fn=capture_and_process, 
+    inputs=None, 
+    outputs=[gr.outputs.Textbox(label="Detected Text"), gr.outputs.Image(type="numpy", label="Captured Image")],
+    live=True
+)
+
+# Launch the app
+if __name__ == "__main__":
+    interface.launch()