Update app.py

app.py

@@ -3,7 +3,7 @@ import pickle
 import numpy as np
 
 # Load your model from the .pkl file
-with open('disease_prediction_model.pkl', 'rb') as model_file:
+with open('model.pkl', 'rb') as model_file:
     model = pickle.load(model_file)
 
 # Define the prediction function
@@ -27,19 +27,19 @@ def predict_disease(age, gender, fever, cough, fatigue, difficulty_breathing, bl
     prediction = model.predict(input_features)
     return prediction[0]  # Return the predicted disease
 
-# Gradio interface
+# Gradio interface using new components
 inputs = [
-    gr.inputs.Number(label="Age"),
-    gr.inputs.Radio(choices=["Male", "Female"], label="Gender"),
-    gr.inputs.Radio(choices=["Yes", "No"], label="Fever"),
-    gr.inputs.Radio(choices=["Yes", "No"], label="Cough"),
-    gr.inputs.Radio(choices=["Yes", "No"], label="Fatigue"),
-    gr.inputs.Radio(choices=["Yes", "No"], label="Difficulty Breathing"),
-    gr.inputs.Dropdown(choices=["Low", "Normal", "High"], label="Blood Pressure"),
-    gr.inputs.Dropdown(choices=["Low", "Normal", "High"], label="Cholesterol Level")
+    gr.Number(label="Age"),
+    gr.Radio(choices=["Male", "Female"], label="Gender"),
+    gr.Radio(choices=["Yes", "No"], label="Fever"),
+    gr.Radio(choices=["Yes", "No"], label="Cough"),
+    gr.Radio(choices=["Yes", "No"], label="Fatigue"),
+    gr.Radio(choices=["Yes", "No"], label="Difficulty Breathing"),
+    gr.Dropdown(choices=["Low", "Normal", "High"], label="Blood Pressure"),
+    gr.Dropdown(choices=["Low", "Normal", "High"], label="Cholesterol Level")
 ]
 
-outputs = gr.outputs.Textbox(label="Predicted Disease")
+outputs = gr.Textbox(label="Predicted Disease")
 
 # Create and launch the app
 app = gr.Interface(fn=predict_disease, inputs=inputs, outputs=outputs, title="Symptom to Disease Prediction")