Update app.py

app.py

@@ -171,7 +171,7 @@ def predict(prompt, video_data, temperature, model, tokenizer):
     gen_kwargs = {
         "max_new_tokens": 2048,
         "pad_token_id": 128002,
-        "top_k": 1,
+        "top_k": 3,
         "do_sample": False,
         "top_p": 0.1,
         "temperature": temperature,
@@ -210,7 +210,8 @@ Following are the subactivities needs to happen in this step.
 {get_step_info(step_number)}
 
 Important:Please provide your output in the following format:
-Output_Examples = {
+
+Output_Format = {
      ["Delay in Bead Insertion", "Lack of raw material"],
      ["Inner Liner Adjustment by Technician", "Person rebuilding defective Tire Sections"],
      ["Manual Adjustment in Ply1 Apply", "Technician repairing defective Tire Sections"],