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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+acrilc[[:space:]]logo[[:space:]]branding[[:space:]]new[[:space:]]name-16-16.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,25 +1,14 @@
 ---
 title: Sambit AI
 emoji: 🤖
-colorFrom: indigo
-colorTo: pink
+colorFrom: gray
+colorTo: indigo
 sdk: gradio
 sdk_version: "5.30.0"
 app_file: app.py
 pinned: false
 ---
 
-# Sambit AI - Chat with Voice
+# Sambit AI - Voice-enabled AI chatbot
 
-A voice-enabled chatbot powered by Together AI's Mixtral model. Ask via text or voice, get spoken responses!
-
-Built with Python, Gradio, and the Together API.
-
-## 🛠️ Features
-
-- Chat interface using Gradio
-- Speech recognition via microphone
-- AI replies using Together API
-- Voice responses with gTTS
-
-> Make sure to add your `TOGETHER_API_KEY` in **Settings > Secrets** for it to work!
+Mobile-optimized chatbot built with Gradio + Together.ai API.

app.py

@@ -35,9 +35,26 @@ def ask_ai(message, history):
     except Exception as e:
         return f"❌ Error: {str(e)}"
 
-gr.ChatInterface(
-    fn=ask_ai,
-    title="Sambit AI 🤖 — Powered by Acrilc",
-    chatbot=gr.Chatbot(type="messages"),
-    description="Ask anything. Sambit AI uses Together's Mixtral 8x7B model.",
-).launch()
+with gr.Blocks(theme=gr.themes.Base(), css=".gradio-container { max-width: 100% !important; padding: 1rem; }") as demo:
+    with gr.Row():
+        gr.Image(value="acrilc logo branding new name-16-16.png", height=60, show_label=False, container=False)
+        gr.Markdown("## Sambit AI 🤖 — Powered by Together & LLaMA 3", elem_id="title")
+
+    chatbot = gr.Chatbot(label="Chat with Sambit AI", height=400)
+    with gr.Row():
+        msg = gr.Textbox(placeholder="Ask anything...", scale=4)
+        send = gr.Button("Send", scale=1)
+
+    clear = gr.Button("🧹 Clear chat")
+    state = gr.State([])
+
+    def respond(message, history):
+        reply = ask_ai(message, history)
+        history.append((message, reply))
+        return history, ""
+
+    send.click(respond, [msg, state], [chatbot, msg])
+    msg.submit(respond, [msg, state], [chatbot, msg])
+    clear.click(lambda: ([], ""), None, [chatbot, msg])
+
+demo.launch()