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app.py

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+from dotenv import load_dotenv
+load_dotenv() ##loading all the envrionment variables from the .env file
+
+import streamlit as st
+import os
+import google.generativeai as genai
+from PIL import Image
+
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+## function to load Gemimi pro model and get responses
+model = genai.GenerativeModel("gemini-pro-vision")
+
+def get_gemini_response(input, image):
+    if input !="":
+        response = model.generate_content([input, image])
+    else:
+        response = model.generate_content(image)
+    return response.text
+
+st.set_page_config(page_title="Gemini Image Demo", page_icon=":robot:")
+st.header("Gemini Mulimodal Bot")
+input=st.text_input("Enter your question here:", key="input")
+
+uploaded_file = st.file_uploader("Choose an image...", type=["png", "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 image")
+
+##if submit is clickec
+if submit:
+    response=get_gemini_response(input, image)
+    st.subheader("The response is")
+    st.write(response)

requirements.txt

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+streamlit
+google-generativeai
+python-dotenv