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import gradio as gr |
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import os |
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import requests |
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import tempfile |
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HF_API_TOKEN = os.getenv("HF_TOKEN") |
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if not HF_API_TOKEN: |
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raise ValueError("HF_TOKEN environment variable is not set. Please set it to your Hugging Face API token.") |
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MODEL_ID = "rohitnagareddy/Qwen3-0.6B-Coding-Finetuned-v1" |
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API_URL = f"https://api-inference.huggingface.co/models/{MODEL_ID}" |
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HEADERS = {"Authorization": f"Bearer {HF_API_TOKEN}"} |
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def query_hf_api(prompt): |
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try: |
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response = requests.post(API_URL, headers=HEADERS, json={"inputs": prompt}) |
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response.raise_for_status() |
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data = response.json() |
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if isinstance(data, list) and "generated_text" in data[0]: |
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return data[0]["generated_text"] |
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return "[Error] Unexpected response format." |
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except requests.exceptions.RequestException as e: |
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return f"[Error] API request failed: {e}" |
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def chat_fn(prompt, chat_history): |
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response = query_hf_api(prompt) |
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chat_history.append({"role": "user", "content": prompt}) |
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chat_history.append({"role": "assistant", "content": response}) |
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return chat_history, chat_history |
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def save_chat(chat_history): |
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try: |
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with tempfile.NamedTemporaryFile(delete=False, suffix=".txt", mode="w", encoding="utf-8") as f: |
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for entry in chat_history: |
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f.write(f"{entry['role'].capitalize()}: {entry['content']}\n\n") |
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return gr.File.update(value=f.name, visible=True) |
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except Exception as e: |
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return f"[Error] Failed to save chat: {e}" |
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with gr.Blocks(theme=gr.themes.Monochrome()) as demo: |
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gr.Markdown("# 🤖 Qwen3 Coding Chatbot (Gradio + HF API)") |
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with gr.Row(): |
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clear = gr.Button("🧹 Clear Chat") |
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download_btn = gr.Button("⬇️ Download Chat") |
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chat = gr.Chatbot(label="Qwen Chat", type="messages") |
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msg = gr.Textbox(label="Your message", placeholder="Ask me something...") |
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submit = gr.Button("🚀 Send") |
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history = gr.State([]) |
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download_file = gr.File(label="Download", visible=False) |
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submit.click(chat_fn, [msg, history], [chat, history]) |
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msg.submit(chat_fn, [msg, history], [chat, history]) |
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clear.click(lambda: ([], []), None, [chat, history]) |
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download_btn.click(save_chat, [history], download_file) |
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demo.launch() |
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