a bunch of stuff?

build/lib/server/blog.py

@@ -0,0 +1,306 @@
+from shiny import reactive, render, ui
+import os, sys
+from bs4 import BeautifulSoup
+from pytrends.request import TrendReq
+from playwright.async_api import async_playwright
+import requests
+import re, ast
+import time
+
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "code")))
+from llm_connect import get_response
+
+from dotenv import load_dotenv
+load_dotenv()
+
+SHOPIFY_STORE = "ultima-supply.myshopify.com"
+SHOPIFY_TOKEN = os.getenv("SHOPIFY_TOKEN")
+SHOPIFY_API_VERSION = "2024-04"
+BLOG_ID = "73667707064"
+
+# === Async JS-rendered scraping ===
+async def scrape_div_content_from_url(url: str) -> str:
+    try:
+        async with async_playwright() as p:
+            browser = await p.chromium.launch(headless=True)
+            page = await browser.new_page()
+            await page.goto(url, wait_until="networkidle")
+            html = await page.content()
+            await browser.close()
+
+        soup = BeautifulSoup(html, "html.parser")
+        divs = soup.find_all("div", class_="article-body")
+        if not divs:
+            print("[WARN] No <div class='article-body'> found.")
+            return ""
+
+        texts = [div.get_text(separator=" ", strip=True) for div in divs]
+        return "\n\n".join(texts)
+    except Exception as e:
+        print(f"[ERROR] Failed to render or scrape: {e}")
+        return ""
+
+# === Async keyword + scrape + fallback logic ===
+async def get_keywords_and_content(url: str, top_n=5, llm_n=25):
+    scraped_text = await scrape_div_content_from_url(url)
+    if not scraped_text:
+        print("[ERROR] No scraped content. Cannot proceed.")
+        return [], ""
+
+    # === Step 1: Extract condensed topic keywords ===
+    try:
+        condensed_prompt = (
+            "From the content below, extract 5 to 7 mid-specific Google search phrases that reflect real user intent. "
+            "They should describe product types, use cases, or collector topics — not brand names alone. "
+            "Avoid single-word topics and overly broad terms like 'pokemon'. Each phrase should be 2–5 words, lowercase, and ASCII only.\n\n"
+            "You MUST return ONLY a valid Python list of strings. Do not use bullet points, newlines, or any explanation. "
+            "Your response must look exactly like this format:\n"
+            "['phrase one', 'phrase two', 'phrase three']\n\n"
+            f"Content:\n{scraped_text}"
+        )
+
+        condensed_topic_raw = get_response(
+            input=condensed_prompt,
+            template=lambda x: x.strip(),
+            llm="gemini",
+            md=False,
+            temperature=0.6,
+            max_tokens=100,
+            model_name="gemini-2.0-flash-lite"
+        )
+        print(condensed_topic_raw)
+
+        match = re.search(r"\[.*?\]", condensed_topic_raw, re.DOTALL)
+        condensed_topic = ast.literal_eval(match.group(0)) if match else []
+        if not condensed_topic:
+            condensed_topic = ["trading cards"]
+
+        print(f"[INFO] Condensed topic keywords: {condensed_topic}")
+    except Exception as e:
+        print(f"[WARN] Could not infer topics: {e}")
+        condensed_topic = ["trading cards"]
+
+    # === Step 2: Pull suggestions from PyTrends ===
+    all_suggestions = set()
+    try:
+        pytrends = TrendReq(hl="en-US", tz=360, timeout=10)
+        for topic in condensed_topic:
+            time.sleep(5)
+            suggestions = pytrends.suggestions(keyword=topic)
+            if suggestions:
+                titles = [s["title"] for s in suggestions]
+                all_suggestions.update(titles)
+                print(f"[INFO] Suggestions for '{topic}': {titles[:3]}")
+    except Exception as e:
+        print(f"[WARN] PyTrends suggestions failed: {e}")
+
+    all_suggestions = list(all_suggestions)
+
+    # === Step 3: Let Gemini filter suggestions for relevance ===
+    filtered_keywords = []
+    if all_suggestions:
+        filter_prompt = (
+            f"The following article was scraped:\n\n{scraped_text[:1500]}\n\n"
+            f"Here is a list of keyword suggestions:\n{all_suggestions}\n\n"
+            "Return only the keywords that are clearly relevant to the article topic. "
+            "Return a valid Python list of strings only. No explanation, bullets, or formatting."
+        )
+
+        raw_filtered = get_response(
+            input=filter_prompt,
+            template=lambda x: x.strip(),
+            llm="gemini",
+            md=False,
+            temperature=0.3,
+            max_tokens=200
+        )
+
+        match = re.search(r"\[.*?\]", raw_filtered)
+        if match:
+            try:
+                filtered_keywords = ast.literal_eval(match.group(0))
+            except:
+                filtered_keywords = []
+
+    # === Step 4: Fallback to Gemini keyword generation if needed ===
+    if not filtered_keywords:
+        fallback_prompt = (
+            f"You are an SEO expert. Generate {llm_n} niche-relevant SEO keywords "
+            f"based on this content:\n\n{scraped_text}\n\n"
+            "Return a comma-separated list of lowercase 2–5 word search phrases. No formatting."
+        )
+        fallback_keywords_raw = get_response(
+            input=fallback_prompt,
+            template=lambda x: x.strip(),
+            llm="gemini",
+            md=False,
+            temperature=0.7,
+            max_tokens=400
+        )
+        filtered_keywords = [kw.strip() for kw in fallback_keywords_raw.split(",") if kw.strip()]
+        print(f"[INFO] Fallback keywords used: {filtered_keywords[:top_n]}")
+
+    # === Step 5: Enforce minimum of 30 keywords ===
+    combined_keywords = list(dict.fromkeys(filtered_keywords))  # remove duplicates
+    if len(combined_keywords) < 30:
+        needed = 30 - len(combined_keywords)
+        print(f"[INFO] Need {needed} more keywords to reach 30. Using Gemini to pad.")
+
+        pad_prompt = (
+            f"The following article content is missing SEO keyword coverage:\n\n"
+            f"{scraped_text}\n\n"
+            f"Generate exactly {needed} additional SEO keyword phrases. "
+            "Each keyword must be:\n"
+            "- 2 to 5 words long\n"
+            "- lowercase only\n"
+            "- written in ASCII (no symbols or accents)\n"
+            "- clearly relevant to the article\n"
+            "- not overlapping with any common generic terms like 'pokemon'\n\n"
+            "You MUST return a valid Python list of strings. DO NOT include any explanation, extra text, markdown, or formatting.\n"
+            "Format example:\n"
+            "['keyword one', 'keyword two', 'keyword three']"
+        )
+
+
+        pad_raw = get_response(
+            input=pad_prompt,
+            template=lambda x: x.strip(),
+            llm="gemini",
+            md=False,
+            temperature=0.7,
+            max_tokens=200
+        )
+
+        pad_keywords = []
+
+        pad_match = re.search(r"\[[^\]]+\]", pad_raw)  # greedy, non-linebreaking
+        if pad_match:
+            try:
+                pad_keywords = ast.literal_eval(pad_match.group(0))
+            except Exception as e:
+                print(f"[WARN] ast.literal_eval failed: {e}")
+                pad_keywords = []
+
+        combined_keywords = list(dict.fromkeys(combined_keywords + pad_keywords))
+        print(f"[INFO] Padded {len(pad_keywords)} keywords:", pad_keywords)
+
+
+    return combined_keywords[:30], scraped_text
+
+
+
+# === Shopify publisher ===
+def publish_blog_post(title: str, html_body: str, blog_id: str = BLOG_ID):
+    url = f"https://{SHOPIFY_STORE}/admin/api/{SHOPIFY_API_VERSION}/blogs/{blog_id}/articles.json"
+    headers = {
+        "X-Shopify-Access-Token": SHOPIFY_TOKEN,
+        "Content-Type": "application/json"
+    }
+    data = {
+        "article": {
+            "title": title,
+            "body_html": html_body
+        }
+    }
+
+    response = requests.post(url, json=data, headers=headers)
+    if response.status_code == 201:
+        return True, response.json()
+    else:
+        return False, response.text
+
+# === SHINY SERVER ===
+def server(input, output, session):
+    related_keywords = reactive.Value([])
+    generated_blog = reactive.Value(("", ""))  # (title, html_content)
+
+    @output
+    @render.ui
+    @reactive.event(input.generate_btn)
+    async def blog_result():
+        url = input.url()
+        if not url:
+            return ui.HTML("<p><strong>⚠️ Please enter a URL.</strong></p>")
+
+        keywords, scraped = await get_keywords_and_content(url)
+        related_keywords.set(keywords)
+        keyword_str = ", ".join(keywords)
+
+        # Title generation from scraped text
+        infer_topic_prompt = (
+            f"Based on the following article content:\n\n{scraped[:2000]}\n\n"
+            f"Return a short, descriptive blog post title (max 70 characters)."
+            f"Return ONLY the TITLE"
+        )
+        seo_title = get_response(
+            input=infer_topic_prompt,
+            template=lambda x: x.strip().replace('"', ''),
+            llm="gemini",
+            md=False,
+            temperature=0.5,
+            max_tokens=20
+        )
+
+        # Blog generation with injected SEO
+        prompt = (
+            f"You are a content writer for a collectibles brand called 'Ultima Supply'.\n"
+            f"Given the following scraped content:\n\n{scraped}\n\n"
+            f"Adapt this into an engaging, original, and heavily detailed SEO-optimized blog post.\n"
+            f"Inject the following SEO keywords naturally and organically throughout the content:\n{keyword_str}\n\n"
+            f"Use proper HTML structure: <h1> for the title, <h2> for section headers, and <p> for all paragraphs.\n"
+            f"Do NOT include any markdown, code blocks, or triple backticks. Do NOT use ```html or any formatting fences.\n"
+            f"Just return the raw HTML.\n\n"
+            f"DO NOT include any hyperlinks or images inside the body of the blog post.\n"
+            f"At the very end, add a single call-to-action in a new <p> tag:\n"
+            f"Visit <a href='https://ultima-supply.myshopify.com'>Ultima Supply</a> to explore more collectibles."
+        )
+
+        blog_html = get_response(
+            input=prompt,
+            template=lambda x: x.strip(),
+            llm="gemini",
+            md=False,
+            temperature=0.9,
+            max_tokens=5000
+        )
+
+        blog_html = re.sub(r"```[a-zA-Z]*\n?", "", blog_html).strip()
+        blog_html = blog_html.replace("```", "").strip()
+
+
+        generated_blog.set((seo_title, blog_html))
+
+        return ui.HTML(
+            f"<p><strong>✅ Blog generated with title:</strong> {seo_title}</p>"
+            f"<p>Click 'Post to Shopify' to publish.</p>{blog_html}"
+        )
+
+    @output
+    @render.ui
+    def keywords_used():
+        kws = related_keywords()
+        if not kws:
+            return ui.HTML("<p><strong>No SEO keywords retrieved yet.</strong></p>")
+
+        return ui.HTML(
+            f"<p><strong>✅ SEO Keywords Injected ({len(kws)}):</strong></p><ul>"
+            + "".join(f"<li>{kw}</li>" for kw in kws) +
+            "</ul>"
+        )
+
+
+    @reactive.effect
+    @reactive.event(input.post_btn)
+    def post_to_shopify():
+        seo_title, html = generated_blog()
+
+        if not html:
+            ui.notification_show("⚠️ No blog generated yet.", type="warning")
+            return
+
+        success, response = publish_blog_post(title=seo_title, html_body=html)
+
+        if success:
+            ui.notification_show("✅ Blog posted to Shopify successfully!", type="message")
+        else:
+            ui.notification_show(f"❌ Failed to publish: {response}", type="error")

