Delete MULITLUINGAL TEXT EXTRACTOR.py

MULITLUINGAL TEXT EXTRACTOR.py

@@ -1,68 +0,0 @@
-from dotenv import load_dotenv
-
-load_dotenv()
-import pathlib
-import textwrap
-import streamlit as st
-import os
-from PIL import Image
-import google.generativeai as genai 
-
-os.getenv("GOOGLE_API_KEY")
-genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
-
-
-#input means what to do by this app which is the input prompt and is general
-#prompt means what it wants at that point of time
-#image means what image we want to apply 
-#this function gives the response from the model
-def get_gemini_response(input,image,prompt):
-    model=genai.GenerativeModel('gemini-pro-vision')
-    response=model.generate_content([input,image[0],prompt])
-    return response.text
-
-
-#load the image and convert the image in bytes
-def input_image_setup(uploaded_file):
-      if uploaded_file is not None:
-        # Read the file into bytes
-        bytes_data = uploaded_file.getvalue()
-
-        image_parts = [
-            {
-                "mime_type": uploaded_file.type, 
-                "data": bytes_data
-            }
-        ]
-        return image_parts
-      else:
-        raise FileNotFoundError("No file uploaded")
-
-
-st.set_page_config(page_title="Mulitlanguage Invoice Extractor")
-
-st.header("Mulitlanguage Invoice Extractor")
-input=st.text_input("Input Prompt: ",key="input")
-uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
-image=""   
-if uploaded_file is not None:
-    image = Image.open(uploaded_file)
-    st.image(image, caption="Uploaded Image.", use_column_width=True)
-
-
-submit=st.button("Tell me about the image")
-
-
-input_prompt = """
-               You are an expert in understanding invoices.
-               You will receive input images as invoices &
-               you will have to answer questions based on the input image
-               """
-
-
-
-if submit:
-    image_data=input_image_setup(uploaded_file)  #get the image data
-    response=get_gemini_response(input_prompt,image_data,input)
-    st.subheader("The response is")
-    st.write(response)