First upload

app.py

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+import gradio as gr
+import PIL
+from PIL import Image
+from PIL import ImageDraw
+from PIL import ImageFont
+def predict(image, text,x_cor, y_cor, font_size, font_color, align, line_spacing):
+  # img = Image.open('/content/bean_youtube_exam.JPG')
+  img = Image.fromarray(image)
+  I1 = ImageDraw.Draw(img)
+  f_size = int(font_size)
+  myFont = ImageFont.truetype('Quintessential-Regular.ttf', f_size)
+  # if font_color[0] == "(":
+  #   font_color = tuple(font_color)
+  I1.multiline_text((int(x_cor), int(y_cor)), text, font=myFont, fill =ast.literal_eval(font_color), spacing = line_spacing, align = align)
+
+  return img
+intr = gr.Interface(predict, ["image", gr.Textbox(value="Is AI the Future of Fraud? \nFind out how ChatGPT Could Help You MAKE Fraud!", lines=10),
+                              gr.Number(value=10), gr.Number(value=10), gr.Number(value=50), 
+                              gr.Textbox(value="white"), gr.Textbox(value="left"), gr.Number(value=50)], 
+                    "image", title = "Next word predictor",debug=True, description = "Press or delete an extra space so the model will compute for current input."
+                    ,examples=[["bean_youtube_exam.JPG", "Is AI the Future of Fraud? \nFind out how ChatGPT Could Help You MAKE Fraud!",10, 10, 30, "white", "left", 20],
+                               ["distantlights1fb.jpg","Is AI the Future of Fraud? \nFind out how ChatGPT Could Help You MAKE Fraud!",10, 10, 50, "(255,200,100)", "left", 20 ]])
+intr.launch(inline = False)

requirements.txt

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+PIL
+gradio