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Create app_base.py
Browse files- app_base.py +29 -0
app_base.py
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import streamlit as st
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import requests
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# Hugging Face API URL
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API_URL = "https://api-inference.huggingface.co/models/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B"
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# Function to query the Hugging Face API
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def query(payload):
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headers = {"Authorization": f"Bearer {st.secrets['HF_TOKEN']}"}
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response = requests.post(API_URL, headers=headers, json=payload)
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return response.json()
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# Streamlit app
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st.title("DeepSeek-R1-Distill-Qwen-32B Chatbot")
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# Input text box
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user_input = st.text_input("Enter your message:")
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if user_input:
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# Query the Hugging Face API with the user input
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payload = {"inputs": user_input}
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output = query(payload)
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# Display the output
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if isinstance(output, list) and len(output) > 0 and 'generated_text' in output[0]:
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st.write("Response:")
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st.write(output[0]['generated_text'])
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else:
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st.write("Error: Unable to generate a response. Please try again.")
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