lfs

.gitattributes

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 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *wav filter=lfs diff=lfs merge=lfs -text
 *.PNG filter=lfs diff=lfs merge=lfs -text
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
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+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.model filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -1,49 +1,12 @@
-# Video Meeting Understanding
-
-This project uses gemini tu make a report about a video of a meeting using the video itself aswell as the transcript of the meeting.
-
-## Requirements
-Python 3.12
-
-## How to setup
-1. Create an environment and install dependecies
-   
-   ```bash
-   conda create -n meetUnder python=3.12
-   conda activate meetUnder
-   pip install -r requirements.txt
-   ```
-
-2. Setup secrets in for streamlit
-
-   2.1 Create a new file in the .streamlit folder and name it secrets.toml. You will insert here the following keys
-
-   ```bash
-   GOOGLE_API_KEY = 'your_key_here'
-   ```
-
-   2.2 Create a new project in google cloud platform and activate the google cloud speech-to-text api and then create a new credentials for a service account and download the json key. Then copy paste the info in the json and put everything in one line and replace the : with =
-
-   ```bash
-   GOOGLE_APPLICATION_CREDENTIALS = { #json info here }
-   ```
-
-## How to run
-
-```bash
-streamlit run app.py
-```
-
-## How it works
-
-**app.py** is the main point that controls the ui in streamlit
-
-**cloud_speech.py** makes the transcription of the sound file of the meeting
-
-**vision_api_call.py** The name is wron for what it does. This is the file that takes the transcription and the video itself and gives them to gemini api that makes the report.
-
-## Where to find it
-
-Path on **rtx** : /home/vladp/Projects/meetingUnderstanding/
-
-Env : meetUnder
+---
+title: MeetingUnderstandingDemo
+emoji: 🌍
+colorFrom: indigo
+colorTo: yellow
+sdk: streamlit
+sdk_version: 1.44.1
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

style.css

@@ -1,32 +1,76 @@
-h1, h2, h3, h4, h5, h6 {
+body {
+	font-family: 'Inter Tight', Arial, Helvetica, sans-serif !important;
+	font-size: 14px !important;
+	text-align: left !important;
+}
+
+/* Headings */
+h1, h2, h3 {
 	font-family: "Space Grotesk", sans-serif !important;
   font-optical-sizing: auto !important;
-	font-weight: 700 !important;
+	font-weight: 500 !important;
   font-style: normal !important;
 }
-
 h1, h2 {
-	letter-spacing: -1px !important;
+	letter-spacing: -2px !important;
 }
-
 h1 {
-	font-size: 36px !important;
+	font-size: 34px !important;
 }
-
 h2 {
-	font-size: 27px !important;
+	font-size: 21px !important;
+}
+h3 {
+	font-size: 17px !important;
+}
+h4 {
+	font-size: 14px !important;
+}
+
+/* Butoane */
+
+button,
+.myButton {
+	font-weight: 600 !important;
+}
+button:hover,
+.myButton:hover {
+	color: #FA6C03 !important;
+	border-color: #FA6C03 !important;
+}
+button:focus,
+.myButton:focus {
+	color: #fff !important;
+	background-color: #FA6C03 !important;
 }
 
+/* Buton sidebar */
+[data-testid="stSidebar"] .stButton>button {
+	background-color: #4169E1 !important;
+}
+
+/* Bara loading */
 .st-emotion-cache-1dp5vir {
 	background-image: linear-gradient(90deg, rgb(65, 105, 225), rgb(0, 255, 255)) !important;
 }
 
-body {
-	font-family: 'Inter Tight', Arial, Helvetica, sans-serif !important;
-	font-size: 14px !important;
-	text-align: left !important;
+/* Bara stanga */
+.st-emotion-cache-vmpjyt {
+	background-color: #f5f5f5 !important;
+}
+
+/* Select */
+.st-ae,
+.st-az {
+	font-family: inherit !important;
 }
 
-p , textarea {
-	font-family: 'Inter Tight', Arial, Helvetica, sans-serif !important;
-}
+/* File Select */
+.st-emotion-cache-1gulkj5 {
+	background-color: #f5f5f5 !important;
+}
+
+/* Other fonts */
+[class^="st-emotion-cache-"] {
+  font-family: 'Inter Tight', Arial, Helvetica, sans-serif !important;
+}