.gitignore

@@ -1,2 +0,0 @@
-**/.venv/
-**/__pycache__/

speech-speech/backend/.env

@@ -1 +0,0 @@
-OPENAI_API_KEY=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

speech-speech/backend/api.py

@@ -1,53 +0,0 @@
-from openai import OpenAI
-from fastapi import FastAPI, File, Response, Request
-from fastapi.responses import JSONResponse
-from fastapi.encoders import jsonable_encoder
-from json import dumps
-from pydantic import BaseModel
-import filetype
-import whisper
-
-
-app = FastAPI()
-openAI_clinet = OpenAI()
-model = whisper.load_model("base")
-
-
-class ConversationMessege(BaseModel):
-    role: str
-    content: str
-
-
-class Conversation(BaseModel):
-    messages: list[ConversationMessege]
-
-
-@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)
-    print(len(audio))
-    # transcript = openAI_clinet.audio.transcriptions.create(
-    #    model="whisper-1",
-    #    file=audio,
-    #    response_format="text",
-    #    RequestBody
-    # )
-    result = model.transcribe("audio")
-    data = {"len": len(audio), "user-transcript": result["text"]}
-    return data
-
-
-@app.post("/conversation")
-async def get_next_response(request: Request, response: Response):
-    response.headers["Access-Control-Allow-Origin"] = "*"
-    messages = await request.json()
-    res = openAI_clinet.chat.completions.create(
-        model="gpt-3.5-turbo",
-        messages=messages,
-    )
-    res_msg = res.choices[0].message.content
-    role = res.choices[0].message.role
-    print(res_msg)
-    return {"role": role, "content": res_msg}

speech-speech/backend/requirements.txt

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-openai
-fastapi
-uvicorn
-python-multipart