Adding blocks and changinc call function method signature

* Replacing the Interface with Blocks from GRadio
* Modifying the function`call_functions` by only sending the domain of the news channel
* restricting the number of columns in the dataframe.

app.py

@@ -17,11 +17,25 @@ def creating_data_dir(directory_path):
   else:
       print(f"Failed to create directory '{directory_path}'.")
 
-def retrieve_news_per_keyword(api,keywords):
-  # %time
+def retrieve_news_per_keyword(api, keywords, domain):
+
+  selected_domain = domain
+  selected_domain_url = domain_dict[domain]
+  
   for keyword in keywords:
     # print(f"{api} \n {keyword}")
-    response = api.news_api( q= keyword , country = "us", language = 'en', full_content = True)
+    # response = api.news_api( q= keyword , country = "us", language = 'en', full_content = True)
+
+    response = api.news_api(
+        # domain=['bbc', 'forbes' , 'businessinsider_us'],  # 'bbc', 'forbes' , 'businessinsider_us',
+        domainurl=['bbc.com', 'forbes.com', 'businessinsider.com'], # 'bbc.com', 'forbes.com', 'businessinsider.com',
+        category='business' ,
+        # country = "us",
+        timeframe=48,
+        language = 'en',
+        full_content = True,
+        size=10
+    )
     # writing to a file
     file_path = os.path.join(directory_path, f"response_{keyword}.json")
     with open(file_path, "w") as outfile:
@@ -69,30 +83,34 @@ def convert_json_to_csv(file_name):
   json_data_df = pd.read_json(file_name)
   # json_data_df.head()
 
-  columns = [ 'title', 'keywords', 'creator', 'description', 'content', 'pubDate', 'country', 'category', 'language', 'file_keyword' ]
+  # columns = [ 'title', 'keywords', 'creator', 'description', 'content', 'pubDate', 'country', 'category', 'language', 'file_keyword' ]
+  columns = [ 'title', 'pubDate', 'content',  'country', 'category', 'language' ]
   csv_file_name = 'combined_news_response.csv'
   json_data_df[columns].to_csv(csv_file_name)
   print(f'{csv_file_name} is created')
+    
+
 
 
+#-------------------------------------First Function called from the UI----------------------------
 # API key authorization, Initialize the client with your API key
 NEWSDATA_API_KEY = "pub_2915202f68e543f70bb9aba9611735142c1fd"
 keywords = [  "GDP",  "CPI",  "PPI",  "Unemployment Rate",  "Interest Rates",  "Inflation",  "Trade Balance",  "Retail Sales",  "Manufacturing Index",  "Earnings Reports",  "Revenue Growth",  "Profit Margins",  "Earnings Surprises",  "Geopolitical Events",  "Trade Tensions",  "Elections",  "Natural Disasters",  "Global Health Crises",  "Oil Prices",  "Gold Prices",  "Precious Metals",  "Agricultural Commodities",  "Federal Reserve",  "ECB",  "Forex Market",  "Exchange Rates",  "Currency Pairs",  "Tech Company Earnings",  "Tech Innovations",  "Retail Trends",  "Consumer Sentiment",  "Financial Regulations",  "Government Policies",  "Technical Analysis",  "Fundamental Analysis",  "Cryptocurrency News",  "Bitcoin",  "Altcoins",  "Cryptocurrency Regulations",  "S&P 500",  "Dow Jones",  "NASDAQ",  "Market Analysis",  "Stock Market Indices" ]
+domain_dict = {'bbc': 'bbc.com', 'forbes': 'forbes.com', 'businessinsider_us': 'businessinsider.com'}
 
 # creating a data directory
 # Define the directory path you want to create
 directory_path = './data'
 
-def call_functions(directory_path='./data'):
+def call_functions(domain):
   creating_data_dir(directory_path)
   items = os.listdir(directory_path)
-  
-  file_name = './combined_news_response.json'
 
+  file_name = './combined_news_response.json'
   if len(items) == 0:
     print(f"Directory '{directory_path}' is empty.")
     api = NewsDataApiClient(apikey=NEWSDATA_API_KEY)
-    retrieve_news_per_keyword(api,keywords)
+    retrieve_news_per_keyword(api, keywords, domain)
     combine_responses_into_one(directory_path)
     convert_json_to_csv(file_name)
   elif len(items) >= 2:
@@ -115,13 +133,25 @@ def call_functions(directory_path='./data'):
       return f"CSV file '{csv_file_name}' not found."
 
 
-# Create a Gradio interface
-iface = gr.Interface(
-    fn=call_functions,
-    inputs=gr.components.Textbox(label="Directory Path"),
-    outputs=gr.components.Dataframe(type="pandas")
-)
 
 
-# Launch the Gradio app
-iface.launch(debug=True)
+#----------------------------GRADIO APP--------------------------------------#
+# # GRADIO APP USING INTERFACE
+# # Create a Gradio interface
+# iface = gr.Interface(
+#     fn=call_functions,
+#     inputs=gr.components.Textbox(label="Directory Path"),
+#     outputs=gr.components.Dataframe(type="pandas")
+# )
+# # Launch the Gradio app
+# iface.launch(debug=True)
+
+# GRADIO APP USING BLOCKS
+with gr.Blocks() as demo:
+  ui_domain = gr.Dropdown(["bbc", "forbes", "businessinsider_us"], label="Select Domain")
+  df_output = gr.Dataframe(type="pandas")
+  retrieve_button = gr.Button("Retrieve news")
+
+  retrieve_button.click(call_functions, inputs=ui_domain, outputs=df_output)
+
+demo.launch(debug=True)