Create app1.py

app1.py

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+
+!sudo apt-get install tesseract-ocr
+!pip install pytesseract
+!pip install -q gradio
+import pytesseract
+import gradio
+!pip install DeepFace
+from deepface import DeepFace
+
+def ocr(img):
+  text = pytesseract.image_to_string(img)
+  return(text)
+
+ipath="/content/drive/MyDrive/Deep-Learning/Face-Analysis/"
+
+ocr(ipath+'image2ocr.jpg')
+
+gradio.Interface(ocr,"image","text").launch(share=True)
+
+def cara(img):
+  face_analysis = DeepFace.analyze(img_path = img)
+  sentimento = face_analysis[0]["dominant_emotion"]
+  genero = face_analysis[0]["dominant_gender"]
+  idade = face_analysis[0]["age"]
+  raca = face_analysis[0]["dominant_race"]
+  return("This is a " + str(genero) + ", " + str(idade) + " years old, " + str(raca) + " race and is " + str(sentimento))
+  #face_analysis
+
+cara(ipath+"happy-woman.jpg")
+
+cara(ipath+"angry-man.jpg")