build/lib/server/meta.py

@@ -0,0 +1,70 @@
+from shiny import reactive, render, ui
+import os
+import requests
+from dotenv import load_dotenv
+from llm_connect import get_response  # your existing function
+
+load_dotenv()
+
+PAGE_ID = os.getenv("FB_PAGE_ID")
+ACCESS_TOKEN = os.getenv("FB_PAGE_ACCESS_TOKEN")
+
+generated_fb_post = reactive.Value("")
+
+def generate_facebook_post(topic: str) -> str:
+    prompt = (
+        f"You are a social media manager for a hobby e-commerce company called 'Ultima Supply'.\n"
+        f"Write a short, engaging Facebook post (max 500 characters) about: '{topic}'.\n"
+        f"Use casual and friendly tone. Include emojis and 3-5 relevant hashtags."
+    )
+    return get_response(
+        input=prompt,
+        template=lambda x: x,
+        llm="gemini",
+        md=False,
+        temperature=0.9,
+        max_tokens=500
+    )
+
+def post_to_facebook(message: str) -> str:
+    url = f"https://graph.facebook.com/{PAGE_ID}/feed"
+    payload = {
+        "message": message,
+        "access_token": ACCESS_TOKEN
+    }
+
+    response = requests.post(url, data=payload)
+    if response.status_code != 200:
+        return f"❌ Facebook post failed: {response.status_code} - {response.text}"
+    
+    post_id = response.json().get("id", "Unknown")
+    return f"✅ Post successful! Facebook Post ID: {post_id}"
+
+def server(input, output, session):
+    post_status = reactive.Value("")
+
+    @output
+    @render.ui
+    @reactive.event(input.gen_btn_fb)
+    def fb_post_draft():
+        topic = input.fb_topic()
+        if not topic.strip():
+            return ui.HTML("<p><strong>⚠️ Enter a topic first.</strong></p>")
+        post = generate_facebook_post(topic)
+        generated_fb_post.set(post)
+        return ui.HTML(f"<p><strong>Generated Facebook Post:</strong><br>{post}</p>")
+
+    @output
+    @render.text
+    def fb_post_status():
+        return post_status()
+
+    @reactive.effect
+    @reactive.event(input.post_btn_fb)
+    def _():
+        post = generated_fb_post()
+        if not post:
+            post_status.set("⚠️ No post generated yet.")
+        else:
+            result = post_to_facebook(post)
+            post_status.set(result)

