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Update app.py
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import json
import whisper
import requests
medium_en = whisper.load_model("medium.en")
# def send_results_to_api(data, result_url):
# headers = {"Content-Type": "application/json"}
# response = requests.post(result_url, json= data, headers= headers)
# if response.status_code == 200:
# return response.json()
# else:
# return {"error": f"Failed to send results to API: {response.status_code}"}
def process_audio(params):
try:
params = json.loads(params)
except json.JSONDecodeError as e:
return {"error": f"Invalid JSON input: {e.msg} at line {e.lineno} column {e.colno}"}
audio_files = params.get("urls",[])
if not params.get("normalfileID",[]):
file_ids = [None]*len(audio_files)
else:
file_ids = params.get("normalfileID",[])
# api = params.get("api","")
# job_id = params.get("job_id","")
solutions=[]
print(params,"\n",audio_files)
for audio, file_id in zip(audio_files,file_ids):
result_medium = medium_en.transcribe(audio)
text = result_medium['text']
answer_dict = {}
answer_dict.update({'audioURL':audio, 'solutions':text, "qcUserId": None, "normalfileID": file_id })
solutions.append(answer_dict)
# result_url = f"{api}/{job_id}"
# send_results_to_api(solutions, result_url)
print(json.dumps({"solutions":solutions}))
return json.dumps({"solutions":solutions})
import gradio as gr
inputt = gr.Textbox(label="Parameters in json format Eg. {'audio_files':['file1.mp3','file2.wav'], 'api':'https://api.example.com', 'job_id':'1001'}")
outputt = gr.JSON()
application = gr.Interface(fn=process_audio, inputs= inputt, outputs = outputt, title = "Audio Transcription with API Integration")
application.launch()