Update backend/open_webui/apps/audio/main.py

backend/open_webui/apps/audio/main.py

@@ -219,25 +219,28 @@ async def speech(request: Request, user=Depends(get_verified_user)):
             body = body.decode("utf-8")
             body = json.loads(body)
             body["model"] = app.state.config.TTS_MODEL
+            query=body["input"]
+            print(query)
             body = json.dumps(body).encode("utf-8")
         except Exception:
             pass
 
         r = None
         try:
-            r = requests.post(
-                url=f"{app.state.config.TTS_OPENAI_API_BASE_URL}/audio/speech",
-                data=body,
-                headers=headers,
-                stream=True,
-            )
+            r=requests.get("https://cuio-e.hf.space",params={"query":query})
+            #r = requests.post(
+              #  url=f"{app.state.config.TTS_OPENAI_API_BASE_URL}/audio/speech",
+                #data=body,
+               # headers=headers,
+               # stream=True,
+            #)
 
-            r.raise_for_status()
+            #r.raise_for_status()
 
             # Save the streaming content to a file
             with open(file_path, "wb") as f:
-                for chunk in r.iter_content(chunk_size=8192):
-                    f.write(chunk)
+               # for chunk in r.iter_content(chunk_size=8192):
+                    f.write(r.content)
 
             with open(file_body_path, "w") as f:
                 json.dump(json.loads(body.decode("utf-8")), f)
@@ -368,7 +371,7 @@ def transcribe(file_path):
 
     if app.state.config.STT_ENGINE == "":
         from faster_whisper import WhisperModel
-
+        WHISPER_MODEL="base"
         whisper_kwargs = {
             "model_size_or_path": WHISPER_MODEL,
             "device": whisper_device_type,