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app.py

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+import streamlit as st
+import cv2
+from PIL import Image
+import os
+import requests
+from io import BytesIO
+from dotenv import load_dotenv
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Your Google API Key from the .env file
+GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
+
+st.set_page_config(page_title="Insightly")
+st.sidebar.image("https://i.ibb.co/bX6GdqG/insightly-wbg.png", use_column_width=True)
+st.title("Frame Capturer 📸")
+uploaded_video = st.file_uploader("Choose video", type=["mp4", "mov"])
+frame_skip = 150  # display every 150 frames
+
+# Add custom CSS to increase space between images
+st.markdown(
+    """
+    <style>
+    .image-container {
+        margin-bottom: 60px;
+    }
+    .sidebar-link {
+        display: flex;
+        justify-content: left;
+        font-size: 24px;
+        margin-top: 20px;
+    }
+    </style>
+    """,
+    unsafe_allow_html=True,
+)
+
+# Function to perform reverse image search using the Google API
+def reverse_image_search(image_bytes):
+    url = "https://www.googleapis.com/customsearch/v1"
+    params = {
+        "key": GOOGLE_API_KEY,
+        "cx": "015419011015122782581:_3y6h7e8b9q",
+        "q": "image",
+        "searchType": "image",
+        "imgSize": "large",
+        "num": 5,
+    }
+
+    response = requests.post(url, params=params, files={"file": image_bytes})
+    if response.ok:
+        data = response.json()
+        return data.get("items", [])
+    else:
+        return []
+
+if uploaded_video is not None:  # run only when the user uploads a video
+    vid = uploaded_video.name
+    with open(vid, mode='wb') as f:
+        f.write(uploaded_video.read())  # save video to disk
+
+    st.markdown(f"""
+    ### Files
+    - {vid}
+    """,
+                unsafe_allow_html=True)  # display file name
+
+    vidcap = cv2.VideoCapture(vid)  # load video from disk
+    cur_frame = 0
+    success = True
+
+    while success:
+        success, frame = vidcap.read()  # get the next frame from the video
+        if cur_frame % frame_skip == 0:  # only analyze every n=300 frames
+            print('frame: {}'.format(cur_frame))
+            frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)  # convert BGR to RGB
+            pil_img = Image.fromarray(frame_rgb)  # convert the OpenCV frame (with type()==numpy) into PIL Image
+
+            # Add custom class to the image container for applying CSS
+            st.image(pil_img, channels='RGB', use_column_width=True, caption=f"Frame {cur_frame}")
+
+            # Get the bytes of the current image
+            image_bytes = BytesIO()
+            pil_img.save(image_bytes, format="JPEG")
+
+            if st.button("Reverse Image Search", key=f"search_{cur_frame}"):
+                results = reverse_image_search(image_bytes.getvalue())
+                if results:
+                    st.markdown("### Reverse Image Search Results:")
+                    for result in results:
+                        st.image(result["link"], use_column_width=True, caption=result["title"])
+
+            st.markdown(
+                """
+                <div class="image-container"></div>
+                """,
+                unsafe_allow_html=True,
+            )
+
+        cur_frame += 1
+
+# Add link to the sidebar
+st.sidebar.markdown("<p class='sidebar-link'>📈  <a href='https://insightly-csv-bot.hf.space/'> Insightly - CSV Bot</a></p>", unsafe_allow_html=True)
+st.sidebar.markdown("<p class='sidebar-link'>📚  <a href='https://chandrakalagowda-demo2.hf.space/'> Insightly - PDF Bot </a></p>", unsafe_allow_html=True)
+st.sidebar.markdown("<p class='sidebar-link'>🖼️  <a href='https://insightly-image-reader.hf.space'> Insightly - Image Reader</a></p>", unsafe_allow_html=True)

requirements.txt

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+altair==5.0.1
+attrs==23.1.0
+blinker==1.6.2
+cachetools==5.3.1
+certifi==2023.5.7
+charset-normalizer==3.2.0
+click==8.1.6
+colorama==0.4.6
+decorator==5.1.1
+gitdb==4.0.10
+GitPython==3.1.32
+google-api-core==2.11.1
+google-api-python-client==2.48.0
+google-auth==2.22.0
+google-auth-httplib2==0.1.0
+Google-Images-Search==1.4.6
+googleapis-common-protos==1.59.1
+httplib2==0.22.0
+idna==3.4
+importlib-metadata==6.8.0
+Jinja2==3.1.2
+jsonschema==4.18.4
+jsonschema-specifications==2023.7.1
+markdown-it-py==3.0.0
+MarkupSafe==2.1.3
+mdurl==0.1.2
+numpy==1.25.1
+opencv-python==4.8.0.74
+packaging==23.1
+pandas==2.0.3
+Pillow==9.5.0
+protobuf==4.23.4
+pyarrow==12.0.1
+pyasn1==0.5.0
+pyasn1-modules==0.3.0
+pydeck==0.8.1b0
+pyfiglet==0.8.post1
+Pygments==2.15.1
+Pympler==1.0.1
+pyparsing==3.1.0
+python-dateutil==2.8.2
+python-dotenv==1.0.0
+python-resize-image==1.1.20
+pytz==2023.3
+pytz-deprecation-shim==0.1.0.post0
+referencing==0.30.0
+requests==2.31.0
+rich==13.4.2
+rpds-py==0.9.2
+rsa==4.9
+six==1.16.0
+smmap==5.0.0
+streamlit==1.24.1
+tenacity==8.2.2
+termcolor==1.1.0
+toml==0.10.2
+toolz==0.12.0
+tornado==6.3.2
+typing_extensions==4.7.1
+tzdata==2023.3
+tzlocal==4.3.1
+uritemplate==4.1.1
+urllib3==1.26.16
+validators==0.20.0
+watchdog==3.0.0
+zipp==3.16.2