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CB commited on
Update streamlit_app.py
Browse files- streamlit_app.py +51 -38
streamlit_app.py
CHANGED
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@@ -1,8 +1,8 @@
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# streamlit_app.py
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import os
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import string
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import time
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import json
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from glob import glob
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from pathlib import Path
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@@ -10,30 +10,41 @@ import yt_dlp
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import ffmpeg
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import streamlit as st
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from dotenv import load_dotenv
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import requests
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load_dotenv()
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# Optional
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try:
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import google.generativeai as genai
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from google.generativeai import upload_file, get_file
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GENAI = genai
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HAS_GENAI = True
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except Exception:
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st.set_page_config(page_title="Generate the story of videos:", layout="wide")
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DATA_DIR = Path("./data")
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DATA_DIR.mkdir(exist_ok=True)
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st.session_state.setdefault("videos", "")
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# default loop unchecked as requested
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st.session_state.setdefault("loop_video", False)
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#
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st.sidebar.header("Video Input")
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st.sidebar.text_input("Video URL (or local .mp4 path)", key="url", placeholder="Enter Video URL or path")
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@@ -41,7 +52,6 @@ settings_exp = st.sidebar.expander("Settings", expanded=False)
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env_api_key = os.getenv("GOOGLE_API_KEY", "")
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API_KEY = settings_exp.text_input("Google API Key", value=env_api_key, placeholder="Set GOOGLE_API_KEY in .env or enter here")
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# Keep model_id as the short model name (e.g. "gemini-2.0-flash-lite")
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raw_model = settings_exp.text_input("Gemini Model (model name)", "gemini-2.0-flash-lite")
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model_id = raw_model.strip() or "gemini-2.0-flash-lite"
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@@ -51,7 +61,7 @@ settings_exp.text_input("Video Password", key="video-password", placeholder="Ent
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if not API_KEY:
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settings_exp.warning("No Google API key provided. Uploading/processing will not work.", icon="⚠️")
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#
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safety_settings = [
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{"category": "HARM_CATEGORY_HARASSMENT", "threshold": "OFF"},
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{"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "OFF"},
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@@ -59,7 +69,7 @@ safety_settings = [
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{"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "OFF"},
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]
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#
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def sanitize_filename(path_str: str):
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name = Path(path_str).name
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name = name.lower().translate(str.maketrans("", "", string.punctuation)).replace(" ", "_")
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@@ -82,7 +92,7 @@ def download_video_ytdlp(url: str, save_dir: str, video_password: str = None) ->
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# local file
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if os.path.exists(url) and os.path.isfile(url):
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return convert_video_to_mp4(url)
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outtmpl =
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ydl_opts = {"outtmpl": outtmpl, "format": "best"}
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if video_password:
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ydl_opts["videopassword"] = video_password
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@@ -96,7 +106,18 @@ def download_video_ytdlp(url: str, save_dir: str, video_password: str = None) ->
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raise FileNotFoundError("Downloaded video not found")
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return convert_video_to_mp4(matches[0])
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#
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if st.sidebar.button("Load Video", use_container_width=True):
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try:
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video_password = st.session_state.get("video-password", "")
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@@ -138,13 +159,13 @@ if st.session_state["videos"]:
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st.sidebar.write("Title:", Path(st.session_state["videos"]).name)
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# Upload
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def upload_video(filepath: str):
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if not API_KEY:
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raise RuntimeError("No API key provided")
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if HAS_GENAI and callable(upload_file):
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return upload_file(filepath)
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# REST
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url = "https://generative.googleapis.com/v1beta2/files?uploadType=multipart"
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headers = {"Authorization": f"Bearer {API_KEY}"}
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metadata = {"mimeType": "video/mp4", "displayName": Path(filepath).name}
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@@ -182,7 +203,7 @@ def poll_file_processed(file_obj, timeout=180):
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raise TimeoutError("File processing timed out")
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time.sleep(2)
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#
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def call_model_with_file(prompt_text: str, uploaded_file_obj):
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if not API_KEY:
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raise RuntimeError("No API key provided")
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@@ -193,34 +214,26 @@ def call_model_with_file(prompt_text: str, uploaded_file_obj):
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else uploaded_file_obj.get("name") or uploaded_file_obj.get("id")
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)
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# Prefer SDK
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if HAS_GENAI:
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# Use generativeapis.googleapis.com with correct path: /v1/models/{model}:generate
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endpoint = f"https://generativeapis.googleapis.com/v1/models/{model_id}:generate"
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body = {
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"input": [
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{
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"text": prompt_text,
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"files": [{"name": file_ref_name}],
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}
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],
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"safetySettings": safety_settings,
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"maxOutputTokens": 1000,
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}
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headers = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}
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r = requests.post(endpoint, headers=headers, json=body, timeout=180)
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r.raise_for_status()
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return r.json()
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# streamlit_app.py
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import os
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import time
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import json
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import string
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from glob import glob
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from pathlib import Path
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import ffmpeg
