Update app.py

app.py

@@ -1,46 +1,46 @@
-import google.generativeai as genai
-import streamlit as st
-import numpy as np
-from PIL import Image
-#from dotenv import load_dotenv
-#load_dotenv()
-import json
-
-import os
-GOOGLE_API_KEY=os.getenv('GOOGLE_API_KEY')
-genai.configure(api_key=GOOGLE_API_KEY)
-
-st.set_page_config(page_title='Description Generator',
-                   page_icon=':milky_way:',
-                   layout='centered',
-                   initial_sidebar_state='collapsed'
-                   )
-
-st.header('Description Generator')
-
-uploaded_file = st.file_uploader("Choose a file", type=["jpg", "jpeg", "png"])
-if uploaded_file is not None:
-    # To read file as bytes:
-    #bytes_data = uploaded_file.getvalue()
-    file_bytes = np.asarray(bytearray(uploaded_file.read()), dtype=np.uint8)
-    st.image(uploaded_file)
-
-    #from IPython.display import Image
-    img = Image.open(uploaded_file)
-
-    prompt = """This image contains a sketch.
-    try to identify and Describe the sketch as thoroughly as possible based on what you
-    see in the image, making sure to note all of the features. Return output in json format:
-    {description: description, features: [feature1, feature2, feature3, etc]}"""
-
-    submit=st.button('Generate')
-
-    if submit:
-        model = genai.GenerativeModel('gemini-1.5-flash')
-        response = model.generate_content([prompt, img])
-        response=json.loads(response.text)
-        st.write((response['description']))
-        number=1
-        for feature in response['features']:
-            st.write("Feature "+str(number)+" : "+str(feature))
-            number+=1
+import google.generativeai as genai
+import streamlit as st
+import numpy as np
+from PIL import Image
+#from dotenv import load_dotenv
+#load_dotenv()
+import json
+
+import os
+GOOGLE_API_KEY=os.getenv('GOOGLE_API_KEY')
+genai.configure(api_key=GOOGLE_API_KEY)
+
+st.set_page_config(page_title='Description Generator',
+                   page_icon=':milky_way:',
+                   layout='centered',
+                   initial_sidebar_state='collapsed'
+                   )
+
+st.header('Image Description Generator(Share Image get description)')
+
+uploaded_file = st.file_uploader("Choose a file", type=["jpg", "jpeg", "png"])
+if uploaded_file is not None:
+    # To read file as bytes:
+    #bytes_data = uploaded_file.getvalue()
+    file_bytes = np.asarray(bytearray(uploaded_file.read()), dtype=np.uint8)
+    st.image(uploaded_file)
+
+    #from IPython.display import Image
+    img = Image.open(uploaded_file)
+
+    prompt = """This image contains a sketch.
+    try to identify and Describe the sketch as thoroughly as possible based on what you
+    see in the image, making sure to note all of the features. Return output in json format:
+    {description: description, features: [feature1, feature2, feature3, etc]}"""
+
+    submit=st.button('Generate')
+
+    if submit:
+        model = genai.GenerativeModel('gemini-1.5-flash')
+        response = model.generate_content([prompt, img])
+        response=json.loads(response.text)
+        st.write((response['description']))
+        number=1
+        for feature in response['features']:
+            st.write("Feature "+str(number)+" : "+str(feature))
+            number+=1