Create app.py

app.py

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+import streamlit as st
+import os
+import google.generativeai as genai
+from PIL import Image
+
+
+
+## Function to load Google Gemini Pro Vision API And get response
+
+def get_gemini_repsonse(input,image,prompt):
+    model=genai.GenerativeModel('gemini-1.5-flash')
+    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="Biodiversity Detection App")
+
+st.header("Biodiversity")
+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("Find the Species")
+
+input_prompt="""
+you are an expert taxonomist where you need to see the image and return detailed info about the species including its Name,common name,Kingdom,phylum and class,family ,genus,native country .
+Also generate a short informatie ,engaging 150 words story like national geographic story about that species,it's life and history with other images of same species (in both text and audio format). 
+the image you can answer is of only living organisms like animals,plants etc.
+Do not return results for non-living objects.
+If image does not contain living organism or something which you do not know respond with invalid input.
+
+
+"""
+
+## If submit button is clicked
+
+if submit:
+    image_data=input_image_setup(uploaded_file)
+    response=get_gemini_repsonse(input_prompt,image_data,input)
+   
+    st.write(response)
+