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Update app.py
Browse files
app.py
CHANGED
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@@ -1,7 +1,6 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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from __future__ import annotations
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import os, shutil, subprocess, tempfile, base64, json
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from io import BytesIO
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from typing import List, Tuple
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@@ -9,7 +8,6 @@ import requests
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from PIL import Image, ImageFile, UnidentifiedImageError
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import gradio as gr
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# --- Config
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DEFAULT_KEY = os.getenv("MISTRAL_API_KEY", "")
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PIXTRAL_MODEL = "pixtral-12b-2409"
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VIDEO_MODEL = "voxtral-mini-latest"
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@@ -75,8 +73,10 @@ def fetch_bytes(src: str, stream_threshold: int = STREAM_THRESHOLD, timeout: int
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try:
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with open(p, "wb") as fh:
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for chunk in r.iter_content(8192):
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if chunk:
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-
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finally:
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try: os.remove(p)
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except Exception: pass
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@@ -85,23 +85,30 @@ def fetch_bytes(src: str, stream_threshold: int = STREAM_THRESHOLD, timeout: int
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r = safe_get(src, timeout=timeout)
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return r.content
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else:
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with open(src, "rb") as f:
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def save_bytes_to_temp(b: bytes, suffix: str) -> str:
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fd, path = tempfile.mkstemp(suffix=suffix)
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return path
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def convert_to_jpeg_bytes(img_bytes: bytes, base_h: int = 480) -> bytes:
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img = Image.open(BytesIO(img_bytes))
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try:
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if getattr(img, "is_animated", False):
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h = base_h
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w = max(1, int(img.width * (h / img.height)))
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img = img.resize((w, h), Image.LANCZOS)
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buf = BytesIO()
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return buf.getvalue()
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def b64_bytes(b: bytes, mime: str = "image/jpeg") -> str:
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@@ -109,20 +116,43 @@ def b64_bytes(b: bytes, mime: str = "image/jpeg") -> str:
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def extract_best_frames_bytes(media_path: str, sample_count: int = 5, timeout_extract: int = 15) -> List[bytes]:
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frames: List[bytes] = []
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if not FFMPEG_BIN or not os.path.exists(media_path):
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timestamps = [0.5, 1.0, 2.0, 3.0, 4.0][:sample_count]
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for i, t in enumerate(timestamps):
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fd, tmp = tempfile.mkstemp(suffix=f"_{i}.jpg")
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try:
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subprocess.run(
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if os.path.exists(tmp) and os.path.getsize(tmp) > 0:
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with open(tmp, "rb") as f:
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except Exception:
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pass
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finally:
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try:
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return frames
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def chat_complete(client, model: str, messages, timeout: int = 120) -> str:
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@@ -132,14 +162,33 @@ def chat_complete(client, model: str, messages, timeout: int = 120) -> str:
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else:
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api_key = getattr(client, "api_key", "") or DEFAULT_KEY
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url = "https://api.mistral.ai/v1/chat/completions"
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headers = (
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choices = getattr(res, "choices", None) or (res.get("choices") if isinstance(res, dict) else [])
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if not choices:
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first = choices[0]
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msg =
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return content.strip() if isinstance(content, str) else str(content)
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except Exception as e:
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return f"Error during model call: {e}"
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@@ -151,7 +200,8 @@ def upload_file_to_mistral(client, path: str, filename: str | None = None, purpo
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with open(path, "rb") as fh:
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res = client.files.upload(file={"file_name": fname, "content": fh}, purpose=purpose)
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fid = getattr(res, "id", None) or (res.get("id") if isinstance(res, dict) else None)
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if not fid:
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return fid
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except Exception:
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pass
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@@ -159,56 +209,95 @@ def upload_file_to_mistral(client, path: str, filename: str | None = None, purpo
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url = "https://api.mistral.ai/v1/files"
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headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
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with open(path, "rb") as fh:
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files = {"file": (fname, fh)}
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return jr.get("id") or jr.get("data", [{}])[0].get("id")
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def analyze_image_structured(client, img_bytes: bytes, prompt: str) -> str:
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jpeg = convert_to_jpeg_bytes(img_bytes, base_h=1024)
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data_url = b64_bytes(jpeg, mime="image/jpeg")
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messages = [
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return chat_complete(client, PIXTRAL_MODEL, messages)
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def analyze_video_cohesive(client, video_path: str, prompt: str) -> str:
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try:
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file_id = upload_file_to_mistral(client, video_path, filename=os.path.basename(video_path))
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extra_msg =
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return chat_complete(client, VIDEO_MODEL, messages)
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except Exception:
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frames = extract_best_frames_bytes(video_path, sample_count=6)
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if not frames:
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image_entries = []
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for i, fb in enumerate(frames, start=1):
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try:
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j = convert_to_jpeg_bytes(fb, base_h=720)
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image_entries.append(
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except Exception:
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continue
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content = [
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return chat_complete(client, PIXTRAL_MODEL, messages)
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def determine_media_type(src: str) -> Tuple[bool, bool]:
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is_image = False; is_video = False
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ext = ext_from_src(src)
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if ext in IMAGE_EXTS: is_image = True
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if ext in VIDEO_EXTS: is_video = True
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if is_remote(src):
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head = safe_head(src)
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if head:
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ctype = (head.headers.get("content-type") or "").lower()
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if ctype.startswith("image/"): is_image, is_video = True, False
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elif ctype.startswith("video/"): is_video, is_image = True, False
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return is_image, is_video
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def process_media(src: str, custom_prompt: str, api_key: str, progress=gr.Progress()) -> str:
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client = get_client(api_key)
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prompt = (custom_prompt or "").strip() or "Please provide a detailed visual review."
