add Programming Launage search function

app.py

@@ -12,27 +12,40 @@ def read_json(file_name):
 
 json_file = "awesome-japanese-nlp-resources-search.json"
 json_data = read_json(json_file)
-data = {"project_name": [], "source": [], "description": []}
+data = {"project_name": [], "source": [], "description": [], "languages": []}
 
 for data_json in json_data:
     url = data_json["url"]
     description = data_json["description"]
     project_name = data_json["project_name"]
     source = data_json["source"]
+    languages = data_json["languages"]
+
     data["project_name"].append(f"[{project_name}]({url})")
     data["source"].append(source)
     data["description"].append(description)
+    data["languages"].append(", ".join(languages))
 
 data = pd.DataFrame(data)
 
 
-def show_search_results(queries):
+def show_search_results(language_filter, queries):
     queries = queries.lower()
     queries = queries.split()
 
     df_search = data
+
+    if language_filter:
+        regex_pattern = r"\b" + language_filter + r"\b"
+        df_search = df_search[
+            df_search["languages"].str.contains(
+                regex_pattern, case=False, regex=True, na=False
+            )
+        ]
+
     for query in queries:
         contained_description = data["description"].str.contains(query)
+
         contained_project_name = data["project_name"].str.contains(query)
         df_search = df_search[contained_description | contained_project_name]
     return df_search
@@ -49,10 +62,43 @@ with gr.Blocks() as demo:
     query = gr.Textbox(
         label="Search English or Japanese words", placeholder="llm"
     )
+    languages = [
+        "Python",
+        "Jupyter Notebook",
+        "Java",
+        "C++",
+        "JavaScript",
+        "TypeScript",
+        "C#",
+        "Rust",
+        "Go",
+        "C",
+        "Kotlin",
+        "Ruby",
+        "Perl",
+        "Lua",
+        "PHP",
+        "Julia",
+        "R",
+        "Swift",
+        "Haskell",
+        "Scala",
+    ]
+
+    language_selector = gr.Dropdown(
+        label="Programming Language",
+        choices=languages,
+    )
+
     df = gr.DataFrame(
         value=data, type="pandas", datatype="markdown", height=1000
     )
 
-    query.change(fn=show_search_results, inputs=query, outputs=df)
+    query.change(
+        fn=show_search_results, inputs=[language_selector, query], outputs=df
+    )
+    language_selector.change(
+        fn=show_search_results, inputs=[language_selector, query], outputs=df
+    )
 
 demo.launch()