Update app.py

app.py

@@ -59,23 +59,9 @@ if model_config_string.find('"groups": 1,') != -1:
 
 f.close() 
 
- # Function to interact with the Ollama model
 
-def query_model(input_text):
-
-    response = subprocess.run(
-
-        ["ollama", "run", OLLAMA_MODEL, input_text],
-
-        stdout=subprocess.PIPE,
-
-        stderr=subprocess.PIPE,
-
-        text=True
-
-    )
 
-    return response.stdout if response.returncode == 0 else response.stderr                           
+                          
 # Load the breast cancer detection model
 
 incept_model = tf.keras.models.load_model('best_model_2.h5')