Create app.py

app.py

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+import os
+import io
+import datetime
+import speech_recognition as sr
+import google.generativeai as genai
+from fastapi import FastAPI, UploadFile, Form, Request
+from fastapi.responses import HTMLResponse, FileResponse
+from fastapi.templating import Jinja2Templates
+from fastapi.staticfiles import StaticFiles
+
+# Setup
+app = FastAPI()
+templates = Jinja2Templates(directory="templates")
+
+# Gemini API Key (set in environment variable)
+genai.configure(api_key=os.getenv("API"))
+
+# Store chats and system prompt
+CHAT_HISTORY = []
+SYSTEM_PROMPT = "You are a helpful AI assistant."
+
+@app.get("/", response_class=HTMLResponse)
+async def home(request: Request):
+    return templates.TemplateResponse("index.html", {
+        "request": request,
+        "system_prompt": SYSTEM_PROMPT,
+        "chat_history": CHAT_HISTORY
+    })
+
+@app.post("/upload")
+async def upload_audio(file: UploadFile, system_prompt: str = Form(None)):
+    global SYSTEM_PROMPT
+
+    if system_prompt:
+        SYSTEM_PROMPT = system_prompt
+
+    # Convert audio to text
+    recognizer = sr.Recognizer()
+    audio_bytes = await file.read()
+    with sr.AudioFile(io.BytesIO(audio_bytes)) as source:
+        audio_data = recognizer.record(source)
+        try:
+            extracted_text = recognizer.recognize_google(audio_data)
+        except sr.UnknownValueError:
+            extracted_text = "[Unclear speech]"
+        except sr.RequestError:
+            extracted_text = "[Speech recognition service error]"
+
+    # Send to Gemini
+    model = genai.GenerativeModel("gemini-2.5-flash")
+    chat_input = f"{SYSTEM_PROMPT}\nUser said: {extracted_text}"
+    response = model.generate_content(chat_input)
+
+    reply = response.text if response and hasattr(response, "text") else "[No response]"
+
+    # Save chat
+    CHAT_HISTORY.append({
+        "time": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
+        "user": extracted_text,
+        "assistant": reply
+    })
+
+    return {"user_text": extracted_text, "response": reply}
+
+@app.get("/download_chats")
+async def download_chats():
+    filename = "chat_history.txt"
+    with open(filename, "w", encoding="utf-8") as f:
+        for chat in CHAT_HISTORY:
+            f.write(f"[{chat['time']}]\nUser: {chat['user']}\nAssistant: {chat['assistant']}\n\n")
+    return FileResponse(filename, media_type="text/plain", filename=filename)