Update app.py

app.py

@@ -1,23 +1,16 @@
-pip install torch torchvision torchaudio gradio transformers
+pip install torch torchvision torchaudio
 
-import gradio as gr
-from transformers import AutoTokenizer, AutoModel
+import streamlit as st
+import streamlit.components.v1 as components
 
-# Load the tokenizer and model
+from transformers import AutoTokenizer, AutoModel
 tokenizer = AutoTokenizer.from_pretrained("team-lucid/trocr-small-korean")
 model = AutoModel.from_pretrained("team-lucid/trocr-small-korean")
 
-def read_html_file():
-    with open("index.html", 'r', encoding='utf-8') as f:
-        html_string = f.read()
-    return html_string
-
-def scan_candy_label():
-    html_content = read_html_file()
-    return html_content
+st.title("Candy Label Scanner")
 
-title = "Candy Label Scanner"
-description = "A web app to scan and display candy labels."
+# Embed the HTML file in the Streamlit app
+with open("index.html", 'r', encoding='utf-8') as f:
+    html_string = f.read()
 
-iface = gr.Interface(fn=scan_candy_label, inputs=[], outputs="html", title=title, description=description)
-iface.launch()
+components.html(html_string, height=800, scrolling=True)