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import streamlit as st
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from dotenv import load_dotenv
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load_dotenv()
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# Optional SDK imports — we'll try to import and set flags
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HAS_GENAI = False
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GENAI = None
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try:
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import google.generativeai as genai
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from google.generativeai import upload_file, get_file
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GENAI = genai
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HAS_GENAI = True
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except Exception:
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upload_file = None
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get_file = None
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# Optional phi Agent (useful if phi is installed)
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HAS_PHI_AGENT = False
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try:
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from phi.agent import Agent
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from phi.model.google import Gemini
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from phi.tools.duckduckgo import DuckDuckGo
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HAS_PHI_AGENT = True
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except Exception:
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Agent = Gemini = DuckDuckGo = None
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st.set_page_config(page_title="Generate the story of videos:", layout="wide")
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DATA_DIR = Path("./data")
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DATA_DIR.mkdir(exist_ok=True)
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# Session defaults
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st.session_state.setdefault("videos", "")
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st.session_state.setdefault("loop_video", False)
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# Sidebar UI
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st.sidebar.header("Video Input")
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st.sidebar.text_input("Video URL (or local .mp4 path)", key="url", placeholder="Enter Video URL or path")
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env_api_key = os.getenv("GOOGLE_API_KEY", "")
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API_KEY = settings_exp.text_input("Google API Key", value=env_api_key, placeholder="Set GOOGLE_API_KEY in .env or enter here")
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raw_model = settings_exp.text_input("Gemini Model (model name)", "gemini-2.0-flash-lite")
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model_id = raw_model.strip() or "gemini-2.0-flash-lite"
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if not API_KEY:
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settings_exp.warning("No Google API key provided. Uploading/processing will not work.", icon="⚠️")
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# Safety settings (kept OFF by default)
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safety_settings = [
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{"category": "HARM_CATEGORY_HARASSMENT", "threshold": "OFF"},
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{"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "OFF"},
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{"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "OFF"},
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]
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# Helpers
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def sanitize_filename(path_str: str):
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name = Path(path_str).name
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name = name.lower().translate(str.maketrans("", "", string.punctuation)).replace(" ", "_")
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# local file
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if os.path.exists(url) and os.path.isfile(url):
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return convert_video_to_mp4(url)
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outtmpl = str(Path(save_dir) / "%(id)s.%(ext)s")
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ydl_opts = {"outtmpl": outtmpl, "format": "best"}
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if video_password:
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ydl_opts["videopassword"] = video_password
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raise FileNotFoundError("Downloaded video not found")
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return convert_video_to_mp4(matches[0])
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# Initialize SDK if available and API key present
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if API_KEY and HAS_GENAI:
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try:
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GENAI.configure(api_key=API_KEY)
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except Exception:
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# older SDK variants may use genai.configure or genai.set_api_key; try both silently
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try:
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GENAI.configure(api_key=API_KEY)
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except Exception:
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pass
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# Download action
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if st.sidebar.button("Load Video", use_container_width=True):
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try:
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video_password = st.session_state.get("video-password", "")
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st.sidebar.write("Title:", Path(st.session_state["videos"]).name)
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# Upload and polling using SDK if available, otherwise fallback to REST
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def upload_video(filepath: str):
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if not API_KEY:
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raise RuntimeError("No API key provided")
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if HAS_GENAI and callable(upload_file):
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return upload_file(filepath)
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# REST fallback (v1beta2 files endpoint)
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url = "https://generative.googleapis.com/v1beta2/files?uploadType=multipart"
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headers = {"Authorization": f"Bearer {API_KEY}"}
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metadata = {"mimeType": "video/mp4", "displayName": Path(filepath).name}
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raise TimeoutError("File processing timed out")
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time.sleep(2)
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# Use SDK generate when available (rest fallback also present but SDK preferred)
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def call_model_with_file(prompt_text: str, uploaded_file_obj):
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if not API_KEY:
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raise RuntimeError("No API key provided")
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else uploaded_file_obj.get("name") or uploaded_file_obj.get("id")
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)
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# Prefer SDK
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if HAS_GENAI and hasattr(GENAI, "responses") and hasattr(GENAI.responses, "generate"):
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request = {
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"model": f"models/{model_id}",
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"input": [{"text": prompt_text, "files": [{"name": file_ref_name}]}],
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"safetySettings": safety_settings,
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"maxOutputTokens": 1000,
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}
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return GENAI.responses.generate(**request)
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# REST v1 fallback (use short model id in URL)
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model_short = model_id.split("/")[-1]
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endpoint = f"https://generativeapis.googleapis.com/v1/models/{model_short}:generate"
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body = {
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"input": [{"text": prompt_text, "files": [{"name": file_ref_name}]}],
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"safetySettings": safety_settings,
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"maxOutputTokens": 1000,
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}
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headers = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}
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import requests
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r = requests.post(endpoint, headers=headers, json=body, timeout=180)
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r.raise_for_status()
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return r.json()
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