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-Apr.csv filter=lfs diff=lfs merge=lfs -text
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+*.csv filter=lfs diff=lfs merge=lfs -text

Apr.csv

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 version https://git-lfs.github.com/spec/v1
-oid sha256:4bc09d1274c0b59e8cae97dd8c66e749178ce1706d9e2cd19a7fbb5fc94f7025
-size 249616475
+oid sha256:e59ae71345be83097e3f15b437541a1a1f0c68c17b280b87de966c6e066bffcd
+size 134

gradio_app.py

@@ -2,12 +2,14 @@ import requests, uuid, json
 from openai import AzureOpenAI,OpenAI
 import re
 import gradio as gr
+import csv
+import random
 
-client = AzureOpenAI(
-    api_key="e5a86e5ac7ce453a8fae2dcbfaafbef7", 
-    api_version="2023-07-01-preview",
-    azure_endpoint="https://votum.openai.azure.com/",
-)
+# client = AzureOpenAI(
+#     api_key="e5a86e5ac7ce453a8fae2dcbfaafbef7", 
+#     api_version="2023-07-01-preview",
+#     azure_endpoint="https://votum.openai.azure.com/",
+# )
 
 mistral_client = OpenAI(
     api_key='EMPTY',
@@ -22,9 +24,9 @@ You should to showcase creativity and knowledge to enhance the accuracy of statu
 
 Context:
 -----
-Fact Statement:"Nakal Tahrir Hindi Plaintiff Service in Mr. SHO Sir Police Station Akrawad District Aligarh Sir, today on 24/4/2021, I along with Deputy Inspector Kapil Dev Maya Hamrah Ka0 406 Narsingh was in the police station area in the police station area to effectively follow the preventive action and public to follow the public in connection with the election. Ravindra Giri, a candidate for the post of panchayat member, along with his supporters, has violated the rules of code of conduct and public care by violating Section 144 CrPC by violating Section 144 CrPC by violating the campaign vehicle UP 86 T 5771 MAX without any permission in his favor with his supporters. In which there was full possibility of spreading the infection, the documents of the said vehicle were asked from the candidate Ravindra Giri, then the vehicle number UP 86 T 5771 was seized under section 207 MV Act and Gavendra Giri son of Moti Giri and Jitendra Giri son of Ramprakash Giri and Gaurav Giri son of Jugendra Giri Ni0 Gana Kathera police station Vijaygarh district Aligarh and Yogesh Kumar son of Rajendra Singh Ni0wari police station Vijaygarh district Aligarh The offence of IPC reaches the extent of Section 188/269/171 C IPC and Epidemic Act. Sir, I request you to please register a case against the said accused and take necessary action. S.C. English U.P. Kapil Dev 24/4/21 Kapil Dev SI PS Akrawad Aligarh In the note CC 686 Yashpal Singh certifies that the copy of Tahrir has been marked as word and word."
+Fact Statement:"Copying Tahrir Hindi plaintiff ................... In service Mr. SHO Akrabad Aligarh The request is that I am Rahul Kumar S/0 Gopal resident of Vijaygarh Chauraha Police Station Akrabad Aligarh, today on 30/4/2021 at around 7 o'clock in the evening I was sitting at my coke shop, Deepu, Kalu, Karthik, Dinesh, Saunu, came to me and started saying that you ask for a lot of money, now tell you that then the above people called their colleagues and called  And all of them unanimously started beating me and my sister Neelam, due to which my sister's clothes were torn, hearing the noise, Ramu Sunil, many people came from nearby, then all these people started running threatening to kill and then Kalu S/0 Dinanath resident of Kuagaon, Karthik S/0 Devendra,  Deepu fired at me with the intention of killing me, in which a fire has hit the thumb of my left hand, due to which I have suffered a lot of injury and bleeding, so I request sir to please file my report Signature Rahul Applicant Rahul S/0 Gopal R/o Vijaygarh Chauraha Police Station Akhrabad Aligarh Mo0 8126303026 Date30/4/2021 Author: Narasimma Pawar S/0 Rambabu Powerhouse, Karhala Road, Mau0 908400582 Note: I am CC 551 Sanjeev Kumar certifying that the copy of Tahrir has been recorded on the computer word and word"
 
-Statutes:['IPC_188', 'IPC_269', 'IPC_171C', 'The_Motor_Vehicles_Act_1988_207']
+Statutes:['IPC_323', 'IPC_354', 'IPC_307', 'IPC_506']
 -----
 
