Delete app.py

app.py

@@ -1,118 +0,0 @@
-import streamlit as st
-from st_utils import bm25_search, semantic_search, hf_api, paginator
-from huggingface_hub import ModelSearchArguments
-import webbrowser
-from numerize.numerize import numerize
-import math
-
-st.set_page_config(
-    page_title="HF Search Engine",
-    page_icon="🔎",
-    layout="wide",
-    initial_sidebar_state="auto",
-)
-
-### SIDEBAR
-search_backend = st.sidebar.selectbox(
-    "Search method",
-    ["semantic", "bm25", "hfapi"],
-    format_func=lambda x: {"hfapi": "Keyword search", "bm25": "BM25 search", "semantic": "Semantic Search"}[x],
-)
-limit_results = int(st.sidebar.number_input("Limit results", min_value=0, value=10))
-sort_by = st.sidebar.selectbox(
-    "Sort by",
-    [None, "downloads", "likes", "lastModified"],
-    format_func=lambda x: {None: "Relevance", "downloads": "Most downloads", "likes": "Most likes", "lastModified": "Recently updated"}[x],
-)
-
-st.sidebar.markdown("# Filters")
-args = ModelSearchArguments()
-library = st.sidebar.multiselect(
-    "Library", args.library.values(), format_func=lambda x: {v: k for k, v in args.library.items()}[x]
-)
-task = st.sidebar.multiselect(
-    "Task", args.pipeline_tag.values(), format_func=lambda x: {v: k for k, v in args.pipeline_tag.items()}[x]
-)
-
-### MAIN PAGE
-st.markdown(
-    "<h1 style='text-align: center; '>🔎🤗 HF Search Engine</h1>",
-    unsafe_allow_html=True,
-)
-
-# Search bar
-search_query = st.text_input("Search for a model in HuggingFace", value="", max_chars=None, key=None, type="default")
-
-if search_query != "":
-    filters = {
-        "library": library,
-        "task": task,
-    }
-    if search_backend == "hfapi":
-        res = hf_api(search_query, limit_results, sort_by, filters)
-    elif search_backend == "semantic":
-        res = semantic_search(search_query, limit_results, sort_by, filters)
-    elif search_backend == "bm25":
-        res = bm25_search(search_query, limit_results, sort_by, filters)
-    hit_list, hits_count = res["hits"], res["count"]
-    hit_list = [
-        {
-            "modelId": hit["modelId"],
-            "tags": hit["tags"],
-            "downloads": hit["downloads"],
-            "likes": hit["likes"],
-            "readme": hit.get("readme", None),
-        }
-        for hit in hit_list
-    ]
-
-    if hit_list:
-        st.write(f"Search results ({hits_count}):")
-
-        if hits_count > 100:
-            shown_results = 100
-        else:
-            shown_results = hits_count
-
-        for i, hit in paginator(
-            f"Select results (showing {shown_results} of {hits_count} results)",
-            hit_list,
-        ):
-            col1, col2, col3 = st.columns([5, 1, 1])
-            col1.metric("Model", hit["modelId"])
-            col2.metric("N° downloads", numerize(hit["downloads"]) if hit["downloads"] and not math.isnan(hit["downloads"]) else "N/A")
-            col3.metric("N° likes", numerize(hit["likes"]) if hit["likes"] and not math.isnan(hit["likes"]) else "N/A")
-            st.button(
-                f"View model on 🤗",
-                on_click=lambda hit=hit: webbrowser.open(f"https://huggingface.co/{hit['modelId']}", new=2),
-                key=f"{i}-{hit['modelId']}",
-            )
-            st.write(f"**Tags:** {'&nbsp;&nbsp;•&nbsp;&nbsp;'.join(hit['tags'])}")
-
-            if hit["readme"]:
-                with st.expander("See README"):
-                    st.write(hit["readme"])
-
-            # TODO: embed huggingface spaces
-            #                 import streamlit.components.v1 as components
-            #                 components.html(
-            #     f"""
-            #     <link rel="stylesheet" href="https://gradio.s3-us-west-2.amazonaws.com/2.6.2/static/bundle.css">
-            # <div id="target"></div>
-            # <script src="https://gradio.s3-us-west-2.amazonaws.com/2.6.2/static/bundle.js"></script>
-            # <script>
-            # launchGradioFromSpaces("abidlabs/question-answering", "#target")
-            # </script>
-            #     """,
-            #     height=400,
-            # )
-
-            st.markdown("---")
-
-    else:
-        st.write(f"No Search results, please try again with different keywords")
-
-st.markdown(
-    "<h6 style='text-align: center; color: #808080;'>Made with ❤️ By <a href='https://github.com/NouamaneTazi'>Nouamane</a> - Checkout complete project <a href='https://github.com/NouamaneTazi/hf_search'>here</a></h6>",
-    unsafe_allow_html=True,
-)