Create app.py

app.py

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+import gradio as gr
+import requests
+
+# This uses a free Hugging Face API model (no credit card needed)
+API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.2"
+HEADERS = {"Authorization": "Bearer YOUR_HF_TOKEN"}  # You'll get this in step 2 below
+
+def chat_with_ai(prompt, history):
+    if not prompt.strip():
+        return "", history
+    
+    # Prepare the prompt for the model
+    full_prompt = f"<s>[INST] You are a helpful AI project assistant. Answer clearly and concisely. {prompt} [/INST]"
+    
+    try:
+        response = requests.post(API_URL, headers=HEADERS, json={"inputs": full_prompt})
+        result = response.json()
+        reply = result[0]["generated_text"].split("[/INST]")[-1].strip()
+    except Exception as e:
+        reply = f"⚠️ Error: {str(e)}. Please check your token or internet connection."
+    
+    history.append((prompt, reply))
+    return "", history
+
+# Build the UI
+with gr.Blocks(theme="soft") as demo:
+    gr.Markdown("# 🤖 Hermus AI Project Assistant")
+    gr.Markdown("Ask me to write code, plan projects, or debug anything.")
+    
+    chatbot = gr.Chatbot(height=400)
+    msg = gr.Textbox(label="Your message", placeholder="Type your project question here...")
+    clear = gr.Button("Clear chat")
+    
+    msg.submit(chat_with_ai, [msg, chatbot], [msg, chatbot])
+    clear.click(lambda: None, None, chatbot, queue=False)
+
+demo.launch()