app.py

import os

import face_recognition
import sklearn
from sklearn import svm

from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
import pickle
import numpy as np

import gradio as gr
# Importing Image module from PIL package 
from PIL import Image 
import PIL 
import pandas as pd
  

def greet(name):
    test_image_path="geeks.jpg"
    
    df=pd.read_csv("encodings.csv")
    my_custom_list=df.values.tolist()
    
    df2=pd.read_csv("names.csv")
    my_custom_list2=df2.values.tolist()

    encodings=my_custom_list
    names=my_custom_list2
    # creating a image object (main image) 
    im1 = Image.fromarray(name)
    # save a image using extension
    im1 = im1.save(test_image_path)
    test_image = face_recognition.load_image_file(test_image_path)
    #test_image_path="/content/cropped_images/chris_evans/chris_evans1.png"
    known_face_encodings=encodings
    known_face_names=names
    face_names=[]
    test_image = face_recognition.load_image_file(test_image_path)
    test_face_encodings = face_recognition.face_encodings(test_image)
    for face_encoding in test_face_encodings:
      matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
      name = "Unknown"
      # Or instead, use the known face with the smallest distance to the new face
      face_distances = face_recognition.face_distance(known_face_encodings, face_encoding)
      best_match_index = np.argmin(face_distances)
      if matches[best_match_index]:name = known_face_names[best_match_index]
      face_names.append(name)
    #print("All faces found in an image for test_image are:-")
    ans="Recognized Avengers either from robert_downey_jr, chris_hemsworth, chris_evans, mark_ruffalo or scarlett_johansson is or are:-"
    if face_names==[]:return(ans+"No one is present in the image")
    
    #for l in face_names:
        #for x in l:
            #ans=ans+","+x.upper()
    return(ans+str(face_names))
    
        



    

iface = gr.Interface(fn=greet, inputs=gr.inputs.Image(),title="Detect the famous avengers filmstars", description="Choose any one or multiple avengers casts from images of robert_downey_jr, chris_hemsworth, chris_evans, mark_ruffalo or scarlett_johansson ", outputs="text", theme="grass")
iface.launch()