No Word inserted!

from transformers import pipeline, WhisperModel
import gradio as gr
import pandas as pd
import string

pipe = pipeline(model="matteocirca/whisper-small-it-2",return_timestamps="word")
current_audio = None
segments = {}

def audio2segments(audio,word):
    global segments,current_audio
    
    if audio != current_audio or current_audio == None:
        segments = pipe(audio)
        current_audio = audio
    if not word:
        if current_audio != None:
            return segments["text"],"<html><h1>No Word inserted!</h1></html>"
        else:
            return "","<html><h1>No Word inserted!</h1></html>"
    df = pd.DataFrame(columns=["Occurrence n","Starting TimeStamp","Ending TimeStamp"])
    
    if word:
        ranges_list = []
        ranges = []
        print(segments)
       
        for w in segments['chunks']:
            if word == w["text"].translate(str.maketrans('', '', string.punctuation)).replace(" ","").lower() :
                ranges_list.append(w["timestamp"])
        res = "<table><thead><tr><th>Occurrence n°</th><th>Start</th><th>End</th></tr></thead><tbody>"
        

        for i,r in enumerate(ranges_list):
            # ranges_list.append({"Occurrence n":i,"Starting TimeStamp":r[0],"Ending TimeStamp":r[1]})
            res += f"<tr><td>{i}</td><td>{r[0]}</td><td>{r[1]}</td></tr>"
        
        res+=" </tbody></table>"
        print(res)
        return segments["text"],res

def clear():
    segments = {}
    

iface = gr.Interface(
    fn=audio2segments, 
    inputs=[gr.Audio(sources=["upload","microphone"], type="filepath"),"text"],
    outputs=["text","html"],
    title="Whisper Small Italian",
    description="Realtime demo for Italian speech recognition using a fine-tuned Whisper small model.",
)


iface.launch()