Upload 3 files

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+input_fileszQ1QmqrakIA_5-talking.wav filter=lfs diff=lfs merge=lfs -text

input_fileszQ1QmqrakIA_5-talking.wav

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2ff1fad4e5523c89e757a139a14ad68552bd5f8ba9e41cb24cdcc103f58c583d
+size 1276092

main.py

@@ -0,0 +1,25 @@
+from distutils.log import debug 
+from fileinput import filename 
+from flask import * 
+
+from source_code.utils import ML_model
+
+ml_model=ML_model()
+app = Flask(__name__)   
+  
+@app.route('/')   
+def main():   
+    return render_template("index.html")   
+  
+@app.route('/success', methods = ['POST'])   
+def success():   
+    if request.method == 'POST':   
+        f = request.files['file'] 
+        f.save(r"C:\Users\srava\OneDrive\Documents\iitj\ProjectWork\car_crash\car_crash\input_files"+f.filename)  
+        out_response=ml_model.get_prediction(r"C:\Users\srava\OneDrive\Documents\iitj\ProjectWork\car_crash\car_crash\input_files"+f.filename) 
+
+        return render_template("Acknowledgement.html", name = out_response)  
+         
+  
+if __name__ == '__main__':   
+    app.run(debug=True)