build/lib/server/twitter.py

@@ -0,0 +1,75 @@
+from shiny import reactive, render, ui
+import os
+import tweepy
+from dotenv import load_dotenv
+from llm_connect import get_response  # your existing function
+
+load_dotenv()
+
+# Twitter API v2 credentials
+BEARER_TOKEN = os.getenv("TWITTER_BEARER_TOKEN")
+API_KEY = os.getenv("TWITTER_ACC_API_KEY")
+API_SECRET = os.getenv("TWITTER_ACC_API_SECRET")
+ACCESS_TOKEN = os.getenv("TWITTER_ACC_ACCESS_TOKEN")
+ACCESS_TOKEN_SECRET = os.getenv("TWITTER_ACC_ACCESS_TOKEN_SECRET")
+
+client = tweepy.Client(
+    bearer_token=BEARER_TOKEN,
+    consumer_key=API_KEY,
+    consumer_secret=API_SECRET,
+    access_token=ACCESS_TOKEN,
+    access_token_secret=ACCESS_TOKEN_SECRET
+)
+
+generated_tweet = reactive.Value("")
+
+def generate_tweet_from_topic(topic: str) -> str:
+    prompt = (
+        f"You are a social media manager for a hobby e-commerce company called 'Ultima Supply'.\n"
+        f"Write a short, engaging Twitter post (max 500 characters) about: '{topic}'.\n"
+        f"Include emojis or 3-5 SEO relevant hashtags. Use casual, fun language."
+    )
+    return get_response(
+        input=prompt,
+        template=lambda x: x,
+        llm='gemini',
+        md=False,
+        temperature=0.9,
+        max_tokens=500
+    )
+
+def post_tweet(text: str) -> str:
+    try:
+        response = client.create_tweet(text=text)
+        return f"✅ Tweet posted (ID: {response.data['id']})"
+    except Exception as e:
+        return f"❌ Failed to post tweet: {e}"
+
+def server(input, output, session):
+    post_status = reactive.Value("")
+
+    @output
+    @render.ui
+    @reactive.event(input.gen_btn_twt)
+    def tweet_draft():
+        topic = input.tweet_topic()
+        if not topic.strip():
+            return ui.HTML("<p><strong>⚠️ Enter a topic first.</strong></p>")
+        tweet = generate_tweet_from_topic(topic)
+        generated_tweet.set(tweet)
+        return ui.HTML(f"<p><strong>Generated Tweet:</strong><br>{tweet}</p>")
+
+    @output
+    @render.text
+    def tweet_post_status():
+        return post_status()
+
+    @reactive.effect
+    @reactive.event(input.post_btn_twt)
+    def _():
+        tweet = generated_tweet()
+        if not tweet:
+            post_status.set("⚠️ No tweet generated yet.")
+        else:
+            result = post_tweet(tweet)
+            post_status.set(result)

pyproject.toml

@@ -25,3 +25,6 @@ dependencies = [
     "bs4>=0.0.2",
     "playwright>=1.53.0",
 ]
+
+[tool.setuptools]
+packages = ["server"]

