Delete src

src/Home.py

@@ -1,112 +0,0 @@
-import streamlit as st
-from pathlib import Path
-import json
-import urllib.parse as ul
-
-st.set_page_config(page_title="AutoTA | Pause. Ask. Progress.",
-                   page_icon="🎓",
-                   layout="centered",
-                   initial_sidebar_state="collapsed",
-                   )
-
-# --------------  Dummy catalogue  --------------
-# Replace with your DB / API
-videos = [
-    {
-        "id": "intro_algo",
-        "title": "Introduction to Algorithms and Analysis – Lec 1: Insertion Sort",
-        "summary": "An introduction to the Insertion Sort algorithm and its complexity.",
-        "url": "https://www.youtube.com/watch?v=oZgbwa8lvDE", # Corrected YouTube URL
-        "thumbnail": "https://i.ytimg.com/vi/oZgbwa8lvDE/hqdefault.jpg",
-        "video_file": "videos/oZgbwa8lvDE.mp4",
-        "transcript_file": "transcripts/oZgbwa8lvDE.csv"
-    },
-    {
-        "id": "dl_basics",
-        "title": "Deep Learning(CS7015): Lec 2.5 Perceptron Learning Algorithm",
-        "summary": "An introduction to the perceptron learning algorithm with an example.",
-        "url": "https://www.youtube.com/watch?v=VRcixOuG-TU", # Corrected YouTube URL
-        "thumbnail": "https://i.ytimg.com/vi/VRcixOuG-TU/hqdefault.jpg",
-        "video_file": "videos/VRcixOuG-TU.mp4",
-        "transcript_file": "transcripts/VRcixOuG-TU.csv"
-    },
-    {
-        "id": "python_intro",
-        "title": "Unit testing | Intro to CS - Python | Khan Academy",
-        "summary": "How do teams of programmers continuously write and revise code without breaking things? Unit tests define a function's expected behavior and then enforce that those requirements are met.",
-        "url": "https://www.youtube.com/watch?v=3OmfTIf-SOU", # Corrected YouTube URL
-        "thumbnail": "https://i.ytimg.com/vi/3OmfTIf-SOU/hqdefault.jpg",
-        "video_file": "videos/3OmfTIf-SOU.mp4",
-        "transcript_file": "transcripts/3OmfTIf-SOU.csv"
-    },
-]
-# Persists last timestamp per-user per-video
-progress_store = Path(".progress.json")
-if progress_store.exists():
-    last_pos = json.loads(progress_store.read_text())
-else:
-    last_pos = {}
-
-st.markdown(
-    """
-    <style>
-    .autota-style {
-        font-family: 'Montserrat', sans-serif; /* Define Montserrat */
-        text-align: center; /* Centers the text horizontally */
-        font-size: 100px;    /* Adjust the font size as desired */
-        font-weight: bold;  /* Optional: make it bold */
-        color: white;        /* Optional: change text color */
-        padding: 10px;      /* Optional: Add some padding around the text */
-    }
-    </style>
-    <div class="autota-style">AutoTA</div>
-    """,
-    unsafe_allow_html=True
-)
-st.markdown(
-    """
-    <style>
-    .center-desc {
-        font-family: 'Montserrat', sans-serif; /* Define Montserrat */
-        text-align: center; /* Centers the text horizontally */
-        font-size: 30px;    /* Adjust the font size as desired */
-        font-weight: bold;  /* Optional: make it bold */
-        color: #555;        /* Optional: change text color */
-        padding: 10px;      /* Optional: Add some padding around the text */
-    }
-    </style>
-    <div class="center-desc">A Virtual TA to interact with lecture videos</div>
-    """,
-    unsafe_allow_html=True
-)
-st.divider()
-
-st.title("Video Gallery")
-
-st.markdown("---") # Separator
-
-for video in videos:
-    with st.container(border=True):
-        col1, col2 = st.columns([1, 3]) # Column for thumbnail, column for text
-
-        with col1:
-            # Use Streamlit's markdown to embed HTML for a clickable image link.
-            # The 'href' should point to the page name (from the 'pages' folder, without '.py').
-            # Query parameters are used to pass data (like video_id).
-            st.markdown(
-                f"""
-                <a href="/VideoViewer?video_id={video['id']}" target="_self">
-                    <img src="{video['thumbnail']}" width="160" style="border-radius: 8px; box-shadow: 0 4px 8px rgba(0,0,0,0.1); display: block; margin: auto;">
-                </a>
-                """,
-                unsafe_allow_html=True
-            )
-
-        with col2:
-            st.subheader(video['title'])
-            st.write(video['summary'])
-            # You can also add a direct Streamlit link button for clarity
-            # This is an alternative or supplementary way to navigate
-
-    st.markdown("---") # Separator between video entries
-            

