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.env

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+GOOGLE_API_KEY = "AIzaSyBPEcTP4hlkaSTeKQh2jLQhu550H1pwOrI"

app.py

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+# import required libraries
+from dotenv import load_dotenv 
+load_dotenv()  # to load all the env variables
+
+import streamlit as st
+import os
+import google.generativeai as genai
+from PIL import Image
+import time
+
+#-------------------------------------------#
+
+genai.configure(api_key= os.getenv("GOOGLE_API_KEY"))
+
+# creating function to load gemini pro model
+
+model = genai.GenerativeModel("gemini-pro-vision")
+model1 = genai.GenerativeModel("gemini-pro")
+
+def get_response(input,image):
+
+    start_time = time.time()
+
+    if input != '' and image is not None:
+        response = model.generate_content([input,image])
+        
+    
+    elif image == None:
+        response = model1.generate_content(input)
+      
+    
+        
+    else:
+        response = model.generate_content(image)
+        #response =  response.parts
+        #for part in response:
+            #return (part.text)
+        
+    end_time = time.time()
+    response_time = end_time - start_time
+    
+    return response.text,response_time
+
+    
+
+
+
+
+# To set up streamlit
+
+st.set_page_config(page_title="Content Generation LLM Model using Gemini")
+st.header("Content Generation LLM Model ")
+
+input = st.text_input("Input Prompt", key="input")
+
+
+uploaded_file = st.file_uploader("Input Image", type=["jpg", "jpeg", "png"])
+image=None
+if uploaded_file is not None:
+    image = Image.open(uploaded_file)
+    st.image(image, caption="Uploaded Image.", use_column_width=True)
+
+submit = st.button("Generate")
+
+
+## when submit button is clicked,
+
+if submit:
+    response_text,response_time = get_response(input,image)
+    
+    st.subheader("The Generated Content:")
+    st.write(response_text)
+    st.write("Response Time :" ,response_time)
+
+