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if not src:
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progress(0.05, desc="Determining media type")
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is_image, is_video = determine_media_type(src)
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if is_image:
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try:
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raw = fetch_bytes(src)
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return "Error: provided file is not a valid image."
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except Exception as e:
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return f"Error analyzing image: {e}"
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if is_video:
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try:
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raw = fetch_bytes(src, timeout=120)
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progress(0.2, desc="Analyzing video")
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return analyze_video_cohesive(client, tmp_path, prompt)
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finally:
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try:
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try:
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raw = fetch_bytes(src)
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progress(0.2, desc="Treating as image")
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except Exception as e:
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return f"Unable to determine media type or fetch file: {e}"
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css = ".preview_media img, .preview_media video { max-width: 100%; height: auto; border-radius:6px; }"
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def _btn_label_for_status(status: str) -> str:
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return {"idle": "Submit", "busy": "Processing…", "done": "Submit", "error": "Retry"}.get(status
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def create_demo():
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with gr.Blocks(title="Flux Multimodal", css=css) as demo:
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with gr.Column(scale=1):
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preview_image = gr.Image(label="Preview Image", type="pil", elem_classes="preview_media", visible=False)
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preview_video = gr.Video(label="Preview Video", elem_classes="preview_media", visible=False)
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pip_button = gr.Button("Open Video in PiP", visible=False)
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with gr.Column(scale=2):
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url_input = gr.Textbox(label="Image / Video URL or local path", placeholder="https://... or /path/to/file", lines=1)
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with gr.Accordion("Prompt (optional)", open=False):
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custom_prompt = gr.Textbox(label="Prompt", lines=4, value="")
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with gr.Accordion("Mistral API Key (optional)", open=False):
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api_key = gr.Textbox(label="API Key", type="password", max_lines=1)
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output_md = gr.Markdown("")
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status_state = gr.State("idle")
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pip_html = gr.HTML("""<div id="pip-root" style="display:none"></div>
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<script>
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window.openPiP = (sel) => {
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try {
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const v = document.querySelector(sel);
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if (!v) return "no-video";
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if (v.requestPictureInPicture) { v.requestPictureInPicture(); return "opened"; }
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return "unsupported";
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} catch(e){ return "error:"+e; }
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};
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</script>""")
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def load_preview(url: str):
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empty_img = gr.update(value=None, visible=False)
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empty_vid = gr.update(value=None, visible=False)
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if not is_remote(url) and os.path.exists(url):
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ext = ext_from_src(url)
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if ext in VIDEO_EXTS:
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if ext in IMAGE_EXTS:
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try:
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img = Image.open(url)
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if getattr(img, "is_animated", False):
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head = safe_head(url)
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if head:
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ctype = (head.headers.get("content-type") or "").lower()
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try:
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r = safe_get(url, timeout=15)
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img = Image.open(BytesIO(r.content))
