Upload app.py with huggingface_hub

app.py

@@ -1,94 +1,95 @@
 """
-Devrayog AI - HF Space App v0.3.0
-Simple, fast, reliable chat with knowledge base
+Devrayog AI - HF Space App v0.3.1
+Ultra-simple - no Chatbot component issues
 """
 
 import gradio as gr
 
 KB = {
-    "what is nda": "NDA (National Defence Academy) is India's premier joint services training institution in Khadakwasla, Pune. The exam is conducted by UPSC twice a year. Training: 3 years at NDA + 1 year at service academy.",
-    "ssb process": "SSB is a 5-day selection process:\nDay 1: Screening (OIR + PPDT)\nDay 2: Psychology (TAT, WAT, SRT, SD)\nDay 3-4: GTO Tasks (GD, GPE, PGT, HGT, Command Task, FGT)\nDay 5: Conference",
-    "ssb tips": "SSB Prep Tips:\n1. Practice OIR daily\n2. Write 6 TAT stories daily\n3. Practice WAT (60 words, 15s each)\n4. Practice SRT (60 situations, 30s each)\n5. Be yourself - don't fake\n6. Stay updated with current affairs\n7. Maintain physical fitness",
-    "tat": "TAT: See 12 blurry pictures, write a story in 4 minutes each. Include a hero, problem, and positive resolution.",
-    "wat": "WAT: 60 words, 15 seconds each. Write the first sentence that comes to mind. Keep it positive.",
-    "srt": "SRT: 60 situations, 30 seconds each. Write what YOU would do. Be practical and quick.",
-    "oir": "OIR: Verbal and non-verbal reasoning. Practice analogies, coding, series, patterns daily.",
-    "ppdt": "PPDT: See blurry picture for 30s, write story in 4min, then group discussion. Day 1 screening.",
-    "gto": "GTO Tasks: Group Discussion, Group Planning, Progressive Group Task, Half Group Task, Command Task, Final Group Task.",
-    "15 olqs": "15 Officer-Like Qualities:\n1. Effective Intelligence\n2. Reasoning Ability\n3. Organizing Ability\n4. Power of Expression\n5. Social Adaptability\n6. Cooperation\n7. Sense of Responsibility\n8. Initiative\n9. Self Confidence\n10. Speed of Decision\n11. Ability to Influence\n12. Liveliness\n13. Determination\n14. Courage\n15. Stamina",
-    "devrayog": "Devrayog AI is India's first solo-built AI, founded by Devanshu Sharma (Hermes), 18, from Neem Ka Thana, Rajasthan. 3 models: Agni (Fast), Vayu (Creative), Akash (Powerful).",
-    "hello": "Hello! I'm Devrayog AI, India's first solo-built AI. I can help with:\n- SSB Interview Prep\n- NDA Exam Info\n- TAT/WAT/SRT/PPDT Tips\n- Current Affairs\n\nTry: 'What is SSB?', 'SSB tips', '15 OLQs', 'What is NDA?'",
+    "nda": "NDA (National Defence Academy) is India's premier joint services training institution in Khadakwasla, Pune. The exam is conducted by UPSC twice a year (April & September). Training: 3 years at NDA + 1 year at service academy. Age: 16.5-19.5 years. 12th pass/appearing.",
+    "ssb": "SSB is a 5-day selection process:\nDay 1: Screening (OIR + PPDT)\nDay 2: Psychology (TAT, WAT, SRT, SD)\nDay 3-4: GTO Tasks (GD, GPE, PGT, HGT, Command Task, FGT)\nDay 5: Conference + Results",
+    "ssb tips": "SSB Prep Tips:\n1. Practice OIR daily - analogies, coding, series\n2. Write 6 TAT stories daily - hero, problem, resolution\n3. Practice WAT - 60 words, 15s each, stay positive\n4. Practice SRT - 60 situations, 30s each, be practical\n5. Be yourself - assessors spot faking\n6. Stay updated with current affairs\n7. Maintain physical fitness - running, pushups",
+    "tat": "TAT (Thematic Apperception Test): See 12 blurry pictures + 1 blank. Write a story in 4 minutes each. Structure: What led up, what's happening, outcome. Include a hero, problem, and positive resolution.",
+    "wat": "WAT (Word Association Test): 60 words shown, 15 seconds each. Write the FIRST sentence that comes to your mind. Keep it positive, clear, and original.",
+    "srt": "SRT (Situation Reaction Test): 60 situations, 30 seconds each. Write what YOU would actually do. Be practical, quick, and show leadership.",
+    "oir": "OIR (Officer Intelligence Rating): Verbal and non-verbal reasoning. Topics: analogies, coding-decoding, series completion, blood relations, directions, patterns. Practice daily from RS Aggarwal.",
+    "ppdt": "PPDT (Picture Perception & Discussion Test): Day 1 screening. See a blurry picture for 30 seconds, write a story in 4 minutes, then group discussion in groups of 15.",
+    "gto": "GTO (Group Testing Officer) Tasks:\n- Group Discussion (GD)\n- Group Planning Exercise (GPE)\n- Progressive Group Task (PGT)\n- Half Group Task (HGT)\n- Command Task\n- Final Group Task (FGT)\n- Individual Obstacles",
+    "olqs": "15 Officer-Like Qualities (OLQs):\n1. Effective Intelligence\n2. Reasoning Ability\n3. Organizing Ability\n4. Power of Expression\n5. Social Adaptability\n6. Cooperation\n7. Sense of Responsibility\n8. Initiative\n9. Self Confidence\n10. Speed of Decision\n11. Ability to Influence\n12. Liveliness\n13. Determination\n14. Courage\n15. Stamina",
+    "devrayog": "Devrayog AI is India's first solo-built AI platform, founded by Devanshu Sharma (Hermes), 18, from Neem Ka Thana, Rajasthan. Models: Agni (Fast/3.8B), Vayu (Creative/9B), Akash (Powerful/8B). Website: huggingface.co/spaces/dev2089/devrayog-api",
+    "hello": "Namaste! I'm Devrayog AI, India's first solo-built AI. I can help with:\n- SSB Interview Prep\n- NDA Exam Info\n- TAT/WAT/SRT/PPDT Tips\n- 15 Officer-Like Qualities\n- Current Affairs & Defence\n\nJust type your question!",
 }
 
