Update app.py

app.py

@@ -4,39 +4,39 @@ import requests
 
 large_multi = whisper.load_model("large-v3")
 
-def send_results_to_api(data, result_url):
-    headers = {"Content-Type":"application/json"}
-    response = requests.post(result_url, json= data, headers=headers)
+# 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}"}
+#     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):
     solutions=[]
 
     params = json.loads(params)
 
-    audio_files = params.get("audio_files",[])
-    api = params.get("api", "")
-    job_id = params.get("job_id", "")
+    audio_files = params.get("urls",[])
+    # api = params.get("api", "")
+    # job_id = params.get("job_id", "")
 
     for audio in audio_files:
         result_multi = large_multi.transcribe(audio)
         text = result_multi['text']
 
         answer_dict = {}
-        answer_dict.update({'file_name':audio, 'text':text})
+        answer_dict.update({'url':audio, 'answer':text})
         solutions.append(answer_dict)
 
-    result_url = f"{api}/{job_id}"
+    # result_url = f"{api}/{job_id}"
     # send_results_to_api(solutions, result_url)
-    return json.dumps({"solutions":solutions}, indent=4)
+    return json.dumps({"solutions":solutions})
 
 import gradio as gr
 inputt = gr.Textbox(label = "Parameter 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="Hindi 2 Hindi Audio transcription with API Intergration")
-application.launch(share=True)
+application.launch()