 ###
@@ -36,8 +38,7 @@ Instructions:
 
 Learn from the examples provided in the context to understand the task of charge or statute prediction.
 Your response should be focused on providing the exact statute or charge that aligns with the legal principles and precedents applicable to the given facts.
-In your response, include only the statutes you are most confident about.Ensure that the statutes generated as responses are valid and recognized legal statutes appliable in FIRs like IPC or special acts like The_Arms_Act_27, Protection_of_Children_from_Sexual_Offenses_Act_2012, Motor_Vehicles_Act etc. Avoid generating fabricated or invalid statutes.
-The model's performance will be evaluated based on its ability to predict the correct statute, include only confident statutes, and showcase creativity in its predictions.
+In your response, include only the statutes you are most confident about.Ensure that the statutes generated as responses are valid and recognized legal statutes applicable in FIRs. In certain cases you can also apply sections from special acts including but not limited to 'The_Arms_Act_27' , 'The_Motor_Vehicles_Act_1988', 'Dowry_Prohibition_Act_1961', like 'Dowry_Prohibition_Act_1961_3'. Avoid generating fabricated or invalid statutes.
 Think step by step to cover all possible statutes that are relevant to the fact statement.
 
 Fact Statement: ```{fact}```
@@ -102,23 +103,48 @@ def translate(text):
     request = requests.post(constructed_url, params=params, headers=headers, json=body)
     return request.json()[0]['translations'][0]['text']
 
+
+  
+  
+
+def get_random_sample():
+    filename = "Apr.csv"  # Replace 'your_file.csv' with your actual file path
+    with open(filename, 'r', newline='') as csvfile:
+        # Step 3: Read all rows into a list
+        reader = csv.reader(csvfile)
+        rows = [row for row in reader]
+
+        # Step 4: Generate a random index
+        random_index = random.randint(0, len(rows) - 1)
+        print(ra)
+
+        # Step 5: Retrieve the row at the random index
+        random_row = rows[random_index]
+
+        # Step 6: Print or process the random row
+        return random_row
+
+example = get_random_sample()
+
+
 def predict_statutes(fir_text,language):  
     if language == 'Hindi':
         text = translate(fir_text)
     else:
         text = fir_text
-        
+    
+    ac_statute= example[-1] if fir_text==example[5] else ''
+    
     if text:  
         gpt_output = generate(text)  
         statutes_list = extract_statutes(gpt_output)  
         if statutes_list:  
-            return "\n".join(f"- {statute}" for statute in statutes_list)  
+            return ("\n".join(f"- {statute}" for statute in statutes_list),ac_statute)
         else:  
-            return "No statutes were predicted. Please check the FIR text and try again."  
+            return ("No statutes were predicted. Please check the FIR text and try again.",ac_statute)
     else:  
-        return "Please enter the FIR text to predict statutes."  
-  
-# Gradio app layout  
+        return ("Please enter the FIR text to predict statutes.",ac_statute)
+
 demo = gr.Interface(
     title='Statute Prediction',
     description='Uses AI to analyze the FIR content and intelligently predict applicable statutes',
@@ -127,8 +153,8 @@ demo = gr.Interface(
             gr.Dropdown(label="Select Language", choices=["English", "Hindi"], value="English"),
             # gr.Slider(minimum=0.1,maximum=1.0,value=0.5,step=0.1),
             ],
-    outputs=gr.Textbox(label="Predicted Statutes"),  
-    examples=[[fact_example, "English"]],  
+    outputs=[gr.Textbox(label="Predicted Statutes"),gr.Textbox(label="Actual Statutes",value=example[-1])],  
+    examples=[[example[5], "English"]],  
 )  
   
 demo.launch()

test.py

@@ -0,0 +1,20 @@
+import csv
+import random
+
+# Step 1: Import the necessary modules
+
+# Step 2: Open the CSV file in read mode
+filename = "Apr.csv"  # Replace 'your_file.csv' with your actual file path
+with open(filename, 'r', newline='') as csvfile:
+    # Step 3: Read all rows into a list
+    reader = csv.reader(csvfile)
+    rows = [row for row in reader]
+
+    # Step 4: Generate a random index
+    random_index = random.randint(0, len(rows) - 1)
+
+    # Step 5: Retrieve the row at the random index
+    random_row = rows[random_index]
+
+    # Step 6: Print or process the random row
+    print(random_row)