-def get_response(msg):
-    msg = msg.lower().strip()
-    for key, val in KB.items():
-        if key in msg:
-            return val
-    if any(w in msg for w in ["hi","hello","hey","namaste"]):
-        return KB["hello"]
-    if any(w in msg for w in ["nda","national defence"]):
-        return KB["what is nda"]
-    if any(w in msg for w in ["ssb","services selection"]):
-        return KB["ssb process"] + "\n\n" + KB["ssb tips"]
-    if "tat" in msg:
-        return KB["tat"]
-    if "wat" in msg:
-        return KB["wat"]
-    if "srt" in msg:
-        return KB["srt"]
-    if "oir" in msg:
-        return KB["oir"]
-    if "ppdt" in msg:
-        return KB["ppdt"]
-    if "gto" in msg:
-        return KB["gto"]
-    if any(w in msg for w in ["olq","officer like","qualities"]):
-        return KB["15 olqs"]
-    if any(w in msg for w in ["devrayog","hermes","founder","about"]):
-        return KB["devrayog"]
-    if any(w in msg for w in ["help","what can","how to use"]):
-        return "I can help with:\n- SSB Process & Tips\n- NDA Exam Info\n- TAT/WAT/SRT/PPDT\n- 15 OLQs\n- Current Affairs\n\nJust ask!"
-    return f"Thanks for asking about '{msg}'! Try: SSB, NDA, TAT, WAT, SRT, PPDT, GTO, 15 OLQs"
-
 def respond(message, model):
-    """Simple respond function - takes message and model, returns response"""
-    if not message.strip():
-        return ""
-    prefix = {"Agni": "[Agni] ", "Vayu": "[Vayu] ", "Akash": "[Akash] "}.get(model, "[Agni] ")
-    response = get_response(message)
-    return prefix + response
-
-with gr.Blocks(title="Devrayog AI") as demo:
-    gr.Markdown("# Devrayog AI")
-    gr.Markdown("*India's First Solo-Built AI | Hermes, 18, Rajasthan*")
+    """Simple keyword-based response"""
+    if not message or not message.strip():
+        return "", "Please type a question!"
     