requirements.txt

@@ -1,202 +1,35 @@
 aiofiles==23.2.1
-alembic @ file:///home/conda/feedstock_root/build_artifacts/alembic_1727122811080/work
-altair @ file:///home/conda/feedstock_root/build_artifacts/altair-split_1727892028500/work
-annotated-types @ file:///home/conda/feedstock_root/build_artifacts/annotated-types_1716290248287/work
-anyio @ file:///home/conda/feedstock_root/build_artifacts/anyio_1728935693959/work
 anywidget==0.9.13
 appdirs==1.4.4
-archspec @ file:///home/conda/feedstock_root/build_artifacts/archspec_1708969572489/work
-argon2-cffi @ file:///home/conda/feedstock_root/build_artifacts/argon2-cffi_1692818318753/work
-argon2-cffi-bindings @ file:///home/conda/feedstock_root/build_artifacts/argon2-cffi-bindings_1725356585055/work
-arrow @ file:///home/conda/feedstock_root/build_artifacts/arrow_1696128962909/work
 asgiref==3.8.1
-astor @ file:///home/conda/feedstock_root/build_artifacts/astor_1733838630785/work
-asttokens @ file:///home/conda/feedstock_root/build_artifacts/asttokens_1698341106958/work
-async-lru @ file:///home/conda/feedstock_root/build_artifacts/async-lru_1690563019058/work
-async_generator @ file:///home/conda/feedstock_root/build_artifacts/async_generator_1722652753231/work
-attrs @ file:///home/conda/feedstock_root/build_artifacts/attrs_1722977137225/work
-awscli @ file:///home/conda/feedstock_root/build_artifacts/awscli_1739865871727/work
-Babel @ file:///home/conda/feedstock_root/build_artifacts/babel_1702422572539/work
 backoff==2.2.1
-bash_kernel @ file:///home/conda/feedstock_root/build_artifacts/bash_kernel_1736166576131/work
-beautifulsoup4 @ file:///home/conda/feedstock_root/build_artifacts/beautifulsoup4_1705564648255/work
-black @ file:///home/conda/feedstock_root/build_artifacts/black-recipe_1738616016765/work
-bleach @ file:///home/conda/feedstock_root/build_artifacts/bleach_1696630167146/work
-blinker @ file:///home/conda/feedstock_root/build_artifacts/blinker_1715091184126/work
-blis @ file:///home/conda/feedstock_root/build_artifacts/cython-blis_1729663829405/work
-bokeh @ file:///home/conda/feedstock_root/build_artifacts/bokeh_1728932480540/work
-boltons @ file:///home/conda/feedstock_root/build_artifacts/boltons_1711936407380/work
-botocore @ file:///home/conda/feedstock_root/build_artifacts/botocore_1739845302597/work
-Bottleneck @ file:///home/conda/feedstock_root/build_artifacts/bottleneck_1729268868751/work
-Brotli @ file:///home/conda/feedstock_root/build_artifacts/brotli-split_1725267488082/work
-cached-property @ file:///home/conda/feedstock_root/build_artifacts/cached_property_1615209429212/work
-cachetools @ file:///home/conda/feedstock_root/build_artifacts/cachetools_1737517575301/work
-catalogue @ file:///home/conda/feedstock_root/build_artifacts/catalogue_1736092420971/work
 causal-learn==0.1.4.0
-certifi @ file:///home/conda/feedstock_root/build_artifacts/certifi_1739515848642/work/certifi
-certipy @ file:///home/conda/feedstock_root/build_artifacts/certipy_1726467183730/work
-cffi @ file:///home/conda/feedstock_root/build_artifacts/cffi_1725560558132/work
-charset-normalizer @ file:///home/conda/feedstock_root/build_artifacts/charset-normalizer_1728479282467/work
 clarabel==0.10.0
-click @ file:///home/conda/feedstock_root/build_artifacts/click_1692311806742/work
-cloudpathlib @ file:///home/conda/feedstock_root/build_artifacts/cloudpathlib-meta_1729359055183/work
-cloudpickle @ file:///home/conda/feedstock_root/build_artifacts/cloudpickle_1729059237860/work
-colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1666700638685/work
-comm @ file:///home/conda/feedstock_root/build_artifacts/comm_1710320294760/work
-conda @ file:///home/conda/feedstock_root/build_artifacts/conda_1738241127085/work
-conda-libmamba-solver @ file:///home/conda/feedstock_root/build_artifacts/conda-libmamba-solver_1737800978214/work/src
-conda-package-handling @ file:///home/conda/feedstock_root/build_artifacts/conda-package-handling_1729006966809/work
-conda_package_streaming @ file:///home/conda/feedstock_root/build_artifacts/conda-package-streaming_1729004031731/work
-confection @ file:///home/conda/feedstock_root/build_artifacts/confection_1701179097401/work
 connectorx==0.3.3
-contourpy @ file:///home/conda/feedstock_root/build_artifacts/contourpy_1727293529029/work
-cryptography @ file:///home/conda/feedstock_root/build_artifacts/cryptography-split_1729286672586/work
 cvxpy==1.6.0
-cycler @ file:///home/conda/feedstock_root/build_artifacts/cycler_1696677705766/work
-cymem @ file:///home/conda/feedstock_root/build_artifacts/cymem_1737125888380/work
 Cython==0.29.37
-cytoolz @ file:///home/conda/feedstock_root/build_artifacts/cytoolz_1728335000602/work
-dask @ file:///home/conda/feedstock_root/build_artifacts/dask-core_1729174050417/work
-dask-expr @ file:///home/conda/feedstock_root/build_artifacts/dask-expr_1729200954651/work
-debugpy @ file:///home/conda/feedstock_root/build_artifacts/debugpy_1728594098955/work
-decorator @ file:///home/conda/feedstock_root/build_artifacts/decorator_1641555617451/work
-defusedxml @ file:///home/conda/feedstock_root/build_artifacts/defusedxml_1615232257335/work
-dill @ file:///home/conda/feedstock_root/build_artifacts/dill_1727594984357/work
-distributed @ file:///home/conda/feedstock_root/build_artifacts/distributed_1729197350190/work
-distro @ file:///home/conda/feedstock_root/build_artifacts/distro_1704321475663/work
-docutils @ file:///home/conda/feedstock_root/build_artifacts/docutils_1728488675683/work
 dowhy==0.12
-duckdb @ file:///home/conda/feedstock_root/build_artifacts/python-duckdb-split_1739479592999/work/tools/pythonpkg
-duckdb_engine @ file:///home/conda/feedstock_root/build_artifacts/duckdb-engine_1737017790760/work
 econml==0.15.1
-entrypoints @ file:///home/conda/feedstock_root/build_artifacts/entrypoints_1643888246732/work
-et_xmlfile @ file:///home/conda/feedstock_root/build_artifacts/et_xmlfile_1729892939528/work
-exceptiongroup @ file:///home/conda/feedstock_root/build_artifacts/exceptiongroup_1720869315914/work
-executing @ file:///home/conda/feedstock_root/build_artifacts/executing_1725214404607/work
 faicons==0.2.2
 fastapi==0.115.8
 fastexcel==0.12.1
-fastjsonschema @ file:///home/conda/feedstock_root/build_artifacts/python-fastjsonschema_1718477020893/work/dist
 ffmpy==0.5.0
 filelock==3.17.0
-filetype @ file:///home/conda/feedstock_root/build_artifacts/filetype_1667445778563/work
-findspark @ file:///home/conda/feedstock_root/build_artifacts/findspark_1735921127722/work
-fonttools @ file:///home/conda/feedstock_root/build_artifacts/fonttools_1729530372367/work
-formulaic @ file:///home/conda/feedstock_root/build_artifacts/formulaic_1734816457952/work
-fqdn @ file:///home/conda/feedstock_root/build_artifacts/fqdn_1638810296540/work/dist
-frozendict @ file:///home/conda/feedstock_root/build_artifacts/frozendict_1728841327252/work
-fsspec @ file:///home/conda/feedstock_root/build_artifacts/fsspec_1729608855534/work
-fst-pso @ file:///home/conda/feedstock_root/build_artifacts/fst-pso_1674508369029/work
-funcy @ file:///home/conda/feedstock_root/build_artifacts/funcy_1734381131891/work
-future @ file:///home/conda/feedstock_root/build_artifacts/future_1738926421307/work
-FuzzyTM @ file:///home/conda/feedstock_root/build_artifacts/fuzzytm_1674510610147/work
