Update app.py
Browse files
app.py
CHANGED
@@ -19,7 +19,6 @@ import shutil
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import streamlit as st
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import streamlit.components.v1 as components
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import sys
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import textract
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import time
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import torch
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import zipfile
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@@ -226,7 +225,7 @@ def download_pdf(url, output_path):
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async def process_pdf_snapshot(pdf_path, mode="single"):
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start_time = time.time()
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status = st.empty()
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status.text(f"Processing PDF
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try:
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doc = fitz.open(pdf_path)
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output_files = []
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@@ -373,6 +372,7 @@ def process_video(video_path, user_prompt):
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def process_video_frames(video_path, seconds_per_frame=2):
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base64Frames = []
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base_video_path, _ = os.path.splitext(video_path)
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video = cv2.VideoCapture(video_path)
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total_frames = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
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fps = video.get(cv2.CAP_PROP_FPS)
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@@ -582,7 +582,7 @@ def FileSidebar():
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FileSidebar()
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tabs = st.tabs(["Camera 📷", "Download
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(tab_camera, tab_download, tab_ocr, tab_build, tab_imggen, tab_pdf, tab_image, tab_audio, tab_video, tab_code, tab_gallery, tab_search) = tabs
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with tab_camera:
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import streamlit as st
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import streamlit.components.v1 as components
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import sys
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import time
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import torch
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import zipfile
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async def process_pdf_snapshot(pdf_path, mode="single"):
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start_time = time.time()
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status = st.empty()
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status.text(f"Processing PDF Snapshot ({mode})... (0s)")
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try:
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doc = fitz.open(pdf_path)
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output_files = []
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def process_video_frames(video_path, seconds_per_frame=2):
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base64Frames = []
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base_video_path, _ = os.path.splitext(video_path)
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base_video_path = video_path
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video = cv2.VideoCapture(video_path)
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total_frames = int(video.get(cv2.CAP_PROP_FRAME_COUNT))
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fps = video.get(cv2.CAP_PROP_FPS)
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FileSidebar()
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tabs = st.tabs(["Camera 📷", "Download 📥", "OCR 🔍", "Build 🌱", "Image Gen 🎨", "PDF 📄", "Image 🖼️", "Audio 🎵", "Video 🎥", "Code 🧑💻", "Gallery 📚", "Search 🔎"])
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(tab_camera, tab_download, tab_ocr, tab_build, tab_imggen, tab_pdf, tab_image, tab_audio, tab_video, tab_code, tab_gallery, tab_search) = tabs
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with tab_camera:
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