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import gradio as gr |
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import os |
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import requests |
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HF_TOKEN = os.getenv("HF_API_TOKEN") |
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MODEL_NAME = os.getenv("MODEL_NAME", "google/flan-t5-small") |
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API_URL = f"https://api-inference.huggingface.co/models/{MODEL_NAME}" |
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HEADERS = {"Authorization": f"Bearer {HF_TOKEN}"} |
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def chat_fn(message, history): |
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try: |
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prompt = f"Answer the question: {message}" |
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payload = {"inputs": prompt} |
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response = requests.post(API_URL, headers=HEADERS, json=payload) |
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if response.status_code != 200: |
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return f"❌ Ошибка API: {response.status_code}\n{response.text}" |
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try: |
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result = response.json() |
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except Exception: |
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return f"❌ Неверный JSON:\n{response.text}" |
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if isinstance(result, list) and "generated_text" in result[0]: |
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return result[0]["generated_text"] |
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else: |
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return "❌ Ответ не распознан" |
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except Exception as e: |
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return f"❌ Ошибка: {str(e)}" |
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gr.ChatInterface( |
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fn=chat_fn, |
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title="FlareGPT", |
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retry_btn="🔄 Повторить", |
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undo_btn="↩️ Назад", |
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clear_btn="🗑️ Очистить", |
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).launch() |
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