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if getattr(img, "is_animated", False):
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except Exception:
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return empty_img, empty_vid,
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url_input.change(fn=load_preview, inputs=[url_input],
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def clear_all():
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return "", gr.update(value=None, visible=False), gr.update(value=None, visible=False), "idle", gr.update(value=_btn_label_for_status("idle"))
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clear_btn.click(fn=clear_all, inputs=[], outputs=[url_input, preview_image, preview_video, status_state, submit_btn])
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def pip_click(_):
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js = "<script>setTimeout(()=>window.openPiP('video.preview_media'),50);</script>"
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return gr.HTML.update(value=js)
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pip_button.click(fn=pip_click, inputs=[url_input], outputs=[pip_html])
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def start_busy():
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s = "busy"
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return s, gr.update(value=_btn_label_for_status(s))
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def worker(url: str, prompt: str, key: str, progress=gr.Progress()):
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return process_media(url or "", prompt or "", key or "", progress=progress)
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-
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fn=lambda res: ("error", "**Error:** no result returned.") if not res else
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("error", f"**Error:** {res}") if isinstance(res, str) and res.lower().startswith("error") else ("done", res),
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inputs=[output_md],
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import os, shutil, subprocess, tempfile, base64, json
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from io import BytesIO
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from typing import List, Tuple
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from PIL import Image, ImageFile, UnidentifiedImageError
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import gradio as gr
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DEFAULT_KEY = os.getenv("MISTRAL_API_KEY", "")
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PIXTRAL_MODEL = "pixtral-12b-2409"
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VIDEO_MODEL = "voxtral-mini-latest"
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try:
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with open(p, "wb") as fh:
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for chunk in r.iter_content(8192):
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if chunk:
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fh.write(chunk)
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with open(p, "rb") as fh:
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return fh.read()
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finally:
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try: os.remove(p)
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except Exception: pass
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r = safe_get(src, timeout=timeout)
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return r.content
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else:
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with open(src, "rb") as f:
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return f.read()
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def save_bytes_to_temp(b: bytes, suffix: str) -> str:
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fd, path = tempfile.mkstemp(suffix=suffix)
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os.close(fd)
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with open(path, "wb") as f:
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f.write(b)
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return path
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def convert_to_jpeg_bytes(img_bytes: bytes, base_h: int = 480) -> bytes:
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img = Image.open(BytesIO(img_bytes))
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try:
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if getattr(img, "is_animated", False):
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img.seek(0)
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except Exception:
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pass
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if img.mode != "RGB":
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img = img.convert("RGB")
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h = base_h
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w = max(1, int(img.width * (h / img.height)))
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img = img.resize((w, h), Image.LANCZOS)
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buf = BytesIO()
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img.save(buf, format="JPEG", quality=85)
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return buf.getvalue()
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def b64_bytes(b: bytes, mime: str = "image/jpeg") -> str:
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def extract_best_frames_bytes(media_path: str, sample_count: int = 5, timeout_extract: int = 15) -> List[bytes]:
