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app.py

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+"""
+Mental Health Support Chatbot
+Built with Gradio + HuggingFace InferenceClient (correct chat API)
+"""
+
+import os
+import gradio as gr
+from huggingface_hub import InferenceClient
+from dotenv import load_dotenv
+# Load .env file
+load_dotenv()
+
+HF_TOKEN = os.getenv("HUGGINGFACE_API_TOKEN")
+
+
+# ✅ System + therapy prompt
+SYSTEM_PROMPT = """
+You are a calm, compassionate Indian mental-health support companion.
+You listen patiently, respond warmly, and provide emotional safety.
+
+Tone guidelines:
+- Gentle, caring, like a supportive Indian friend
+- Validate feelings, never judge
+- Encourage grounding: deep breathing, water, journaling, walk, sunlight
+- Avoid diagnosing, medication, medical claims
+- Encourage professional help when needed
+- Replies short, caring, human
+
+If the user expresses self-harm or suicidal thoughts:
+
+ONLY reply this message:
+
+"I’m really sorry you're feeling this pain. You are not alone, and your feelings matter.  
+Please reach out to someone right now — your safety is most important.
+
+📞 **India Suicide Prevention Helplines**
+• AASRA: +91-9820996549 (24×7)
+• Fortis Stress Helpline: +91-8376804102
+• iCall: +91-9152987821
+• Snehi: +91-9582208181
+
+More verified helplines: https://mhcare.in/
+
+If possible, talk to a trusted family member or friend nearby.  
+Your life is precious, and help is available. I'm here with you."
+
+(Stop conversation after this message.)
+"""
+
+# ✅ Initialize HF model with proper API
+client = InferenceClient(
+    model="meta-llama/Llama-3.1-8B-Instruct",
+    token=HF_TOKEN
+)
+# ✅ Crisis detection
+def is_crisis(text):
+    crisis_keywords = ["suicide", "kill myself", "end my life", "can't live", "self harm", "harm myself"]
+    return any(word in text.lower() for word in crisis_keywords)
+
+# ✅ Chat model call
+def generate_reply(history, user_message):
+    # Crisis check
+    if is_crisis(user_message):
+        return SYSTEM_PROMPT.split("ONLY reply this message:")[1].strip()
+
+    messages = [{"role": "system", "content": SYSTEM_PROMPT}]
+
+    # Handle both tuple & dict history formats
+    for h in history:
+        if isinstance(h, dict):
+            messages.append(h)
+        else:
+            messages.append({"role": "user", "content": h[0]})
+            messages.append({"role": "assistant", "content": h[1]})
+
+    messages.append({"role": "user", "content": user_message})
+
+    resp = client.chat_completion(
+        messages=messages,
+        max_tokens=250,
+        temperature=0.7,
+        top_p=0.9
+    )
+
+    return resp.choices[0].message["content"]
+
+# ✅ Gradio handler
+def chat_response(message, history):
+    if history is None:
+        history = []
+
+    reply = generate_reply(history, message)
+
+    # Convert to dict messages for Gradio
+    formatted = []
+    for h in history:
+        if isinstance(h, dict):
+            formatted.append(h)
+        else:
+            formatted.append({"role": "user", "content": h[0]})
+            formatted.append({"role": "assistant", "content": h[1]})
+
+    formatted.append({"role": "user", "content": message})
+    formatted.append({"role": "assistant", "content": reply})
+
+    return formatted
+
+def clear_chat():
+    return []
+
+# ✅ UI
+with gr.Blocks(title="🧠 Mental Health Support Buddy", theme=gr.themes.Soft()) as demo:
+    gr.Markdown("""
+# 🧠 Mental Wellness Chatbot
+Here to listen. Here to support. You're not alone 💛  
+> ⚠️ Not a substitute for professional therapy
+""")
+
+    chatbot = gr.Chatbot(type="messages", height=450)
+    txt = gr.Textbox(label="How are you feeling today?", placeholder="Share your thoughts...")
+
+    with gr.Row():
+        send = gr.Button("Send", variant="primary")
+        clear = gr.Button("Clear Chat")
+
+    send.click(chat_response, [txt, chatbot], chatbot)
+    send.click(lambda: "", None, txt)
+
+    txt.submit(chat_response, [txt, chatbot], chatbot)
+    txt.submit(lambda: "", None, txt)
+
+    clear.click(clear_chat, None, chatbot)
+
+# ✅ Run app
+if __name__ == "__main__":
+    demo.launch(share=True)

requirements.txt

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+# Core
+gradio==4.44.1
+huggingface-hub>=0.17.2
+python-dotenv>=1.0.1
+
+# Optional (if using extra NLP/ML utilities)
+torch>=2.1.0
+transformers>=4.35.0
+
+# Networking / HTTP requests
+requests>=2.31.0
+
+# For typing & utils
+typing-extensions>=4.7.1