cors

.gitignore

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

speech-speech/backend/api.py

@@ -1,5 +1,7 @@
 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
 
@@ -8,6 +10,13 @@ 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
@@ -20,7 +29,6 @@ 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(
@@ -36,9 +44,8 @@ def get_text(response: Response, audio: bytes = File()):
 
 @app.post("/conversation")
 async def get_next_response(request: Request, response: Response):
-    response.headers["Access-Control-Allow-Origin"] = "*"
+    # role = "test"
-    #role = "test"
+    # res_msg = "temp test response"
-    #res_msg = "temp test response"
     messages = await request.json()
     res = openAI_clinet.chat.completions.create(
         model="gpt-3.5-turbo",
@@ -49,3 +56,15 @@ 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"