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frames: List[bytes] = []
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if not FFMPEG_BIN or not os.path.exists(media_path):
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return frames
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timestamps = [0.5, 1.0, 2.0, 3.0, 4.0][:sample_count]
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for i, t in enumerate(timestamps):
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fd, tmp = tempfile.mkstemp(suffix=f"_{i}.jpg")
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os.close(fd)
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cmd = [
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FFMPEG_BIN,
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"-nostdin",
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"-y",
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"-ss",
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str(t),
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"-i",
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media_path,
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"-frames:v",
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"1",
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"-q:v",
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"2",
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tmp,
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]
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| 139 |
try:
|
| 140 |
+
subprocess.run(
|
| 141 |
+
cmd,
|
| 142 |
+
stdout=subprocess.DEVNULL,
|
| 143 |
+
stderr=subprocess.DEVNULL,
|
| 144 |
+
timeout=timeout_extract,
|
| 145 |
+
)
|
| 146 |
if os.path.exists(tmp) and os.path.getsize(tmp) > 0:
|
| 147 |
+
with open(tmp, "rb") as f:
|
| 148 |
+
frames.append(f.read())
|
| 149 |
except Exception:
|
| 150 |
pass
|
| 151 |
finally:
|
| 152 |
+
try:
|
| 153 |
+
os.remove(tmp)
|
| 154 |
+
except Exception:
|
| 155 |
+
pass
|
| 156 |
return frames
|
| 157 |
|
| 158 |
def chat_complete(client, model: str, messages, timeout: int = 120) -> str:
|
|
|
|
| 162 |
else:
|
| 163 |
api_key = getattr(client, "api_key", "") or DEFAULT_KEY
|
| 164 |
url = "https://api.mistral.ai/v1/chat/completions"
|
| 165 |
+
headers = (
|
| 166 |
+
{"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
|
| 167 |
+
if api_key
|
| 168 |
+
else {"Content-Type": "application/json"}
|
| 169 |
+
)
|
| 170 |
+
r = requests.post(
|
| 171 |
+
url,
|
| 172 |
+
json={"model": model, "messages": messages},
|
| 173 |
+
headers=headers,
|
| 174 |
+
timeout=timeout,
|
| 175 |
+
)
|
| 176 |
+
r.raise_for_status()
|
| 177 |
+
res = r.json()
|
| 178 |
choices = getattr(res, "choices", None) or (res.get("choices") if isinstance(res, dict) else [])
|
| 179 |
+
if not choices:
|
| 180 |
+
return str(res)
|
| 181 |
first = choices[0]
|
| 182 |
+
msg = (
|
| 183 |
+
first.message
|
| 184 |
+
if hasattr(first, "message")
|
| 185 |
+
else (first.get("message") if isinstance(first, dict) else first)
|
| 186 |
+
)
|
| 187 |
+
content = (
|
| 188 |
+
msg.get("content")
|
| 189 |
+
if isinstance(msg, dict)
|
| 190 |
+
else getattr(msg, "content", None)
|
| 191 |
+
)
|
| 192 |
return content.strip() if isinstance(content, str) else str(content)
|
| 193 |
except Exception as e:
|
| 194 |
return f"Error during model call: {e}"
|
|
|
|
| 200 |
with open(path, "rb") as fh:
|
| 201 |
res = client.files.upload(file={"file_name": fname, "content": fh}, purpose=purpose)
|
| 202 |
fid = getattr(res, "id", None) or (res.get("id") if isinstance(res, dict) else None)
|
| 203 |
+
if not fid:
|
| 204 |
+
fid = res["data"][0]["id"]
|
| 205 |
return fid
|
| 206 |
except Exception:
|
| 207 |
pass
|
|
|
|
| 209 |
url = "https://api.mistral.ai/v1/files"
|
| 210 |
headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
|
| 211 |
with open(path, "rb") as fh:
|
| 212 |
+
files = {"file": (fname, fh)}
|
| 213 |
+
data = {"purpose": purpose}
|
| 214 |
+
r = requests.post(url, headers=headers, files=files, data=data, timeout=timeout)
|
| 215 |
+
r.raise_for_status()
|
| 216 |
+
jr = r.json()
|
| 217 |
return jr.get("id") or jr.get("data", [{}])[0].get("id")
|
| 218 |
|
| 219 |
+
def determine_media_type(src: str) -> Tuple[bool, bool]:
|
| 220 |
+
is_image = False
|
| 221 |
+
is_video = False
|
| 222 |
+
ext = ext_from_src(src)
|
| 223 |
+
|
| 224 |
+
if ext in IMAGE_EXTS:
|
| 225 |
+
is_image = True
|
| 226 |
+
if ext in VIDEO_EXTS:
|
| 227 |
+
is_video = True
|
| 228 |
+
|
| 229 |
+
if is_remote(src):
|
| 230 |
+
head = safe_head(src)
|
| 231 |
+
if head:
|
| 232 |
+
ctype = (head.headers.get("content-type") or "").lower()
|
| 233 |
+
if ctype.startswith("image/"):
|
| 234 |
+
is_image, is_video = True, False
|
| 235 |
+
elif ctype.startswith("video/"):
|
| 236 |
+
is_video, is_image = True, False
|
| 237 |
+
return is_image, is_video
|
| 238 |
def analyze_image_structured(client, img_bytes: bytes, prompt: str) -> str:
|
| 239 |
jpeg = convert_to_jpeg_bytes(img_bytes, base_h=1024)
|
| 240 |
data_url = b64_bytes(jpeg, mime="image/jpeg")
|
| 241 |
+
messages = [
|
| 242 |
+
{"role": "system", "content": SYSTEM_INSTRUCTION},
|
| 243 |
+
{
|
| 244 |
+
"role": "user",
|
| 245 |
+
"content": [
|
| 246 |
+
{"type": "text", "text": prompt},
|
| 247 |
+
{"type": "image_url", "image_url": data_url},
|
| 248 |
+
],
|
| 249 |
+
},
|
| 250 |
+
]
|
| 251 |
return chat_complete(client, PIXTRAL_MODEL, messages)
|
| 252 |
|
| 253 |
+
|
| 254 |
def analyze_video_cohesive(client, video_path: str, prompt: str) -> str:
|
| 255 |
try:
|
| 256 |
file_id = upload_file_to_mistral(client, video_path, filename=os.path.basename(video_path))
|
| 257 |
+
extra_msg = (
|
| 258 |
+
f"Uploaded video file id: {file_id}\n\n"
|
| 259 |
+
"Instruction: Analyze the entire video and produce a single cohesive narrative describing consistent observations."
