Create app.py

app.py

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+from dotenv import load_dotenv
+from dotenv import find_dotenv
+
+load_dotenv(find_dotenv())#load all env variables
+
+import streamlit as st
+import os
+from PIL import Image
+import google.generativeai as genai
+
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+model = genai.GenerativeModel("gemini-pro-vision")
+
+def get_gemini_response(input,image,prompt):
+    response = model.generate_content([input, image[0],prompt])
+    return response.text
+
+def input_image_details(uploaded_file):
+    if uploaded_file is not None:
+        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="Multilanguage Invoice Extractor")
+st.header("Multilanguage Invoice Extractor")
+input = st.text_input("Input Prompt:", key="input")
+uploaded_file = st.file_uploader("Choose an image of the invoice...", type=["jpg","jpeg"])
+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 invoice")
+
+input_prompt="""
+You are an expert in understanding invoices. We will upload an image as an invoice
+and you will have to answer any questions based on the uploaded invoice image
+"""
+
+#If submit button is clicked
+
+if submit:
+    image_data = input_image_details(uploaded_file)
+    response = get_gemini_response(input_prompt,image_data,input)
+    st.subheader("The response is")
+    st.write(response)