Initial Space setup

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load your fine-tuned model from the Hub
+chatbot = pipeline(
+    "text2text-generation",
+    model="your-username/bayedger-chatbot",  # or your fine-tuned model ID
+    tokenizer="your-username/bayedger-chatbot",
+)
+
+def respond(query):
+    # generate response
+    out = chatbot(f"question: {query} answer:",
+                  max_new_tokens=150,
+                  temperature=1.0,
+                  top_p=0.9,
+                  repetition_penalty=1.1,
+                  num_beams=1)[0]["generated_text"]
+    return out
+
+# Build Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("# 🤖 Bayedger FAQ Chatbot")
+    txt = gr.Textbox(label="Ask me anything", placeholder="Type your question here…")
+    out = gr.Textbox(label="Answer")
+    txt.submit(respond, txt, out)
+
+demo.launch()

requirements.txt

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+transformers
+torch        # or accelerate if you prefer
+gradio