Update app.py

app.py

@@ -1,58 +1,58 @@
-import streamlit as st
-import os
-import google.generativeai as genai
-from PIL import Image
-
-from dotenv import load_dotenv
-load_dotenv()
-
-# Configuring the google api key...
-genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
-
-# Function to load Gemini-pro-vision model...
-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_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="Extract your invoice")
-st.header("Extract your invoice")
-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 Invoice...!!!", use_column_width=True)
-
-submit = st.button("Tell me about the prompt")
-
-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 uploaded invoice input image
-"""
-
-if submit:
-    image_data = input_image_setup(uploaded_file)
-    response=get_gemini_response(input_prompt,image_data,input)
-    st.subheader("The Response is")
-    st.write(response)
+import streamlit as st
+import os
+import google.generativeai as genai
+from PIL import Image
+
+from dotenv import load_dotenv
+load_dotenv()
+
+# Configuring the google api key...
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+# Function to load Gemini-pro-vision model...
+model = genai.GenerativeModel("gemini-1.5-pro")
+
+def get_gemini_response(input,image, prompt):
+    response = model.generate_content([input, image[0], prompt])
+    return response.text
+
+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="Extract your invoice")
+st.header("Extract your invoice")
+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 Invoice...!!!", use_column_width=True)
+
+submit = st.button("Tell me about the prompt")
+
+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 uploaded invoice input image
+"""
+
+if submit:
+    image_data = input_image_setup(uploaded_file)
+    response=get_gemini_response(input_prompt,image_data,input)
+    st.subheader("The Response is")
+    st.write(response)