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Runtime error
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Update app.py
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app.py
CHANGED
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@@ -1,14 +1,18 @@
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# app.py
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import os
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import asyncio
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from dotenv import load_dotenv
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import chainlit as cl
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# Attempt to import google.generativeai (optional dependency)
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try:
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import google.generativeai as genai
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except
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genai = None
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# Load .env (won't override Space secrets)
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load_dotenv()
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@@ -19,19 +23,16 @@ MODEL_NAME = os.getenv("MODEL_NAME", "gemini-2.0-flash")
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# Try to configure Gemini if possible
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model = None
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if genai is None:
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print("[Info] google-generativeai not installed or failed to import. Gemini will be unavailable.")
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else:
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if GOOGLE_API_KEY:
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try:
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genai.configure(api_key=GOOGLE_API_KEY)
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model = genai.GenerativeModel(MODEL_NAME)
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except Exception as e:
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print("[Info] GOOGLE_API_KEY not found in environment. Set it in Space Secrets to enable Gemini.")
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SYSTEM_PROMPT = "You are a helpful assistant."
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@@ -46,7 +47,6 @@ async def on_chat_start():
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"""Welcome message and session init."""
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cl.user_session.set("message_history", [{"role": "system", "content": SYSTEM_PROMPT}])
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if model is None:
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# Informative welcome when Gemini not available
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await cl.Message(
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content=(
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"Hello — the app is running. Gemini is not available because GOOGLE_API_KEY is not set or the model failed to init.\n\n"
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@@ -64,17 +64,16 @@ async def handle_message(message: cl.Message):
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await cl.Message(content="Please type a question or prompt.").send()
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return
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# Store message in session history
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history = cl.user_session.get("message_history", [])
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history.append({"role": "user", "content": user_text})
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cl.user_session.set("message_history", history)
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# Send a progress message
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progress = cl.Message(content="(Thinking...)")
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await progress.send()
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if model is None:
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# Fallback behavior: echo plus short helpful tips
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reply = (
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"Gemini not initialized (GOOGLE_API_KEY missing or model failed to init).\n\n"
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"Echoing your input:\n\n" + user_text + "\n\n"
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@@ -84,16 +83,17 @@ async def handle_message(message: cl.Message):
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try:
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resp = await _call_gemini_generate(user_text)
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reply = getattr(resp, "text", None) or str(resp)
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except Exception as e:
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reply = f"[Error calling Gemini API] {e}"
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# Update the progress message with final reply
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try:
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progress.content
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except Exception:
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await cl.Message(content=reply).send()
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# Save assistant reply to history
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history.append({"role": "assistant", "content": reply})
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cl.user_session.set("message_history", history)
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import os
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import asyncio
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import logging
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from dotenv import load_dotenv
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import chainlit as cl
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# Set up logging
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logging.basicConfig(level=logging.INFO)
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# Attempt to import google.generativeai (optional dependency)
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try:
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import google.generativeai as genai
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except ImportError:
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genai = None
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logging.warning("google.generativeai not installed or failed to import. Gemini will be unavailable.")
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# Load .env (won't override Space secrets)
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load_dotenv()
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# Try to configure Gemini if possible
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model = None
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if genai is not None:
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if GOOGLE_API_KEY:
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try:
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genai.configure(api_key=GOOGLE_API_KEY)
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model = genai.GenerativeModel(MODEL_NAME)
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logging.info(f"Gemini model initialized: {MODEL_NAME}")
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except Exception as e:
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logging.warning(f"Failed to init Gemini model '{MODEL_NAME}': {e}")
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else:
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logging.info("GOOGLE_API_KEY not found in environment. Set it in Space Secrets to enable Gemini.")
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SYSTEM_PROMPT = "You are a helpful assistant."
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"""Welcome message and session init."""
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cl.user_session.set("message_history", [{"role": "system", "content": SYSTEM_PROMPT}])
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if model is None:
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await cl.Message(
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content=(
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"Hello — the app is running. Gemini is not available because GOOGLE_API_KEY is not set or the model failed to init.\n\n"
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await cl.Message(content="Please type a question or prompt.").send()
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return
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# Store message in session history
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history = cl.user_session.get("message_history", [])
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history.append({"role": "user", "content": user_text})
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cl.user_session.set("message_history", history)
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# Send a progress message
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progress = cl.Message(content="(Thinking...)")
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await progress.send()
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if model is None:
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reply = (
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"Gemini not initialized (GOOGLE_API_KEY missing or model failed to init).\n\n"
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"Echoing your input:\n\n" + user_text + "\n\n"
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try:
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resp = await _call_gemini_generate(user_text)
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reply = getattr(resp, "text", None) or str(resp)
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except RuntimeError as e:
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reply = f"[Runtime Error] {e}"
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except Exception as e:
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reply = f"[Error calling Gemini API] {e}"
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# Update the progress message with final reply
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try:
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await progress.update(content=reply)
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except Exception as e:
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await cl.Message(content=reply).send()
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# Save assistant reply to history
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history.append({"role": "assistant", "content": reply})
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cl.user_session.set("message_history", history)
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