# Gradio with Whisper
**URL:**
**Author:**  [@bharadwaj509](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fbharadwaj509)%5C
**Post date:** [March 23, 2023, 11:19pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fgradio-with-whisper%2F34522%2F1 "2023-03-23T23:19:43Z")
Can we do soemthing like this with Gradio and Parallel. I tried both microphone and browse button for mp3 files, but both are resulting in the below error.
```auto
import gradio as gr
generator1 = gr.Interface.load("models/openai/whisper-base")
generator2 = gr.Interface.load("models/openai/whisper-base")
generator3 = gr.Interface.load("models/openai/whisper-base")
demo = gr.Parallel(generator1, generator2, generator3)
demo.launch()
```
Error:
```auto
/usr/local/anaconda3/envs/aimlstuff/lib/python3.10/site-packages/gradio/processing_utils.py:239: UserWarning: Trying to convert audio automatically from int32 to 16-bit int format.
warnings.warn(warning.format(data.dtype))
Traceback (most recent call last):
File "/usr/local/anaconda3/envs/aimlstuff/lib/python3.10/site-packages/gradio/routes.py", line 393, in run_predict
output = await app.get_blocks().process_api(
File "/usr/local/anaconda3/envs/aimlstuff/lib/python3.10/site-packages/gradio/blocks.py", line 1069, in process_api
result = await self.call_function(
File "/usr/local/anaconda3/envs/aimlstuff/lib/python3.10/site-packages/gradio/blocks.py", line 876, in call_function
prediction = await fn(*processed_input)
File "/usr/local/anaconda3/envs/aimlstuff/lib/python3.10/site-packages/gradio/mix.py", line 42, in parallel_fn
return_values_with_durations = await asyncio.gather(
File "/usr/local/anaconda3/envs/aimlstuff/lib/python3.10/site-packages/gradio/blocks.py", line 878, in call_function
prediction = await anyio.to_thread.run_sync(
File "/usr/local/anaconda3/envs/aimlstuff/lib/python3.10/site-packages/anyio/to_thread.py", line 28, in run_sync
return await get_asynclib().run_sync_in_worker_thread(func, *args, cancellable=cancellable,
File "/usr/local/anaconda3/envs/aimlstuff/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 818, in run_sync_in_worker_thread
return await future
File "/usr/local/anaconda3/envs/aimlstuff/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 754, in run
result = context.run(func, *args)
File "/usr/local/anaconda3/envs/aimlstuff/lib/python3.10/site-packages/gradio/external.py", line 317, in query_huggingface_api
data = pipeline["preprocess"](*params)
File "/usr/local/anaconda3/envs/aimlstuff/lib/python3.10/site-packages/gradio/processing_utils.py", line 46, in to_binary
return base64.b64decode(base64str.split(",")[1])
IndexError: list index out of range
```
Is there more documentation on this? Can any one help me?
---
**Author:**  [@bharadwaj509](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fbharadwaj509)%5C
**Post date:** [March 24, 2023, 2:36am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fgradio-with-whisper%2F34522%2F2 "2023-03-24T02:36:57Z")
So, I need to convert the data that I am giving in to an audio file. I was using the following code without Parallel.
```auto
audio = whisper.load_audio(audio)
audio = whisper.pad_or_trim(audio)
```
I tried loading the method as an interface too but that throws me an error related to Tensors.
Any help is appreciated.
---
**Author:**  [@AtxTom](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FAtxTom)%5C
**Post date:** [April 28, 2023, 5:51pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fgradio-with-whisper%2F34522%2F3 "2023-04-28T17:51:07Z")
Hey, what are you trying to do?
I run this code locally that will transcribe a video or audio file for demonstrations on using whisper.
```auto
import whisper
import gradio as gr
model = whisper.load_model("medium.en") # you can use base instead
def audio_to_text(file):
result = model.transcribe(file, fp16=False, verbose=True)
text = result["text"]
return text
demo = gr.Interface(
fn=audio_to_text,
inputs=gr.Video(),
outputs="text")
demo.launch(show_error=True)
```