upload app.py

app.py

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+from dotenv import load_dotenv
+
+load_dotenv()  # take environment variables from .env.
+
+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"))
+
+# Function to load OpenAI model and get response
+def get_gemini_response(input, image, prompt):
+    model = genai.GenerativeModel('gemini-pro-vision')
+    response = model.generate_content([input, image[0], prompt])
+    return response.text
+
+# Function to format numeric value as currency
+def format_currency(value, currency_symbol='$'):
+    return f"{currency_symbol}{value:,.2f}"
+
+# Converting image into bytes
+def input_image_setup(uploaded_file):
+    # Check if a file has been uploaded
+    if uploaded_file is not None:
+        # Read the file into bytes
+        bytes_data = uploaded_file.getvalue()
+
+        image_parts = [
+            {
+                "mime_type": uploaded_file.type,  # Get the mime type of the uploaded file
+                "data": bytes_data
+            }
+        ]
+        return image_parts
+    else:
+        raise FileNotFoundError("No file uploaded")
+
+# Initialize our streamlit app
+st.set_page_config(page_title="Gemini Image Demo")
+st.header("Gemini Application")
+
+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
+"""
+
+input_text = 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")
+
+# If ask button is clicked
+if submit:
+    try:
+        image_data = input_image_setup(uploaded_file)
+        response = get_gemini_response(input_prompt, image_data, input_text)
+
+        # Print the raw response
+        st.subheader("Raw Response:")
+        st.text(response)
+
+        # Check if the response can be converted to a numeric value
+        if response.replace('.', '', 1).isdigit():
+            numeric_response = float(response)
+            formatted_response = format_currency(numeric_response, currency_symbol='£')
+            st.subheader("The Response is")
+            st.write(formatted_response)
+        else:
+            st.warning("Warning: The response is not a numeric value. Displaying raw response.")
+
+    except Exception as e:
+        st.error(f"Error: {str(e)}")