|
| 260 |
+
)
|
| 261 |
+
messages = [
|
| 262 |
+
{"role": "system", "content": SYSTEM_INSTRUCTION},
|
| 263 |
+
{"role": "user", "content": extra_msg + "\n\n" + prompt},
|
| 264 |
+
]
|
| 265 |
return chat_complete(client, VIDEO_MODEL, messages)
|
| 266 |
except Exception:
|
| 267 |
frames = extract_best_frames_bytes(video_path, sample_count=6)
|
| 268 |
+
if not frames:
|
| 269 |
+
return "Error: could not upload video and no frames could be extracted."
|
| 270 |
image_entries = []
|
| 271 |
for i, fb in enumerate(frames, start=1):
|
| 272 |
try:
|
| 273 |
j = convert_to_jpeg_bytes(fb, base_h=720)
|
| 274 |
+
image_entries.append(
|
| 275 |
+
{
|
| 276 |
+
"type": "image_url",
|
| 277 |
+
"image_url": b64_bytes(j, mime="image/jpeg"),
|
| 278 |
+
"meta": {"frame_index": i},
|
| 279 |
+
}
|
| 280 |
+
)
|
| 281 |
except Exception:
|
| 282 |
continue
|
| 283 |
+
content = [
|
| 284 |
+
{"type": "text", "text": prompt + "\n\nPlease consolidate observations across these frames into a single cohesive narrative."}
|
| 285 |
+
] + image_entries
|
| 286 |
+
messages = [
|
| 287 |
+
{"role": "system", "content": SYSTEM_INSTRUCTION},
|
| 288 |
+
{"role": "user", "content": content},
|
| 289 |
+
]
|
| 290 |
return chat_complete(client, PIXTRAL_MODEL, messages)
|
| 291 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 292 |
|
| 293 |
def process_media(src: str, custom_prompt: str, api_key: str, progress=gr.Progress()) -> str:
|
| 294 |
client = get_client(api_key)
|
| 295 |
prompt = (custom_prompt or "").strip() or "Please provide a detailed visual review."
|
| 296 |
+
if not src:
|
| 297 |
+
return "No URL or path provided."
|
| 298 |
progress(0.05, desc="Determining media type")
|
| 299 |
is_image, is_video = determine_media_type(src)
|
| 300 |
+
|
| 301 |
if is_image:
|
| 302 |
try:
|
| 303 |
raw = fetch_bytes(src)
|
|
|
|
| 310 |
return "Error: provided file is not a valid image."
|
| 311 |
except Exception as e:
|
| 312 |
return f"Error analyzing image: {e}"
|
| 313 |
+
|
| 314 |
if is_video:
|
| 315 |
try:
|
| 316 |
raw = fetch_bytes(src, timeout=120)
|
|
|
|
| 321 |
progress(0.2, desc="Analyzing video")
|
| 322 |
return analyze_video_cohesive(client, tmp_path, prompt)
|
| 323 |
finally:
|
| 324 |
+
try:
|
| 325 |
+
os.remove(tmp_path)
|
| 326 |
+
except Exception:
|
| 327 |
+
pass
|
| 328 |
+
|
| 329 |
+
# Fallback: treat as image
|
| 330 |
try:
|
| 331 |
raw = fetch_bytes(src)
|
| 332 |
progress(0.2, desc="Treating as image")
|
|
|
|
| 334 |
except Exception as e:
|
| 335 |
return f"Unable to determine media type or fetch file: {e}"
|
| 336 |
|
| 337 |
+
|
| 338 |
+
# ------------------- Gradio UI -------------------
|
| 339 |
css = ".preview_media img, .preview_media video { max-width: 100%; height: auto; border-radius:6px; }"
|
| 340 |
|
| 341 |
def _btn_label_for_status(status: str) -> str:
|
| 342 |
+
return {"idle": "Submit", "busy": "Processing…", "done": "Submit", "error": "Retry"}.get(status, "Submit")
|
| 343 |
|
| 344 |
def create_demo():
|
| 345 |
with gr.Blocks(title="Flux Multimodal", css=css) as demo:
|
|
|
|
| 347 |
with gr.Column(scale=1):
|
| 348 |
preview_image = gr.Image(label="Preview Image", type="pil", elem_classes="preview_media", visible=False)
|
| 349 |
preview_video = gr.Video(label="Preview Video", elem_classes="preview_media", visible=False)