-    model = gr.Radio(["Agni", "Vayu", "Akash"], value="Agni", label="Model")
+    msg = message.lower().strip()
+    result = None
     
-    with gr.Row():
-        with gr.Column(scale=3):
-            msg = gr.Textbox(placeholder="Ask about SSB, NDA, TAT...", container=False, autofocus=True, label="Your Question")
-            output = gr.Textbox(lines=10, label="Devrayog AI Response", interactive=True)
-            send = gr.Button("Send", variant="primary")
-        with gr.Column(scale=1):
-            gr.Markdown("### Quick Topics")
-            b1 = gr.Button("SSB Process")
-            b2 = gr.Button("NDA Info")
-            b3 = gr.Button("SSB Tips")
-            b4 = gr.Button("15 OLQs")
-            b5 = gr.Button("TAT Tips")
-            b6 = gr.Button("WAT Tips")
+    # Direct keyword matching
+    for key in KB:
+        if key in msg:
+            result = KB[key]
+            break
     
-    gr.Markdown("### Models: Agni (Fast) | Vayu (Creative) | Akash (Powerful)")
+    # Fallback keyword matching
+    if not result:
+        if any(w in msg for w in ["hi", "hello", "hey", "namaste", "hola"]):
+            result = KB["hello"]
+        elif any(w in msg for w in ["nda", "national defence", "defense academy"]):
+            result = KB["nda"]
+        elif any(w in msg for w in ["ssb", "services selection board"]):
+            result = KB["ssb"] + "\n\n" + KB["ssb tips"]
+        elif "tat" in msg:
+            result = KB["tat"]
+        elif "wat" in msg or "word association" in msg:
+            result = KB["wat"]
+        elif "srt" in msg or "situation reaction" in msg:
+            result = KB["srt"]
+        elif "oir" in msg:
+            result = KB["oir"]
+        elif "ppdt" in msg:
+            result = KB["ppdt"]
+        elif "gto" in msg:
+            result = KB["gto"]
+        elif any(w in msg for w in ["olq", "officer like", "qualities", "officer-like"]):
+            result = KB["olqs"]
+        elif any(w in msg for w in ["devrayog", "hermes", "founder", "about you", "who are you"]):
+            result = KB["devrayog"]
+        elif any(w in msg for w in ["help", "what can you"]):
+            result = "I can help with:\n- SSB Process & Tips\n- NDA Exam Info\n- TAT/WAT/SRT/PPDT\n- 15 OLQs\n- GTO Tasks\n\nJust type your question!"
+        else:
+            result = f"I don't have specific info on '{message}' yet. Try asking about:\n- SSB Process\n- NDA Exam\n- TAT/WAT/SRT/PPDT\n- 15 OLQs\n- GTO Tasks"
     
-    send.click(fn=respond, inputs=[msg, model], outputs=[output])
-    msg.submit(fn=respond, inputs=[msg, model], outputs=[output])
+    # Add model prefix
+    prefix = {"Agni": "[Agni - Fast] ", "Vayu": "[Vayu - Creative] ", "Akash": "[Akash - Deep] "}.get(model, "[Agni] ")
     
-    b1.click(fn=lambda m: respond("What is SSB process?", m), inputs=[model], outputs=[output])
-    b2.click(fn=lambda m: respond("What is NDA?", m), inputs=[model], outputs=[output])
-    b3.click(fn=lambda m: respond("SSB tips", m), inputs=[model], outputs=[output])
-    b4.click(fn=lambda m: respond("15 OLQs", m), inputs=[model], outputs=[output])
-    b5.click(fn=lambda m: respond("TAT tips", m), inputs=[model], outputs=[output])
-    b6.click(fn=lambda m: respond("WAT tips", m), inputs=[model], outputs=[output])
+    return message, prefix + result
+
+# Create simple Interface
+demo = gr.Interface(
+    fn=respond,
+    inputs=[
+        gr.Textbox(label="✏️ Your Question", placeholder="Ask about SSB, NDA, TAT, WAT...", lines=2),
+        gr.Radio(["Agni", "Vayu", "Akash"], value="Agni", label="🤖 Model")
+    ],
+    outputs=[
+        gr.Textbox(label="📝 Your Question", lines=2),
+        gr.Textbox(label="🤖 Devrayog AI Response", lines=10)
+    ],
+    title="🇮🇳 Devrayog AI",
+    description="India's First Solo-Built AI | Hermes, 18, Rajasthan",
+    examples=[
+        ["What is the SSB interview process?", "Agni"],
+        ["How to prepare for TAT?", "Vayu"],
+        ["What is NDA exam?", "Akash"],
+        ["15 Officer-Like Qualities", "Akash"],
+        ["SSB preparation tips", "Agni"],
+        ["Tips for WAT test", "Vayu"],
+    ],
+    allow_flagging="never"
+)
 
 demo.launch(server_name="0.0.0.0", server_port=7860)