big update

app.py

@@ -46,7 +46,6 @@ if uploaded_file is not None:
     time.sleep(2)
     st.write("File Saved!")
 
-    st.write("Analysing...")
     while(endReached==False):
         sr, waveform = wavfile.read(uploaded_file.name)
         input_tensor = torch.tensor(waveform[s:n]).unsqueeze(0).to(torch.float32)
@@ -66,27 +65,27 @@ if uploaded_file is not None:
     cwdir = os.getcwd()
     file_path = os.path.join(cwdir, filename)
 
-    if os.path.exists(file_path):
-        total = snore + other
-        snore_percentage = (snore / total) * 100
-        other_percentage = (other / total) * 100
+if st.button("Analyse"):
+    total = snore + other
+    snore_percentage = (snore / total) * 100
+    other_percentage = (other / total) * 100
+
+    categories = ["Snore", "Other"]
+    percentages = [snore_percentage, other_percentage]
+
+    plt.figure(figsize=(8, 4))
+    plt.barh(categories, percentages, color=['#ff0033', '#00ffee'])
+    plt.xlabel('Percentage')
+    plt.title('Percentage of Snoring')
+    plt.xlim(0, 100)
+
+    for i, percentage in enumerate(percentages):
+        plt.text(percentage, i, f' {percentage:.2f}%', va='center')
+    st.write("DONE")
+    st.pyplot(plt)
 
-        categories = ["Snore", "Other"]
-        percentages = [snore_percentage, other_percentage]
 
-        plt.figure(figsize=(8, 4))
-        plt.barh(categories, percentages, color=['#ff0033', '#00ffee'])
-        plt.xlabel('Percentage')
-        plt.title('Percentage of Snoring')
-        plt.xlim(0, 100)
 
-        for i, percentage in enumerate(percentages):
-            plt.text(percentage, i, f' {percentage:.2f}%', va='center')
-        st.write("DONE")
-        st.pyplot(plt)
 
 
-   
-    
-