-gensim @ file:///home/conda/feedstock_root/build_artifacts/gensim_1707360327203/work
-gitdb @ file:///home/conda/feedstock_root/build_artifacts/gitdb_1697791558612/work
-GitPython @ file:///home/conda/feedstock_root/build_artifacts/gitpython_1711991025291/work
-gmpy2 @ file:///home/conda/feedstock_root/build_artifacts/gmpy2_1725379832114/work
-googleapis-common-protos @ file:///home/conda/feedstock_root/build_artifacts/googleapis-common-protos-feedstock_1724834223554/work
 gradio==5.16.1
 gradio_client==1.7.0
-graphlib-backport @ file:///home/conda/feedstock_root/build_artifacts/graphlib-backport_1635566048409/work
 graphviz==0.20.3
-greenlet @ file:///home/conda/feedstock_root/build_artifacts/greenlet_1726922184666/work
-grpcio @ file:///home/conda/feedstock_root/build_artifacts/grpc-split_1730233386122/work
-grpcio-status @ file:///home/conda/feedstock_root/build_artifacts/grpcio-status_1727244689671/work
-h11 @ file:///home/conda/feedstock_root/build_artifacts/h11_1664132893548/work
-h2 @ file:///home/conda/feedstock_root/build_artifacts/h2_1634280454336/work
-h5py @ file:///home/conda/feedstock_root/build_artifacts/h5py_1729617657254/work
 hpack==4.0.0
 htmltools==0.6.0
-httpcore @ file:///home/conda/feedstock_root/build_artifacts/httpcore_1727820890233/work
-httpx @ file:///home/conda/feedstock_root/build_artifacts/httpx_1724778349782/work
 huggingface-hub==0.28.1
-hyperframe @ file:///home/conda/feedstock_root/build_artifacts/hyperframe_1619110129307/work
-idna @ file:///home/conda/feedstock_root/build_artifacts/idna_1726459485162/work
-imagecodecs @ file:///home/conda/feedstock_root/build_artifacts/imagecodecs_1734411441407/work
-imageio @ file:///home/conda/feedstock_root/build_artifacts/imageio_1729190692267/work
-importlib_metadata @ file:///home/conda/feedstock_root/build_artifacts/importlib-metadata_1726082825846/work
-importlib_resources @ file:///home/conda/feedstock_root/build_artifacts/importlib_resources_1725921340658/work
-interface_meta @ file:///home/conda/feedstock_root/build_artifacts/interface_meta_1734284382083/work
-ipykernel @ file:///home/conda/feedstock_root/build_artifacts/ipykernel_1719845459717/work
-ipympl @ file:///home/conda/feedstock_root/build_artifacts/ipympl_1713251546026/work
-ipython @ file:///home/conda/feedstock_root/build_artifacts/ipython_1729866374957/work
-ipython-sql @ file:///home/conda/feedstock_root/build_artifacts/ipython-sql_1636816912182/work
-ipython_genutils @ file:///home/conda/feedstock_root/build_artifacts/ipython_genutils_1716278396992/work
-ipywidgets @ file:///home/conda/feedstock_root/build_artifacts/ipywidgets_1724334859652/work
-isoduration @ file:///home/conda/feedstock_root/build_artifacts/isoduration_1638811571363/work/dist
-isort @ file:///home/conda/feedstock_root/build_artifacts/isort_1738061237894/work
-jedi @ file:///home/conda/feedstock_root/build_artifacts/jedi_1696326070614/work
-Jinja2 @ file:///home/conda/feedstock_root/build_artifacts/jinja2_1715127149914/work
-jmespath @ file:///home/conda/feedstock_root/build_artifacts/jmespath_1733229141657/work
-joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1714665484399/work
-json5 @ file:///home/conda/feedstock_root/build_artifacts/json5_1712986206667/work
-jsonpatch @ file:///home/conda/feedstock_root/build_artifacts/jsonpatch_1695536281965/work
-jsonpointer @ file:///home/conda/feedstock_root/build_artifacts/jsonpointer_1725302935093/work
-jsonschema @ file:///home/conda/feedstock_root/build_artifacts/jsonschema_1720529478715/work
-jsonschema-specifications @ file:///tmp/tmpvslgxhz5/src
 jupysql==0.10.17
 jupysql-plugin==0.4.5
-jupyter-events @ file:///home/conda/feedstock_root/build_artifacts/jupyter_events_1710805637316/work
-jupyter-lsp @ file:///home/conda/feedstock_root/build_artifacts/jupyter-lsp-meta_1712707420468/work/jupyter-lsp
-jupyter-server-mathjax @ file:///home/conda/feedstock_root/build_artifacts/jupyter-server-mathjax_1672324512570/work
-jupyter_client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1726610684920/work
-jupyter_core @ file:///home/conda/feedstock_root/build_artifacts/jupyter_core_1727163409502/work
-jupyter_server @ file:///home/conda/feedstock_root/build_artifacts/jupyter_server_1720816649297/work
-jupyter_server_terminals @ file:///home/conda/feedstock_root/build_artifacts/jupyter_server_terminals_1710262634903/work
-jupyterhub @ file:///home/conda/feedstock_root/build_artifacts/jupyterhub-feedstock_1729524405642/work
-jupyterlab @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_1724745148804/work
-jupyterlab_git @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab-git_1720358782306/work
-jupyterlab_pygments @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_pygments_1707149102966/work
-jupyterlab_server @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_server-split_1721163288448/work
-jupyterlab_widgets @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_widgets_1724331334887/work
-jupytext @ file:///home/conda/feedstock_root/build_artifacts/jupytext_1739264996936/work
-kiwisolver @ file:///home/conda/feedstock_root/build_artifacts/kiwisolver_1725459266942/work
-langcodes @ file:///home/conda/feedstock_root/build_artifacts/langcodes_1734376437639/work
-language_data @ file:///home/conda/feedstock_root/build_artifacts/language-data_1732032415021/work
-lazy_loader @ file:///home/conda/feedstock_root/build_artifacts/lazy-loader_1723774329602/work
-libmambapy @ file:///home/conda/feedstock_root/build_artifacts/mamba-split_1730842684690/work/libmambapy
-lightgbm @ file:///home/conda/feedstock_root/build_artifacts/liblightgbm_1737912911005/work
-lime @ file:///home/conda/feedstock_root/build_artifacts/lime_1734777765833/work
-linearmodels @ file:///home/conda/feedstock_root/build_artifacts/linearmodels_1727187098966/work
 linkify-it-py==2.0.3
 llvmlite==0.43.0
-locket @ file:///home/conda/feedstock_root/build_artifacts/locket_1650660393415/work
-lz4 @ file:///home/conda/feedstock_root/build_artifacts/lz4_1733474241180/work
-Mako @ file:///home/conda/feedstock_root/build_artifacts/mako_1715711344987/work
-marisa-trie @ file:///home/conda/feedstock_root/build_artifacts/marisa-trie_1736178990851/work
-Markdown @ file:///home/conda/feedstock_root/build_artifacts/markdown_1710435156458/work
-markdown-it-py @ file:///home/conda/feedstock_root/build_artifacts/markdown-it-py_1733250460757/work
 MarkupSafe==2.1.5
 matplotlib==3.9.2
-matplotlib-inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1713250518406/work
-mdit-py-plugins @ file:///home/conda/feedstock_root/build_artifacts/mdit-py-plugins_1733854715505/work
-mdurl @ file:///home/conda/feedstock_root/build_artifacts/mdurl_1733255585584/work
-menuinst @ file:///home/conda/feedstock_root/build_artifacts/menuinst_1725359038078/work
-miniful @ file:///home/conda/feedstock_root/build_artifacts/miniful_1738578852010/work
-mistune @ file:///home/conda/feedstock_root/build_artifacts/mistune_1698947099619/work
-mizani @ file:///home/conda/feedstock_root/build_artifacts/mizani_1733850081884/work
-mlxtend @ file:///home/conda/feedstock_root/build_artifacts/mlxtend_1737927625693/work
 momentchi2==0.1.8
 monotonic==1.6
-mpmath @ file:///home/conda/feedstock_root/build_artifacts/mpmath_1678228039184/work
-msgpack @ file:///home/conda/feedstock_root/build_artifacts/msgpack-python_1725975016068/work
 munkres==1.1.4
