Update requirements.txt

app.py

@@ -348,6 +348,9 @@ def load_model(tweet):
         with torch.no_grad():
             model.eval()
             pred = model(inputs)
+            print("prediction ",pred)
+            print("sigmoid output",torch.sigmoid(pred))
+            print("sigmoid item",torch.sigmoid(pred).item())
             # Assuming your model returns a single value for prediction
             pred = torch.round(torch.sigmoid(pred)).item()
         

requirements.txt

@@ -49,6 +49,7 @@ Pygments==2.17.2
 pyparsing==3.1.2
 pyphen==0.15.0
 python-dateutil==2.9.0.post0
+python-dotenv==1.0.1
 python-multipart==0.0.9
 pytz==2024.1
 PyYAML==6.0.1