.gitignore

@@ -1,4 +1,2 @@
 **/.venv/
 **/__pycache__/
-**/audio
-*.mp3

speech-speech/backend/api.py

@@ -1,7 +1,5 @@
 from openai import OpenAI
 from fastapi import FastAPI, File, Response, Request
-from fastapi.middleware.cors import CORSMiddleware
-from fastapi.responses import FileResponse
 from pydantic import BaseModel
 import whisper
 
@@ -10,13 +8,6 @@ app = FastAPI()
 openAI_clinet = OpenAI()
 model = whisper.load_model("base")
 
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
 
 class ConversationMessege(BaseModel):
     role: str
@@ -29,6 +20,7 @@ class Conversation(BaseModel):
 
 @app.post("/get-text")
 def get_text(response: Response, audio: bytes = File()):
+    response.headers["Access-Control-Allow-Origin"] = "*"
     with open("audio", "wb") as f:
         f.write(audio)
     # transcript = openAI_clinet.audio.transcriptions.create(
@@ -44,8 +36,9 @@ def get_text(response: Response, audio: bytes = File()):
 
 @app.post("/conversation")
 async def get_next_response(request: Request, response: Response):
-    # role = "test"
-    # res_msg = "temp test response"
+    response.headers["Access-Control-Allow-Origin"] = "*"
+    #role = "test"
+    #res_msg = "temp test response"
     messages = await request.json()
     res = openAI_clinet.chat.completions.create(
         model="gpt-3.5-turbo",
@@ -56,15 +49,3 @@ async def get_next_response(request: Request, response: Response):
     print(messages)
     print(res_msg)
     return {"role": role, "content": res_msg}
-
-
-@app.post("/speak", response_class=FileResponse)
-def tts(text: str, response: Response):
-    res = openAI_clinet.audio.speech.create(
-        model="tts-1",
-        voice="nova",
-        input=text,
-    )
-    # this works for now but I need to find a way to stream this to response
-    res.stream_to_file("tts.mp3")
-    return "tts.mp3"