-murmurhash @ file:///home/conda/feedstock_root/build_artifacts/murmurhash_1728932916716/work
-mypy_extensions @ file:///home/conda/feedstock_root/build_artifacts/mypy_extensions_1733230897951/work
-narwhals @ file:///home/conda/feedstock_root/build_artifacts/narwhals_1739851660861/work
-nbclassic @ file:///home/conda/feedstock_root/build_artifacts/nbclassic_1716838762700/work
-nbclient @ file:///home/conda/feedstock_root/build_artifacts/nbclient_1710317608672/work
-nbconvert @ file:///home/conda/feedstock_root/build_artifacts/nbconvert-meta_1718135430380/work
-nbdime @ file:///home/conda/feedstock_root/build_artifacts/nbdime_1725627669057/work
-nbformat @ file:///home/conda/feedstock_root/build_artifacts/nbformat_1712238998817/work
-nest_asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1705850609492/work
-networkx @ file:///home/conda/feedstock_root/build_artifacts/networkx_1729530778722/work
-nltk @ file:///home/conda/feedstock_root/build_artifacts/nltk_1734309924703/work
-notebook @ file:///home/conda/feedstock_root/build_artifacts/notebook_1724861303656/work
-notebook_shim @ file:///home/conda/feedstock_root/build_artifacts/notebook-shim_1707957777232/work
-numba @ file:///home/conda/feedstock_root/build_artifacts/numba_1718888016245/work
-numexpr @ file:///home/conda/feedstock_root/build_artifacts/numexpr_1729662221511/work
-numpy @ file:///home/conda/feedstock_root/build_artifacts/numpy_1707225359967/work/dist/numpy-1.26.4-cp312-cp312-linux_x86_64.whl#sha256=031b7d6b2e5e604d9e21fc21be713ebf28ce133ec872dce6de006742d5e49bab
 nvidia-cublas-cu12==12.6.4.1
 nvidia-cuda-cupti-cu12==12.6.80
 nvidia-cuda-nvrtc-cu12==12.6.77
@@ -210,181 +43,56 @@ nvidia-cusparselt-cu12==0.6.3
 nvidia-nccl-cu12==2.21.5
 nvidia-nvjitlink-cu12==12.6.85
 nvidia-nvtx-cu12==12.6.77
-oauthlib @ file:///home/conda/feedstock_root/build_artifacts/oauthlib_1666056362788/work
-openpyxl @ file:///home/conda/feedstock_root/build_artifacts/openpyxl_1725460884078/work
 orjson==3.10.15
 osqp==0.6.7.post3
-outcome @ file:///home/conda/feedstock_root/build_artifacts/outcome_1733406188332/work
-overrides @ file:///home/conda/feedstock_root/build_artifacts/overrides_1706394519472/work
-packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1718189413536/work
-pamela @ file:///home/conda/feedstock_root/build_artifacts/pamela_1723212587578/work
 pandas==2.2.3
-pandocfilters @ file:///home/conda/feedstock_root/build_artifacts/pandocfilters_1631603243851/work
-parso @ file:///home/conda/feedstock_root/build_artifacts/parso_1712320355065/work
-partd @ file:///home/conda/feedstock_root/build_artifacts/partd_1715026491486/work
-pathspec @ file:///home/conda/feedstock_root/build_artifacts/pathspec_1733233363808/work
-patsy @ file:///home/conda/feedstock_root/build_artifacts/patsy_1704469236901/work
-pexpect @ file:///home/conda/feedstock_root/build_artifacts/pexpect_1706113125309/work
-pickleshare @ file:///home/conda/feedstock_root/build_artifacts/pickleshare_1602536217715/work
-pillow @ file:///home/conda/feedstock_root/build_artifacts/pillow_1729065636207/work
-pkgutil_resolve_name @ file:///home/conda/feedstock_root/build_artifacts/pkgutil-resolve-name_1694617248815/work
-platformdirs @ file:///home/conda/feedstock_root/build_artifacts/platformdirs_1726613481435/work
 ploomber-core==0.2.26
-plotly @ file:///home/conda/feedstock_root/build_artifacts/plotly_1738287743623/work
-plotnine @ file:///home/conda/feedstock_root/build_artifacts/plotnine_1735816953568/work
-pluggy @ file:///home/conda/feedstock_root/build_artifacts/pluggy_1713667077545/work
 polars==1.22.0
 posthog==3.14.1
-preshed @ file:///home/conda/feedstock_root/build_artifacts/preshed_1728945652685/work
-prettytable @ file:///home/conda/feedstock_root/build_artifacts/prettytable_1738401694108/work
-prometheus_client @ file:///home/conda/feedstock_root/build_artifacts/prometheus_client_1726901976720/work
-prompt_toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1727341649933/work
-protobuf @ file:///home/conda/feedstock_root/build_artifacts/protobuf_1728668314281/work/bazel-bin/python/dist/protobuf-5.28.2-cp312-abi3-linux_x86_64.whl#sha256=f103c8b99ca0a96e2feeaa5c5589b37c02b05bd901d908f7825153340c69de0a
-psutil @ file:///home/conda/feedstock_root/build_artifacts/psutil_1729847057810/work
-psycopg2 @ file:///home/conda/feedstock_root/build_artifacts/psycopg2-split_1727892814430/work
 psygnal==0.12.0
-ptyprocess @ file:///home/conda/feedstock_root/build_artifacts/ptyprocess_1609419310487/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
-pure_eval @ file:///home/conda/feedstock_root/build_artifacts/pure_eval_1721585709575/work
-py-cpuinfo @ file:///home/conda/feedstock_root/build_artifacts/py-cpuinfo_1666774466606/work
 py4j==0.10.9.7
 pyarrow==17.0.0
-pyasn1 @ file:///home/conda/feedstock_root/build_artifacts/pyasn1_1733217608156/work
-pycosat @ file:///home/conda/feedstock_root/build_artifacts/pycosat_1696355774225/work
-pycparser @ file:///home/conda/feedstock_root/build_artifacts/pycparser_1711811537435/work
-pycurl @ file:///home/conda/feedstock_root/build_artifacts/pycurl_1725361476421/work
-pydantic @ file:///home/conda/feedstock_root/build_artifacts/pydantic_1726601062926/work
-pydantic_core @ file:///home/conda/feedstock_root/build_artifacts/pydantic-core_1726524971346/work
-pydeck @ file:///home/conda/feedstock_root/build_artifacts/pydeck_1667589451974/work
 pydot==3.0.4
-pydotplus @ file:///home/conda/feedstock_root/build_artifacts/pydotplus_1734535704590/work
 pydub==0.25.1
-pyFUME @ file:///home/conda/feedstock_root/build_artifacts/pyfume_1674509566653/work
-Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1714846767233/work
-pyhdfe @ file:///home/conda/feedstock_root/build_artifacts/pyhdfe_1735397688053/work
-PyJWT @ file:///home/conda/feedstock_root/build_artifacts/pyjwt_1722701264352/work
-pyLDAvis @ file:///home/conda/feedstock_root/build_artifacts/pyldavis_1736887884723/work
-pyparsing @ file:///home/conda/feedstock_root/build_artifacts/pyparsing_1728880423364/work
 pyrsm==1.2.0
-PySocks @ file:///home/conda/feedstock_root/build_artifacts/pysocks_1661604839144/work
 pyspark==4.0.0.dev2
-python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1709299778482/work
-python-dotenv @ file:///home/conda/feedstock_root/build_artifacts/python-dotenv_1733243180666/work
-python-json-logger @ file:///home/conda/feedstock_root/build_artifacts/python-json-logger_1677079630776/work
 python-multipart==0.0.20
-pytz @ file:///home/conda/feedstock_root/build_artifacts/pytz_1706886791323/work
 PyWavelets==1.7.0
-PyYAML @ file:///home/conda/feedstock_root/build_artifacts/pyyaml_1725456134219/work
-pyzmq @ file:///home/conda/feedstock_root/build_artifacts/pyzmq_1728642254015/work
 qdldl==0.1.7.post5
 questionary==2.1.0
 radian==0.6.13
 rchitect==0.4.7
-referencing @ file:///home/conda/feedstock_root/build_artifacts/referencing_1714619483868/work
-regex @ file:///home/conda/feedstock_root/build_artifacts/regex_1730952243530/work
-requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1717057054362/work
-rfc3339-validator @ file:///home/conda/feedstock_root/build_artifacts/rfc3339-validator_1638811747357/work
-rfc3986-validator @ file:///home/conda/feedstock_root/build_artifacts/rfc3986-validator_1598024191506/work
-rich @ file:///home/conda/feedstock_root/build_artifacts/rich_1733342254348/work/dist
