Update app.py

app.py

@@ -18,43 +18,65 @@ import gradio as gr
 # demo.launch()
 
 
-import requests
-import time
-import tempfile
+# import requests
+# import time
+# import tempfile
+# import os
+
+# token = os.environ['apikey']
+# #discord_id = os.environ['discord-id']
+# API_HOST = "https://labs-proxy.voicemod.net/"
+
+# def download_file(url):
+#     response = requests.get(url)
+#     if response.status_code == 200:
+#         with tempfile.NamedTemporaryFile(delete=False) as tmp_file:
+#             tmp_file.write(response.content)
+#             tmp_file.flush()
+#             return tmp_file.name
+#     else:
+#         print("Error: Unable to download file")
+
+# def tts(text):
+#     url = API_HOST + "api/v1/tts/create"
+#     payload = {
+#         "text": text[:200] if len(text) > 200 else text,
+#         "voiceId": "6926ecc5-ff5e-47c6-912b-3ffdb880bf56" # Narrator
+#     }
+#     headers = {
+#         'x-api-key': token,
+#     }
+#     response = requests.request("POST", url, headers=headers, json=payload)
+#     jsonResp = response.json()
+
+#     return gr.make_waveform(download_file(jsonResp['audioUrl']))
+
+# demo = gr.Interface(
+#     fn=tts,
+#     inputs="text",
+#     outputs="audio"
+# )
+
+# demo.launch()
+
+import openai
 import os
+#from pymongo import MongoClient
 
-token = os.environ['apikey']
-#discord_id = os.environ['discord-id']
-API_HOST = "https://labs-proxy.voicemod.net/"
-
-def download_file(url):
-    response = requests.get(url)
-    if response.status_code == 200:
-        with tempfile.NamedTemporaryFile(delete=False) as tmp_file:
-            tmp_file.write(response.content)
-            tmp_file.flush()
-            return tmp_file.name
-    else:
-        print("Error: Unable to download file")
-
-def tts(text):
-    url = API_HOST + "api/v1/tts/create"
-    payload = {
-        "text": text[:200] if len(text) > 200 else text,
-        "voiceId": "6926ecc5-ff5e-47c6-912b-3ffdb880bf56" # Narrator
-    }
-    headers = {
-        'x-api-key': token,
-    }
-    response = requests.request("POST", url, headers=headers, json=payload)
-    jsonResp = response.json()
-
-    return gr.make_waveform(download_file(jsonResp['audioUrl']))
-
-demo = gr.Interface(
-    fn=tts,
-    inputs="text",
-    outputs="audio"
+api_key = os.environ.get("OPENAI_API_KEY")
+
+def transcribe_audio(filepath):
+    audio = open(filepath, "rb")
+    transcript = openai.Audio.transcribe("whisper-1", audio)
+    return transcript['text']
+    
+
+# Create a Gradio Tabbed Interface
+iface = gr.Interface(
+    fn=transcribe_audio,
+    inputs= gr.Audio(source="upload", type="filepath"),
+    outputs="text",
 )
 
-demo.launch()
+
+iface.launch()