|
|
|
|
| 350 |
with gr.Column(scale=2):
|
| 351 |
url_input = gr.Textbox(label="Image / Video URL or local path", placeholder="https://... or /path/to/file", lines=1)
|
| 352 |
with gr.Accordion("Prompt (optional)", open=False):
|
| 353 |
custom_prompt = gr.Textbox(label="Prompt", lines=4, value="")
|
| 354 |
with gr.Accordion("Mistral API Key (optional)", open=False):
|
| 355 |
api_key = gr.Textbox(label="API Key", type="password", max_lines=1)
|
| 356 |
+
with gr.Row():
|
| 357 |
+
submit_btn = gr.Button(_btn_label_for_status("idle"))
|
| 358 |
+
clear_btn = gr.Button("Clear")
|
| 359 |
output_md = gr.Markdown("")
|
| 360 |
status_state = gr.State("idle")
|
| 361 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 362 |
def load_preview(url: str):
|
| 363 |
empty_img = gr.update(value=None, visible=False)
|
| 364 |
empty_vid = gr.update(value=None, visible=False)
|
| 365 |
+
if not url:
|
| 366 |
+
return empty_img, empty_vid, gr.update(visible=False)
|
| 367 |
if not is_remote(url) and os.path.exists(url):
|
| 368 |
ext = ext_from_src(url)
|
| 369 |
+
if ext in VIDEO_EXTS:
|
| 370 |
+
return empty_img, gr.update(value=os.path.abspath(url), visible=True), gr.update(visible=True)
|
| 371 |
if ext in IMAGE_EXTS:
|
| 372 |
try:
|
| 373 |
img = Image.open(url)
|
| 374 |
+
if getattr(img, "is_animated", False):
|
| 375 |
+
img.seek(0)
|
| 376 |
+
return gr.update(value=img.convert("RGB"), visible=True), empty_vid, gr.update(visible=False)
|
| 377 |
+
except Exception:
|
| 378 |
+
return empty_img, empty_vid, gr.update(visible=False)
|
| 379 |
head = safe_head(url)
|
| 380 |
if head:
|
| 381 |
ctype = (head.headers.get("content-type") or "").lower()
|
|
|
|
| 384 |
try:
|
| 385 |
r = safe_get(url, timeout=15)
|
| 386 |
img = Image.open(BytesIO(r.content))
|
| 387 |
+
if getattr(img, "is_animated", False):
|
| 388 |
+
img.seek(0)
|
| 389 |
+
return gr.update(value=img.convert("RGB"), visible=True), empty_vid, gr.update(visible=False)
|
| 390 |
except Exception:
|
| 391 |
+
return empty_img, empty_vid, gr.update(visible=False)
|
| 392 |
|
| 393 |
+
url_input.change(fn=load_preview, inputs=[url_input],
|
| 394 |
+
outputs=[preview_image, preview_video, preview_video])
|
| 395 |
|
| 396 |
def clear_all():
|
| 397 |
return "", gr.update(value=None, visible=False), gr.update(value=None, visible=False), "idle", gr.update(value=_btn_label_for_status("idle"))
|
| 398 |
clear_btn.click(fn=clear_all, inputs=[], outputs=[url_input, preview_image, preview_video, status_state, submit_btn])
|
| 399 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 400 |
def start_busy():
|
| 401 |
s = "busy"
|
| 402 |
return s, gr.update(value=_btn_label_for_status(s))
|
|
|
|
| 404 |
|
| 405 |
def worker(url: str, prompt: str, key: str, progress=gr.Progress()):
|
| 406 |
return process_media(url or "", prompt or "", key or "", progress=progress)
|
| 407 |
+
|
| 408 |
+
submit_btn.click(fn=worker, inputs=[url_input, custom_prompt, api_key],
|
| 409 |
+
outputs=[output_md], queue=True).then(
|
| 410 |
fn=lambda res: ("error", "**Error:** no result returned.") if not res else
|
| 411 |
("error", f"**Error:** {res}") if isinstance(res, str) and res.lower().startswith("error") else ("done", res),
|
| 412 |
inputs=[output_md],
|