-rpds-py @ file:///home/conda/feedstock_root/build_artifacts/rpds-py_1725327050544/work
-rsa @ file:///home/conda/feedstock_root/build_artifacts/rsa_1614171254180/work
-ruamel.yaml @ file:///home/conda/feedstock_root/build_artifacts/ruamel.yaml_1728764986945/work
-ruamel.yaml.clib @ file:///home/conda/feedstock_root/build_artifacts/ruamel.yaml.clib_1728724466132/work
 ruff==0.9.6
-s3transfer @ file:///home/conda/feedstock_root/build_artifacts/s3transfer_1737737761316/work
 safehttpx==0.1.6
 safetensors==0.5.2
-scikit-image @ file:///home/conda/feedstock_root/build_artifacts/scikit-image_1729813832871/work/dist/scikit_image-0.24.0-cp312-cp312-linux_x86_64.whl#sha256=c02226adc1bbc3cff0787d5d2c2ef3ff92d050487b0086107059af19dc29b97d
-scikit-learn @ file:///home/conda/feedstock_root/build_artifacts/scikit-learn_1726082671867/work/dist/scikit_learn-1.5.2-cp312-cp312-linux_x86_64.whl#sha256=7788ecb5f833925f336ead218eb6aff84070ef8d4c6457fe66e41ed104ed2600
-scipy @ file:///home/conda/feedstock_root/build_artifacts/scipy-split_1706041474046/work/dist/scipy-1.12.0-cp312-cp312-linux_x86_64.whl#sha256=455585fb13f602615d4e6633d9becf631347243101f5b6983e5718c2dd364888
 scs==3.2.7.post2
-seaborn @ file:///home/conda/feedstock_root/build_artifacts/seaborn-split_1714494649443/work
-selenium @ file:///home/conda/feedstock_root/build_artifacts/bld/rattler-build_selenium_1737667202/work
 semantic-version==2.10.0
-Send2Trash @ file:///home/conda/feedstock_root/build_artifacts/send2trash_1712584999685/work
 setuptools==75.1.0
 shap==0.43.0
-shellingham @ file:///home/conda/feedstock_root/build_artifacts/shellingham_1733300899265/work
 shiny==1.2.1
 shinyswatch==0.8.0
 shinywidgets==0.5.1
-simpful @ file:///home/conda/feedstock_root/build_artifacts/simpful_1738578860095/work
-simpy @ file:///home/conda/feedstock_root/build_artifacts/simpy_1735073919790/work
-six @ file:///home/conda/feedstock_root/build_artifacts/six_1620240208055/work
 slicer==0.0.7
-smart_open @ file:///home/conda/feedstock_root/build_artifacts/smart_open_1734485076778/work/dist
-smmap @ file:///home/conda/feedstock_root/build_artifacts/smmap_1634310307496/work
-sniffio @ file:///home/conda/feedstock_root/build_artifacts/sniffio_1708952932303/work
-sortedcontainers @ file:///home/conda/feedstock_root/build_artifacts/sortedcontainers_1621217038088/work
-soupsieve @ file:///home/conda/feedstock_root/build_artifacts/soupsieve_1693929250441/work
-spacy @ file:///home/conda/feedstock_root/build_artifacts/spacy_1732449874682/work
-spacy-legacy @ file:///home/conda/feedstock_root/build_artifacts/spacy-legacy_1674550301837/work
-spacy-loggers @ file:///home/conda/feedstock_root/build_artifacts/spacy-loggers_1694527114282/work
 sparse==0.15.5
-SQLAlchemy @ file:///home/conda/feedstock_root/build_artifacts/sqlalchemy_1729066352888/work
 sqlglot==26.6.0
-sqlparse @ file:///home/conda/feedstock_root/build_artifacts/sqlparse_1734007102193/work
-srsly @ file:///home/conda/feedstock_root/build_artifacts/srsly_1737143183180/work
-stack-data @ file:///home/conda/feedstock_root/build_artifacts/stack_data_1669632077133/work
 starlette==0.45.3
-statsmodels @ file:///home/conda/feedstock_root/build_artifacts/statsmodels_1727986688191/work
-streamlit @ file:///home/conda/feedstock_root/build_artifacts/streamlit_1739846950093/work
 sympy==1.13.1
-tables @ file:///home/conda/feedstock_root/build_artifacts/pytables_1724161041994/work
-tblib @ file:///home/conda/feedstock_root/build_artifacts/tblib_1702066284995/work
-tenacity @ file:///home/conda/feedstock_root/build_artifacts/tenacity_1733649050774/work
-terminado @ file:///home/conda/feedstock_root/build_artifacts/terminado_1710262609923/work
 textblob==0.19.0
-thinc @ file:///home/conda/feedstock_root/build_artifacts/thinc_1733202756977/work
-threadpoolctl @ file:///home/conda/feedstock_root/build_artifacts/threadpoolctl_1714400101435/work
-tifffile @ file:///home/conda/feedstock_root/build_artifacts/tifffile_1727250434425/work
-tinycss2 @ file:///home/conda/feedstock_root/build_artifacts/tinycss2_1729802851396/work
 tokenizers==0.21.0
-toml @ file:///home/conda/feedstock_root/build_artifacts/toml_1734091811753/work
-tomli @ file:///home/conda/feedstock_root/build_artifacts/tomli_1727974628237/work
 tomlkit==0.13.2
-toolz @ file:///home/conda/feedstock_root/build_artifacts/toolz_1728059506884/work
 torch==2.6.0+cu126
 torchaudio==2.6.0+cu126
 torchvision==0.21.0+cu126
-tornado @ file:///home/conda/feedstock_root/build_artifacts/tornado_1724956131631/work
-tqdm @ file:///home/conda/feedstock_root/build_artifacts/tqdm_1722737464726/work
-traitlets @ file:///home/conda/feedstock_root/build_artifacts/traitlets_1713535121073/work
 transformers==4.49.0
-trio @ file:///home/conda/feedstock_root/build_artifacts/trio_1739529641377/work
-trio-websocket @ file:///home/conda/feedstock_root/build_artifacts/bld/rattler-build_trio-websocket_1739800863/work
 triton==3.2.0
-truststore @ file:///home/conda/feedstock_root/build_artifacts/truststore_1729762363021/work
 typer==0.15.1
 typer-slim==0.15.1
-types-python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/types-python-dateutil_1727940235703/work
-typing-utils @ file:///home/conda/feedstock_root/build_artifacts/typing_utils_1622899189314/work
-typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1717802530399/work
-tzdata @ file:///home/conda/feedstock_root/build_artifacts/python-tzdata_1727140567071/work
-tzlocal @ file:///home/conda/feedstock_root/build_artifacts/tzlocal_1739471997586/work
 uc-micro-py==1.0.3
-unicodedata2 @ file:///home/conda/feedstock_root/build_artifacts/unicodedata2_1729704561929/work
-uri-template @ file:///home/conda/feedstock_root/build_artifacts/uri-template_1688655812972/work/dist
-urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1726496430923/work
 uv==0.6.1
 uvicorn==0.34.0
 vaderSentiment==3.3.2
-wasabi @ file:///home/conda/feedstock_root/build_artifacts/wasabi_1715409665169/work
-watchdog @ file:///home/conda/feedstock_root/build_artifacts/watchdog_1730492891215/work
 watchfiles==1.0.4
-wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1704731205417/work
-weasel @ file:///home/conda/feedstock_root/build_artifacts/weasel_1734270156651/work
-webcolors @ file:///home/conda/feedstock_root/build_artifacts/webcolors_1723294704277/work
-webencodings @ file:///home/conda/feedstock_root/build_artifacts/webencodings_1694681268211/work
-websocket-client @ file:///home/conda/feedstock_root/build_artifacts/websocket-client_1713923384721/work
 websockets==14.2
 wheel==0.44.0
-widgetsnbextension @ file:///home/conda/feedstock_root/build_artifacts/widgetsnbextension_1724331337528/work
-wrapt @ file:///home/conda/feedstock_root/build_artifacts/wrapt_1736869451908/work
-wsproto @ file:///home/conda/feedstock_root/build_artifacts/wsproto_1733060193308/work
-xgboost @ file:///home/conda/feedstock_root/build_artifacts/xgboost-split_1738880198843/work/python-package
-xlrd @ file:///home/conda/feedstock_root/build_artifacts/xlrd_1610224409810/work
 xlsx2csv==0.8.4
-xyzservices @ file:///home/conda/feedstock_root/build_artifacts/xyzservices_1725366347586/work
-zict @ file:///home/conda/feedstock_root/build_artifacts/zict_1681770155528/work
-zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1726248574750/work
 zstandard==0.23.0

