Create vision.py

vision.py

@@ -0,0 +1,52 @@
+# Q&A Chatbot
+#from langchain.llms import OpenAI
+
+from dotenv import load_dotenv
+
+load_dotenv()  # take environment variables from .env.
+
+import streamlit as st
+import os
+import pathlib
+import textwrap
+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 respones
+
+def get_gemini_response(input,image):
+    model = genai.GenerativeModel('gemini-pro-vision')
+    if input!="":
+       response = model.generate_content([input,image])
+    else:
+       response = model.generate_content(image)
+    return response.text
+
+##initialize our streamlit app
+
+st.set_page_config(page_title="Gemini Image Demo")
+
+st.header("Gemini Application")
+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")
+
+## If ask button is clicked
+
+if submit:
+    
+    response=get_gemini_response(input,image)
+    st.subheader("The Response is")
+    st.write(response)