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gradio_app.py

@@ -107,24 +107,24 @@ def translate(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]
+# 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 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 5: Retrieve the row at the random index
+#         random_row = rows[random_index]
 
-        # Step 6: Print or process the random row
-        return random_row
+#         # Step 6: Print or process the random row
+#         return random_row
 
-example = get_random_sample()
+# example = get_random_sample()
 
 
 def predict_statutes(fir_text,language):  
@@ -133,17 +133,16 @@ def predict_statutes(fir_text,language):
     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),ac_statute)
+            return "\n".join(f"- {statute}" for statute in statutes_list)
         else:  
-            return ("No statutes were predicted. Please check the FIR text and try again.",ac_statute)
+            return "No statutes were predicted. Please check the FIR text and try again."
     else:  
-        return ("Please enter the FIR text to predict statutes.",ac_statute)
+        return "Please enter the FIR text to predict statutes."
 
 demo = gr.Interface(
     title='Statute Prediction',
@@ -153,8 +152,8 @@ 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"),gr.Textbox(label="Actual Statutes",value=example[-1])],  
-    examples=[[example[5], "English"]],  
+    outputs=[gr.Textbox(label="Predicted Statutes")],  
+    # examples=[[example[5], "English"]],  
 )  
   
 demo.launch()