ultima_seo.egg-info/PKG-INFO

@@ -0,0 +1,47 @@
+Metadata-Version: 2.4
+Name: ultima-seo
+Version: 0.1.0
+Summary: Add your description here
+Requires-Python: >=3.12
+Description-Content-Type: text/markdown
+Requires-Dist: scipy==1.11.4
+Requires-Dist: anthropic>=0.55.0
+Requires-Dist: google-generativeai>=0.8.5
+Requires-Dist: ipywidgets>=8.1.7
+Requires-Dist: langchain>=0.3.26
+Requires-Dist: langchain-anthropic>=0.3.16
+Requires-Dist: langchain-community>=0.0.28
+Requires-Dist: langchain-google-genai>=2.0.10
+Requires-Dist: langchain-openai>=0.3.27
+Requires-Dist: openai>=1.93.0
+Requires-Dist: pydantic>=2.11.7
+Requires-Dist: pydantic-ai>=0.3.5
+Requires-Dist: pyrsm>=1.6.0
+Requires-Dist: python-dotenv>=1.1.1
+Requires-Dist: pytrends>=4.9.2
+Requires-Dist: requests>=2.32.4
+Requires-Dist: tweepy>=4.16.0
+Requires-Dist: bs4>=0.0.2
+Requires-Dist: playwright>=1.53.0
+
+---
+title: Ultima Seo
+emoji: 🌍
+colorFrom: yellow
+colorTo: indigo
+sdk: docker
+pinned: false
+license: mit
+short_description: SEO Optimization AI Tool
+---
+
+This is a templated Space for [Shiny for Python](https://shiny.rstudio.com/py/). 
+
+
+To get started with a new app do the following:
+
+1) Install Shiny with `pip install shiny`
+2) Create a new app with `shiny create`
+3) Then run the app with `shiny run --reload`
+
+To learn more about this framework please see the [Documentation](https://shiny.rstudio.com/py/docs/overview.html).

ultima_seo.egg-info/SOURCES.txt

@@ -0,0 +1,12 @@
+README.md
+pyproject.toml
+server/__init__.py
+server/blog.py
+server/meta.py
+server/price_matching.py
+server/twitter.py
+ultima_seo.egg-info/PKG-INFO
+ultima_seo.egg-info/SOURCES.txt
+ultima_seo.egg-info/dependency_links.txt
+ultima_seo.egg-info/requires.txt
+ultima_seo.egg-info/top_level.txt

ultima_seo.egg-info/dependency_links.txt

@@ -0,0 +1 @@
+

ultima_seo.egg-info/requires.txt

@@ -0,0 +1,19 @@
+scipy==1.11.4
+anthropic>=0.55.0
+google-generativeai>=0.8.5
+ipywidgets>=8.1.7
+langchain>=0.3.26
+langchain-anthropic>=0.3.16
+langchain-community>=0.0.28
+langchain-google-genai>=2.0.10
+langchain-openai>=0.3.27
+openai>=1.93.0
+pydantic>=2.11.7
+pydantic-ai>=0.3.5
+pyrsm>=1.6.0
+python-dotenv>=1.1.1
+pytrends>=4.9.2
+requests>=2.32.4
+tweepy>=4.16.0
+bs4>=0.0.2
+playwright>=1.53.0

ultima_seo.egg-info/top_level.txt

@@ -0,0 +1 @@
+server