Update app.py

app.py

@@ -7,9 +7,7 @@ import gradio
 import json
 from pathlib import Path
 from bs4 import BeautifulSoup
-import pytesseract
-from PIL import Image
-import numpy as np
+
 
 openai.api_key = os.getenv("OPENAI_API_KEY")
 
@@ -45,15 +43,15 @@ static_dir.mkdir(parents=True, exist_ok=True)
 
 
 
-def CustomChatGPT(html_explainer, recipe, image):
+def CustomChatGPT(html_explainer, recipe):
     recipe_name_str=""
     ingredients_str=""
     steps_str=""
     import_link_str = ""
 
 
-    if image is not None and bool(image):
-        recipe = pytesseract.image_to_string(Image.open(image))
+    # if image is not None and bool(image):
+    #    recipe = pytesseract.image_to_string(Image.open(image))
 
     if recipe is not None and bool(recipe):
         messages.append({"role": "user", "content": recipe})
@@ -93,7 +91,6 @@ html_explainer = '''
     <li>Click on Submit</li>
     <li>If you click import after receiving the results, the recipe can be imported in a compatible format with your favorite recipe app's browser extension.</li>
     </ol>
-    <p>You might be inclined to upload the image you took. You can do it! But I warn you that this functionality is not working perfectly yet, and it's resulting in funny recipes.</p>
     '''
 
 
@@ -108,13 +105,13 @@ gradio_txt_output_steps = gradio.Textbox(label="Preparation Steps", lines=2, pla
 
 demo = gradio.Interface(
     fn=CustomChatGPT,
-    inputs=[gradio_input_html_explainer, gradio_txt_input_recipe_content, gradio_input_image],
+    inputs=[gradio_input_html_explainer, gradio_txt_input_recipe_content],
     outputs=[gradio_txt_output_recipe_name, gradio_txt_output_ingredients,gradio_txt_output_steps,gradio.HTML()],
     title="Recipe Cleaner",
     allow_flagging="never"
 )
 
-# demo.launch()
-demo.launch(share=True)
+demo.launch()
+# demo.launch(share=True)