Upload app.py

app.py

@@ -0,0 +1,123 @@
+import os
+import requests
+import gradio as gr
+
+# --- Config (HF Spaces: set Repository Secret GROQ_API_KEY) ---
+groq_api_key = os.getenv("GROQ_API_KEY")
+if not groq_api_key:
+    raise RuntimeError(
+        "Missing GROQ_API_KEY. In your Space, go to Settings → Repository secrets → Add 'GROQ_API_KEY'."
+    )
+
+url = "https://api.groq.com/openai/v1/chat/completions"
+headers = {
+    "Authorization": f"Bearer {groq_api_key}",
+    "Content-Type": "application/json",
+}
+
+LOGO_URL = "https://raw.githubusercontent.com/Decoding-Data-Science/Omantel/main/download%20(36).png"
+
+OMANTEL_SYSTEM = """You are Aisha, the Omantel AI assistant for developer enablement.
+
+Style
+- Be concise, professional, and action-oriented.
+- Structure all answers as: Summary → Steps → Code → Notes.
+- Prefer bullet points over long paragraphs.
+
+Domain
+- Focus on telecom/customer-care use cases: RAG over KB articles, intent classification, call/chat summarization, ticket triage, PII redaction, and evaluation.
+- Show Python examples (requests, FastAPI, Gradio) and Groq (Llama 3.1-8B).
+- Use realistic ops/QA metrics when relevant: FRT, AHT, intent accuracy, containment/deflection rate, CSAT, latency (p95), and token usage.
+
+Safety & Privacy
+- Do not invent facts; say “I’m not sure” if uncertain.
+- Never include real keys, internal URLs, or customer data. Use placeholders.
+- Redact PII patterns in examples (MSISDN, IMSI, national IDs, emails).
+- Assume all data is confidential; follow least-privilege principles.
+
+Localization
+- Default to English. If the user writes in Arabic, reply in Arabic.
+- Use Asia/Muscat timezone for dates/times when needed.
+
+Formatting
+- Put code in fenced blocks with minimal, runnable examples.
+- Include curl when helpful.
+- Add clear TODOs for env vars and secrets.
+"""
+
+def call_groq(messages, temperature=0.2, max_tokens=600, model="llama-3.1-8b-instant"):
+    body = {
+        "model": model,
+        "messages": messages,
+        "temperature": temperature,
+        "max_tokens": max_tokens,
+    }
+    try:
+        resp = requests.post(url, headers=headers, json=body, timeout=60)
+    except requests.RequestException as e:
+        return f"Error: network/request failed: {e}"
+    if resp.status_code == 200:
+        return resp.json()["choices"][0]["message"]["content"]
+    else:
+        try:
+            return f"Error: {resp.status_code} {resp.json()}"
+        except Exception:
+            return f"Error: {resp.status_code} {resp.text}"
+
+def groq_chat(message, history):
+    messages = [{"role": "system", "content": OMANTEL_SYSTEM}]
+    for u, a in history:
+        if u:
+            messages.append({"role": "user", "content": u})
+        if a:
+            messages.append({"role": "assistant", "content": a})
+    messages.append({"role": "user", "content": message})
+    return call_groq(messages)
+
+# --- Minimal UI with Submit button (structure preserved) ---
+with gr.Blocks(title="Omantel Developer Assistant") as app:
+    gr.HTML("""
+    <style>
+      .header-row { display:flex; align-items:center; gap:12px; }
+      .header-logo img { max-height:48px; border-radius:8px; }
+      .header-title { font-size:20px; font-weight:600; margin:0; }
+    </style>
+    """)
+
+    with gr.Row(elem_classes=["header-row"]):
+        gr.Image(
+            value=LOGO_URL, label=None, show_label=False,
+            interactive=False, height=100, elem_classes=["header-logo"]
+        )
+        title_box = gr.Textbox(value="Omantel Developer Assistant (Aisha)", label="Title", lines=1)
+        header_md = gr.Markdown("### Omantel Developer Assistant (Aisha)", elem_classes=["header-title"])
+
+    def _update_header(t):
+        return f"### {t}" if t.strip() else "### Omantel Developer Assistant (Aisha)"
+    title_box.change(_update_header, inputs=title_box, outputs=header_md)
+
+    gr.Markdown("Ask about telecom/customer-care AI use cases. Answers follow **Summary → Steps → Code → Notes**.")
+
+    chatbot = gr.Chatbot(height=420)
+    user_in = gr.Textbox(placeholder="Type your question…", lines=2, label="Your message")
+    submit_btn = gr.Button("Submit", variant="primary")
+    history_state = gr.State([])  # list of (user, assistant)
+
+    def on_submit(user_msg, history):
+        history = history or []
+        if not user_msg or not user_msg.strip():
+            return history, gr.update(), ""
+        bot_reply = groq_chat(user_msg.strip(), history)
+        history.append((user_msg.strip(), bot_reply))
+        return history, gr.update(value=history), ""
+
+    submit_btn.click(
+        fn=on_submit,
+        inputs=[user_in, history_state],
+        outputs=[history_state, chatbot, user_in],
+        api_name=False
+    )
+
+# HF Spaces: bind to 0.0.0.0
+if __name__ == "__main__":
+    app.launch(server_name="0.0.0.0", server_port=int(os.getenv("PORT", "7860")))