Upload app.py

app.py

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+import streamlit as st
+import os
+import google.generativeai as genai
+from PIL import Image
+from dotenv import load_dotenv
+
+#Load environment variables from .env file
+load_dotenv()
+
+# Configure api
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+# Function to load Gemini Pro model and get responses
+model = genai.GenerativeModel("gemini-1.5-flash")
+
+def get_gemini_response(input, image):
+    if input:
+        response=model.generate_content([input,image], stream=True)
+        response.resolve()
+    else:
+        response=model.generate_content([image])
+    return response.text
+    
+##initialize streamlit app
+st.set_page_config(page_title="PicQuery")
+
+# App name
+st.markdown("<h4 style='text-align: center;'>PicQuery</h4>", unsafe_allow_html=True)
+
+# Upload image
+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)
+
+# Input and Submit button
+input=st.text_input(" ", key="input", placeholder="Ask about the image")
+submit=st.button("Submit")
+
+## if submit is clicked
+if submit:
+    response=get_gemini_response(input,image)
+    st.write(response)
+    
+    
+