src/README.md

@@ -1,20 +0,0 @@
-# AutoTA
-
-AutoTA is an interface for interacting with educational lecture videos.
-
-## Installation
-
-Install the required dependencies:
-```bash
-pip install -r requirements.txt
-```
-
-## To run locally
-
-To run the demo locally:
-```bash
-streamlit run Home.py
-```
-## Some Additional Information
-
-Please add your own API key to chatbot/llm_answer.py.

src/get_transcripts.py

@@ -1,25 +0,0 @@
-import pandas as pd 
-from youtube_transcript_api import YouTubeTranscriptApi
-from pytube import extract
-
-ids = ['oZgbwa8lvDE', 'VRcixOuG-TU']  # Example video IDs
-count = 0
-for i in range(len(ids)):
-    #url = df['video_url'][0]
-    try:
-        id = ids[i]
-
-        transcript = YouTubeTranscriptApi.get_transcript(id)
-        #print(transcript[0])
-        file_df = pd.DataFrame()
-        for j in range(len(transcript)):
-            file_df = file_df._append([dict(transcript[j])])
-        file_df.reset_index()
-        transcript_filename = str(id)+".csv"
-        file_path = "/Users/sourjyadip/Desktop/autota/transcripts/" + transcript_filename
-        file_df.to_csv(file_path)
-        print(i, " done")
-    except:
-        count += 1
-
-print("number of skipped videos: ", count)

src/requirements.txt

@@ -1,49 +0,0 @@
-altair==5.5.0
-attrs==25.3.0
-blinker==1.9.0
-cachetools==6.1.0
-certifi==2025.7.9
-charset-normalizer==3.4.2
-click==8.2.1
-gitdb==4.0.12
-GitPython==3.1.44
-idna==3.10
-Jinja2==3.1.6
-jsonschema==4.24.0
-jsonschema-specifications==2025.4.1
-MarkupSafe==3.0.2
-MouseInfo==0.1.3
-narwhals==1.46.0
-numpy==2.2.6
-opencv-python==4.12.0.88
-packaging==25.0
-pandas==2.3.1
-pillow==11.3.0
-protobuf==6.31.1
-pyarrow==20.0.0
-PyAutoGUI==0.9.54
-pydeck==0.9.1
-PyGetWindow==0.0.9
-PyMsgBox==1.0.9
-pyobjc-core==11.1
-pyobjc-framework-Cocoa==11.1
-pyobjc-framework-Quartz==11.1
-pyperclip==1.9.0
-PyRect==0.2.0
-PyScreeze==1.0.1
-python-dateutil==2.9.0.post0
-pytweening==1.2.0
-pytz==2025.2
-referencing==0.36.2
-requests==2.32.4
-rpds-py==0.26.0
-rubicon-objc==0.5.1
-six==1.17.0
-smmap==5.0.2
-streamlit==1.46.1
-tenacity==9.1.2
-toml==0.10.2
-tornado==6.5.1
-typing_extensions==4.14.1
-tzdata==2025.2
-urllib3==2.5.0

src/streamlit_app.py

@@ -1,40 +0,0 @@
-import altair as alt
-import numpy as np
-import pandas as pd
-import streamlit as st
-
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))