Update app.py

app.py

@@ -14,7 +14,7 @@ import csv
 qg = QuestionGenerator()
 
 HF_TOKEN = os.environ.get("HF_TOKEN")
-DATASET_NAME = "Question_Generation_T5"
+DATASET_NAME = "question_generation_T5_dataset"
 DATASET_REPO_URL = f"https://huggingface.co/datasets/pragnakalp/{DATASET_NAME}"
 DATA_FILENAME = "que_gen_logs.csv"
 DATA_FILE = os.path.join("que_gen_logs", DATA_FILENAME)
@@ -41,15 +41,11 @@ repo = Repository(
 )
 
 def get_device_ip_address():
-    result = {}
     if os.name == "nt":
         result = "Running on Windows"
         hostname = socket.gethostname()
         ip_address = socket.gethostbyname(hostname)
-        result['ip_addr'] = ip_address
-        result['host'] = hostname
-        print(result)
-        return result
+        return ip_address
     elif os.name == "posix":
         gw = os.popen("ip -4 route show default").read().split()
         s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
@@ -57,15 +53,30 @@ def get_device_ip_address():
         ipaddr = s.getsockname()[0]
         gateway = gw[2]
         host = socket.gethostname()
-        result['ip_addr'] = ipaddr
-        result['host'] = host
-        print(result)
-        return result
+        return ip_address
     else:
         result['id'] = os.name + " not supported yet."
         print(result)
         return result
-        
+
+def get_location(ip_addr):
+    ip=ip_addr
+    # ip=str(request.remote_addr)
+    req_data={
+        "ip":ip,
+        "token":"pkml123"
+    }
+    url = "https://demos.pragnakalp.com/get-ip-location"
+
+    # req_data=json.dumps(req_data)
+    # print("req_data",req_data)
+    headers = {'Content-Type': 'application/json'}
+
+    response = requests.request("POST", url, headers=headers, data=json.dumps(req_data))
+    response = response.json()
+    print("response======>>",response)
+    return response
+    
 def generate_questions(article,num_que):
     result = ''
     try:
@@ -91,23 +102,24 @@ Save generated details
 """
 def save_data_and_sendmail(article,generated_questions,num_que,result):
     try:
-        hostname = {}
-        hostname = get_device_ip_address()
-        url = 'https://pragnakalpdev35.pythonanywhere.com/HF_space_que_gen'
-        # url = 'http://pragnakalpdev33.pythonanywhere.com/HF_space_question_generator'
-        myobj = {'article': article,'total_que': num_que,'gen_que':result,'ip_addr':hostname.get("ip_addr",""),'host':hostname.get("host","")}
-        x = requests.post(url, json = myobj) 
-        add_csv = [article, generated_questions, num_que]
+        ip_address = ''
+        ip_address = get_device_ip_address()
+        location = get_location(ip_address)
+
+        add_csv = [article, generated_questions, num_que, ip_address, location]
+        print("data^^^^^",add_csv)
         with open(DATA_FILE, "a") as f:
             writer = csv.writer(f)
             # write the data
             writer.writerow(add_csv)
             commit_url = repo.push_to_hub()
             print("commit data   :",commit_url)
-    # except Exception as e:
-    #     return "Error while storing data -->" + e
-        
-    # try:  
+            
+        url = 'https://pragnakalpdev35.pythonanywhere.com/HF_space_que_gen'
+        # url = 'http://pragnakalpdev33.pythonanywhere.com/HF_space_question_generator'
+        myobj = {'article': article,'total_que': num_que,'gen_que':result,'ip_addr':hostname.get("ip_addr",""),'host':hostname.get("host","")}
+        x = requests.post(url, json = myobj) 
+        print("myobj^^^^^",myobj)
         # with open(DATA_FILE, "r") as file:
         #     data = json.load(file)
         # data.append(entry)
@@ -129,7 +141,10 @@ demo = gr.Interface(
     [inputs,total_que],
     outputs,
     title="Question Generation using T5",
-    description="Feel free to give your feedback", 
-    css=".gradio-container {background-color: lightgray} #inp_div {background-color: #7FB3D5;}"
+    css=".gradio-container {background-color: lightgray} #inp_div {background-color: #7FB3D5;}",
+    article="""Feel free to give us your [feedback](https://www.pragnakalp.com/contact/) on this NER demo. For all your Named Entity Recognition related 
+            requirements, we are here to help you. Email us your requirement at [letstalk@pragnakalp.com]("mailto:letstalk@pragnakalp.com").
+            And don't forget to check out more interesting [NLP services](https://www.pragnakalp.com/services/natural-language-processing-services/) we are offering.
+                                        <p style='text-align: center;'>Developed by :[ Pragnakalp Techlabs](https://www.pragnakalp.com)</p>"""
 )
 demo.launch(enable_queue = False)