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Update app.py
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app.py
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@@ -1,51 +1,61 @@
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import os
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import gradio as gr
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from openai import
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# Fetch the API key from Hugging Face Spaces Secrets
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OPENROUTER_API_KEY = os.environ.get("API_KEY")
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# Initialize
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client =
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base_url="https://openrouter.ai",
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api_key=OPENROUTER_API_KEY,
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)
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def
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if not OPENROUTER_API_KEY:
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yield "Error: API_KEY secret is missing in Hugging Face Space settings."
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return
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#
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try:
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#
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response = client.chat.completions.create(
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model="meta-llama/llama-3-8b-instruct:free",
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messages=
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stream=True
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)
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#
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partial_message = ""
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for chunk in response:
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if chunk.choices and chunk.choices.delta.content:
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partial_message += chunk.choices.delta.content
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yield partial_message
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except Exception as e:
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yield f"An error occurred: {str(e)}"
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# Define the ChatInterface cleanly
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demo = gr.ChatInterface(
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fn=predict,
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title="OpenRouter Chatbot",
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description="Running
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)
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if __name__ == "__main__":
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# Disable experimental SSR mode to prevent 404 heartbeat connection errors
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demo.launch(ssr_mode=False)
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import os
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import asyncio
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import gradio as gr
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from openai import AsyncOpenAI
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# Fetch the API key from Hugging Face Spaces Secrets
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OPENROUTER_API_KEY = os.environ.get("API_KEY")
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# Initialize the ASYNC client targeting OpenRouter
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client = AsyncOpenAI(
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base_url="https://openrouter.ai",
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api_key=OPENROUTER_API_KEY,
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)
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# Using 'async def' properly handles streaming under Python 3.13
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async def predict(message, history):
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if not OPENROUTER_API_KEY:
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yield "Error: API_KEY secret is missing in Hugging Face Space settings."
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return
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# Clean up history: Modern Gradio can include system blocks or objects.
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# OpenRouter requires only raw 'user' and 'assistant' text roles.
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cleaned_messages = []
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if history:
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for msg in history:
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role = msg.get("role")
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content = msg.get("content")
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# Only append standard text conversations
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if role in ["user", "assistant"] and isinstance(content, str):
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cleaned_messages.append({"role": role, "content": content})
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# Append the new user prompt
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cleaned_messages.append({"role": "user", "content": message})
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try:
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# Request an async stream from OpenRouter
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response = await client.chat.completions.create(
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model="meta-llama/llama-3-8b-instruct:free",
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messages=cleaned_messages,
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stream=True
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)
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# Async generator prevents the StopAsyncIteration crash entirely
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partial_message = ""
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async for chunk in response:
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if chunk.choices and chunk.choices[0].delta.content:
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partial_message += chunk.choices[0].delta.content
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yield partial_message
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except Exception as e:
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yield f"An error occurred while connecting to OpenRouter: {str(e)}"
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# Define the ChatInterface cleanly
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demo = gr.ChatInterface(
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fn=predict,
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title="OpenRouter Chatbot",
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description="Running safely on the absolute latest version of Gradio and Python 3.13.",
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)
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if __name__ == "__main__":
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demo.launch(ssr_mode=False)
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